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Article

Clinical–Biological Assessment of Prosthetic Field Following Pre-Prosthetic Phase Related to Prosthetic Treatment Solutions

Faculty of Dental Medicine, Grigore T. Popa University of Medicine and Pharmacy Iasi, Universitatii Street 16, 700115 Iasi, Romania
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Author to whom correspondence should be addressed.
Clin. Pract. 2025, 15(8), 140; https://doi.org/10.3390/clinpract15080140
Submission received: 9 June 2025 / Revised: 22 July 2025 / Accepted: 25 July 2025 / Published: 26 July 2025

Abstract

Background. Extensive partial edentulism alters the biological and functional balance of the stomatognathic system, requiring targeted pre-prosthetic procedures to optimize treatment outcomes. Objectives. The aim of this study was to assess the extent of improvement in the clinical–biological scores of the prosthetic field in patients with extensive edentulism, following pre-prosthetic interventions. Materials and Method. This prospective, cross-sectional study investigated 194 subjects with extensive partial edentulism. Clinical–biological scores, initially and following the pre-prosthetic phase, were recorded using a scoring system that evaluated dental and periodontal status, bone and mucosal support, occlusion, and mandibulo-cranial relationships. Statistical comparisons of clinical–biological scores were related to the type of prosthetic therapy. Statistical significance was considered at a p-value < 0.05. Results. There was an overall significant improvement in the clinical–biological scores initially (mean value 20.2) and after pre-prosthetic procedures (mean value 23.22) (p < 0.001). When treatment groups were divided, the implant-assisted prosthesis group showed the best improvement in all domains, followed by the conventional fixed-prostheses group (p < 0.01). Dental support improved significantly in those with semi-rigid composite prostheses (p = 0.014), while periodontal support was improved in both fixed- and hybrid-implant groups. Mucosal and bone support improved mostly in the fixed-implant groups (p = 0.014). Conclusions. Pre-prosthetic procedures significantly enhance the biological and functional readiness of the prosthetic field, with the degree of improvement influenced by the complexity and type of planned prosthetic rehabilitation. The findings underscore the value of individualized pre-prosthetic protocols as an essential component of prosthetic treatment planning.

1. Introduction

Extensive partial edentulism continues to pose a complex challenge in prosthetic dentistry. The absence of multiple teeth in one or both arches often leads to profound biological and functional changes—affecting occlusion, periodontal health, bone integrity, and mandibulo-cranial relationships. Despite growing interest in the topic, the literature remains limited when it comes to quantifying the biological impact of pre-prosthetic interventions [1]. Preparation of the prosthetic field is intended to restore balance within the stomatognathic system by addressing dental, periodontal, mucosal, and bony deficiencies, while also correcting occlusal and functional discrepancies [2]. However, the degree to which these parameters improve, and how such improvements vary depending on the intended prosthetic solution, remains insufficiently documented.
Optimization of the clinical–biological parameters in the prosthetic field is necessary for the successful management of patients with extensive partial edentulism. An important part in gaining odontal support is the therapy of carious and non-carious lesions, and crown reshaping or resurfacing is a critical factor [3]. Concomitantly, periodontal support indices correlate significantly with non-surgical periodontal therapy, which may be accompanied by surgical options such as flap procedures, tissue grafts, or guided tissue regeneration in the post-prosthetic stage [4]. Mucosal and bony support restoration is generally performed with mucogingival grafting and bone augmentation and is essential for a more stable prosthetic outcome [5]. A correct diagnosis of occlusal and mandibulo-cranial discrepancies is of great importance in prosthetic planning, since this type of dysfunction can limit the possibilities of rehabilitation and affect final results if left uncorrected [6]. The restoration of mandibulo-cranial balance and overall function has been demonstrated with corrective measures, such as occlusal adjustment and transitional prostheses [7]. It is also very important to improve occlusal indices not only to ensure biomechanical health, but also to prevent esthetic limitations and malformations of denture perimeters [8]. The need for clinical–biological parameters as guiding elements in the planning of individualized prosthetic treatments has also been stressed in studies using expert systems for decision support in complex cases of partial edentulism [9]. Digital technologies have reshaped prosthetic dentistry by enhancing precision, efficiency, and personalization. Tools like digital impressions and CAD/CAM systems improve design accuracy and treatment predictability. As patients become more aware of these benefits—comfort, speed, and esthetics—digital workflows increasingly support both clinical success and patient expectations for modern care [10,11].
We intended to determine whether a scoring system developed at the Faculty of Dental Medicine (U.M.F. “Grigore T.Popa” Iasi) can offer an objective tool to assess the biological status of the prosthetic field and to consider adequate pre-prosthetic interventions according to local complexity.
Null hypothesis: there is no statistically significant improvement in the clinical–biological indices of the prosthetic field in patients with extensive partial edentulism following pre-prosthetic interventions, and these changes are not influenced by the planned prosthetic treatment modality.
Aim of study: to assess the extent of improvement in the clinical–biological indices of the prosthetic field and stomatognathic system components in patients with extensive partial edentulism requiring pre-prosthetic interventions, in relation to the selected prosthetic treatment strategy.

2. Materials and Methods

2.1. Study Design

In this prospective, cross-sectional study we evaluated patients with extensive partial edentulism, who were candidates for prosthetic therapy at the Clinical Base of the Dental Medicine Faculty, U.M.F. “Grigore T. Popa”, Iași.
This study adhered to the principles outlined in the Declaration of Helsinki and was approved by the Ethics Department of the University of Medicine and Pharmacy “Grigore T. Popa” (Nr. 444/23.05.2024) in Iași. All patients participating in the study provided informed consent by signing a consent form approved by the Ethics Committee of “Grigore T. Popa” University of Medicine and Pharmacy in Iași.
The study group included 194 patients (age: a mean age of 56.46 years ± 0.738 years and a range of 41–78 years; gender: 105 men and 89 women). The inclusion criteria were as follows: (i) aged over 18 years old, (ii) extensive partial edentulism in at least one arch, and (iii) eligible for fixed and removable prosthetic rehabilitation. The exclusion criteria were the following: complete edentulism, active oral infections, a recent history of maxillofacial trauma, and incomplete clinical or paraclinical documentation.
A priori power analysis was conducted with G*Power (version 3.1.9.7) to determine the minimum sample size necessary to detect a medium effect size (f = 0.25) in a repeated-measures analysis with two levels (pre and post intervention) based on the Wilcoxon signed-rank test, an alpha level of 0.05, and a power of 0.80 [12]. The required sample was 134 cases. Therefore our sample size of 194 patients exceeds the minimum requirement and ensures sufficient statistical power.
Eligible patients were randomly assigned to different treatment groups using a randomization algorithm to ensure balanced baseline characteristics and minimize allocation bias.
The evaluation of the prosthetic field status in the pre-treatment stage and after the pre-prosthetic phase was conducted by quantifying clinical–biological scores as follows: dental support; periodontal support; mucosal support; bone support; occlusion support; and mandibulo-cranial (M-C) relationships (Figure 1).
The clinical–biological scores were measured using the clinical scoring scale developed within the Discipline Extensive Partial Edentulism and Removable Restorations, Faculty of Dental Medicine, UMF “Grigore T. Popa”, Iași (Table 1). The criteria for measuring the quantitative scores are shown in Table 2, Table 3, Table 4, Table 5, Table 6 and Table 7. The clinical–biological scores were established based on the proportion of favorable criteria outlined in Table 2, Table 3, Table 4, Table 5, Table 6 and Table 7, with the aim of distinguishing degrees in a balanced and clinically meaningful manner. The “very good” score corresponds to an almost ideal level of support and was assigned to cases with at least 85% favorable criteria. The “good” scores reflect good, though not entirely optimal outcomes, including cases with 65% to 84% favorable criteria. The “medium” score applies to intermediate situations, with 40% to 64% favorable criteria, while the “low” score highlights cases with an unfavorable status, defined by less than 40% favorable criteria, which was considered insufficient for effective functional stability. The selection of these thresholds was based on the need to clearly differentiate clinically significant categories and to avoid excessively wide or inconsistent intervals.
The status of the prosthetic field and stomatognathic system components was evaluated at baseline (primary scores) and following the pre-prosthetic procedures (secondary scores). The criteria for selecting the materials used for the prostheses were closely linked to the clinical–biological condition of the prosthetic field and the type of prosthetic rehabilitation planned. The choice of prosthetic solution and materials was based on how well the patient’s condition matched key support parameters—dental, periodontal, mucosal, bone, occlusal, and mandibulo-cranial relationships—assessed both before and after pre-prosthetic interventions.
The scores were analyzed both at the level of group of the partially edentulous patients and in relation to prosthetic solutions (acrylic prosthesis; composite prosthesis with rigid special retention systems (SRMs); composite prosthesis with semi-rigid SRMs; elastic prosthesis; clasp-retained skeletal prosthesis; fixed implant-prosthetic (IP) rehabilitation; and hybrid removable IP rehabilitation).

2.2. Data Analysis

The statistical analysis was performed in SPSS 29.0. The qualitative data were reported as absolute values and percentages, and the quantitative data were reported as averages, standard deviations, standard errors, minimums, maximums, and medians. The Wilcoxon Z and Marginal Homogeneity Test were used to compare primary and secondary clinical–biological indices. p-values < 0.05 were evaluated as statistically significant, and p-values < 0.01 were evaluated as statistically highly significant.

3. Results

3.1. Changes in Prosthetic Field Scores Following Pre-Prosthetic Interventions in Patients with Extensive Partial Edentulism

In the total sample of patients with extensive edentulism, the mean score increased significantly from 20.2 in the primary assessment to 23.22 in the secondary assessment, with a Wilcoxon signed-rank test indicating a statistically significant difference (Z = −10,293, p < 0.001) (Table 8).

3.2. Changes in Stomatognathic System Scores Following Pre-Prosthetic Interventions According to Socio-Demographics Factors

Table 9 presents the mean values of pre-operative clinical–biological indices (primary) and those after the end of pre-prosthetic interventions (secondary), related to socio-demographic factors. The comparative analysis between the primary and secondary evaluation phases revealed significant improvements in mean scores across all socio-demographic groups. The highest increase was observed in the 40–60 yr. age group, where the mean score rose from 20.61 to 23.80, indicating an improvement of 3.19 points. This was followed by the female group, which recorded an increase of 3.16 points (from 19.90 to 23.06), and the urban group, with an improvement of 3.07 points (from 20.20 to 23.27). In the total sample, the mean score increased from 20.20 to 23.22, resulting in a 3.02 point gain. The male group registered a slightly lower increase of 2.89 points, from 20.46 to 23.35. The smallest improvement was observed in the group aged over 60 yrs., with an increase of 2.72 points, from 19.47 to 22.19. These results suggest that although all socio-demographic groups benefited from the pre-prosthetic interventions, with highly statistically significant differences (p < 0.001 **), the 40–60 yr. age group and female patients showed the highest degree of positive changes regarding the status improvement in the stomatognathic system components (Table 9; Figure 2a–c).

3.3. Changes in Prosthetic Field Scores Following Pre-Prosthetic Interventions According to Planned Prosthetic Treatment Solution

Table 10 presents the mean values of pre-operative clinical–biological indices (primary) and those after the end of pre-prosthetic interventions (secondary), related to prosthetic treatment modalities. The analysis of clinical–biological score improvements based on the prosthetic treatment modality revealed notable differences in treatment outcomes. Patients eligible for acrylic prosthesis treatment recorded the highest increase in mean score, with an improvement of 6.00 points (from 18.00 to 24.00), although this result did not reach statistical significance (p = 0.157). Patients eligible for removable hybrid implant-prosthetic rehabilitation showed statistically significant improvement (p = 0.024) with a gain of 5.00 points (from 20.50 to 25.50). Patients treated with composite prostheses with semi-rigid special retention systems (SRSs) had a mean score increase of 4.00 points (from 16.67 to 20.67), with statistical significance (p = 0.007). Patients eligible for composite prostheses with rigid special retention systems (SRSs) showed an improvement of 3.61 points (from 19.35 to 22.96). Patients suited for fixed implant-prosthetic rehabilitation reached a mean increase of 3.29 points (from 20.71 to 24.00), a highly significant statistical result (p < 0.001). Patients eligible for elastic prostheses and clasp-retained skeletal prostheses also experienced highly statistical significant improvements (p < 0.001 **), with increases of 2.50 and 2.54 points, respectively (Table 10; Figure 3).
In the group of patients rehabilitated with acrylic prostheses, the clinical–biological scores showed no variability between the initial and secondary assessments, maintaining consistent values across all parameters. Dental support and bone support were rated as “good” in both the primary and secondary phases. Periodontal support also remained at a “very good” level throughout the evaluation. Mucosal support was classified as “medium” for both patients in both assessments. Occlusal support and mandibulo-cranial relationships, initially rated as “low,” were both reclassified as “very good” after the completion of the pre-prosthetic phase. The total score improved accordingly, shifting from “good” in the primary assessment to “very good” in the secondary evaluation, indicating a favorable clinical evolution following pre-prosthetic interventions (Table 11).
In the group of patients rehabilitated with composite prostheses using rigid SRMs, several clinically significant improvements were observed following pre-prosthetic interventions. Dental support showed a marked improvement from 42.3% of patients rated as “medium”, 42.3% as “good,” and 15.4% as “very good” to only 7.7% at the “medium” level, while 53.8% reached the “very good” scores (p < 0.001) after the pre-prosthetic stage. Periodontal support improved from 61.5% rated as “good” and 38.5% as “very good” in the initial stage to 100% “very good” post intervention. Scores of mucosal support increased with the proportion of patients rated as “very good” increasing from 15.4% to 84.6% (p = 0.025). Bone support scores changed from 26.9% “very good” to 42.3% after the pre-prosthetic interventions (p = 0.013). Occlusion scores improved notably, with “low” scores dropping from 88.5% to 46.2%, while the “very good” category increased from 0% to 46.2% (p < 0.001). Mandibulo-cranial relationships increased from 23,1% “very good” scores initially to 34.6% post intervention (p = 0.041). Overall, the total score distribution shifted from 80.8% of patients rated as “good” to 46.2% with “very good” scores and 46.2% with “good” scores after pre-prosthetic interventions (Table 12).
In the group of patients rehabilitated with composite prostheses using SRMs, improvements were observed across several clinical parameters following the pre-prosthetic interventions. Regarding dental support, a statistically significant improvement was noted (p = 0.014). Initially, 66.7% of patients were rated as having “good” scores and 33.3% as “very good”. After the pre-prosthetic intervention, the proportion of “very good” scores increased to 33.3%. Periodontal support showed an upward trend, although not statistically significant (p = 0.083). At baseline, the scores were evenly distributed (33.3%) across “medium”, “good”, and “very good” categories. Following the intervention, 66.7% of patients were rated as “good” and one-third (33.3%) as “very good”. Initially, 66.7% of patients had “good” mucosal support and 33.3% “medium”, but post intervention, all patients (100%) were rated as “good”. Bone support improved from 66.7% “good” and 33.3% “medium” to 100% “good”. In terms of occlusion, there was a positive change, although not statistically significant (p = 0.083). While all patients were initially rated as “low,” this score decreased to 66.7% post intervention, while 33.3% reached the “very good” category. Mandibulo-cranial relationships demonstrated a statistically significant improvement (p = 0.028), with the initial 100% of patients rated as “low” shifting to 33.3% each across “low”, “medium”, and “very good” categories after the pre-prosthetic phase. The total scores also showed a statistically significant change (p = 0.020), improving from 100% of patients rated as “good” at baseline to a balanced distribution of 33.3% for “medium”, “good”, and “very good” after the pre-prosthetic phase (Table 13).
In the group of patients rehabilitated with elastic prostheses, the pre-prosthetic interventions led to consistent clinical improvements across several functional and anatomical parameters. Initially, 83.3% of patients were rated as having a “very good” general condition, and 16.7% as “good”. After intervention, the percentage of “very good” scores increased to 91.7%, with only 8.3% remaining at the “good” level. Dental support demonstrated a statistically significant improvement (p < 0.001). Before the intervention, 25.0% of patients were rated as “medium”, 66.7% as “good”, and 8.3% as “very good”. After the pre-prosthetic phase, 41.7% of patients achieved “very good” scores, 50.0% remained at “good”, and only 8.3% were still at the “medium” level. Periodontal support also improved significantly (p = 0.014). Initially, 8.3% of patients were rated as “medium”, 16.7% as “good”, and 75.0% as “very good”. Following the pre-prosthetic interventions, 83.3% reached the “very good” level, while 16.7% remained at “good”. Mucosal support remained unchanged (p = 1.000). Two-thirds of the patients (66.7%) were consistently rated as having “good” mucosal support, and one-third (33.3%) as “very good”, both before and after the intervention. Bone support showed a slight, non-significant improvement (p = 0.083). Initially, 8.3% of patients were rated as “medium”, 50.0% as “good”, and 41.7% as “very good”. After the pre-prosthetic phase, 50.0% of patients were rated as “very good”, 41.7% as “good”, and 8.3% as “medium”, indicating a positive, though modest, shift. Occlusion scores improved significantly (p < 0.001). At baseline, 75.0% of patients had “low” occlusion scores, 16.7% “good”, and 8.3% “medium”. After intervention, the “low” category dropped to 41.7%, while 25.0% of patients reached the “very good” level, 25.0% were rated “good”, and 8.3% remained at “medium”. Mandibulo-cranial relationships also showed a significant enhancement (p = 0.003). Initially, half of the patients (50.0%) were rated as “low”, 33.3% as “very good”, and 8.3% each as “medium” and “good”. Post intervention, 58.3% of patients reached “very good”, 25.0% remained “low”, and 8.3% were rated “medium” and “good”, respectively. The total score showed a statistically significant improvement (p = 0.001). At baseline, most patients (75.0%) were rated as “good”, 16.7% as “medium”, and only 8.3% as “very good”. After the pre-prosthetic phase, 41.7% of patients were rated as “very good”, 50.0% as “good”, and only 8.3% remained at “medium” (Table 14).
In the group of patients rehabilitated with clasp-retained skeletal prostheses, significant improvements were observed following the pre-prosthetic interventions in most clinical parameters evaluated. Dental support showed a highly significant improvement (p < 0.001). Initially, 31.5% of patients were rated as “medium”, 58.9% as “good”, and only 9.6% as “very good”. After the pre-prosthetic interventions, the proportion of patients in the “very good” category rose substantially to 43.8%, while “good” ratings dropped to 42.5% and “medium” to 13.7%. Periodontal support also improved significantly (p < 0.001). At baseline, 5.5% of patients were rated as “medium”, 35.6% as “good”, and 58.9% as “very good”. Following the pre-prosthetic interventions, 82.2% of patients were in the “very good” category, and 17.8% were rated as “good”. Mucosal support showed a statistically significant change as well (p < 0.001). Initially, 8.2% of patients were rated as “medium”, 69.9% as “good”, and 21.9% as “very good”. After the pre-prosthetic interventions, 31.5% of patients were in the “very good” category, and 68.5% were rated as “good”. Bone support exhibited a modest, non-significant improvement (p = 0.083). At baseline, 4.1% of patients were rated as “medium”, 43.8% as “good”, and 52.1% as “very good”. After the pre-prosthetic interventions, 56.2% were in the “very good” category, 39.7% “good”, and 4.1% remained “medium”. Occlusion scores improved markedly and significantly (p < 0.001). Initially, 82.2% of patients were rated as having “low” occlusion, while only 4.1% each were rated as “good” and “very good”. Post intervention, the “low” category decreased to 52.1%, with 17.8% as rated “good” and 26.0% as “very good”. Mandibulo-cranial relationships also demonstrated significant improvement (p < 0.001). At baseline, 52.1% of patients were rated as “low”, 34.2% as “very good”, and the remaining were divided between “medium” and “good”. After the pre-prosthetic interventions, the proportion of patients rated as “very good” rose to 56.2%, while “low” dropped to 31.5%. The total score showed a highly significant improvement (p < 0.001). Initially, 24.7% of patients were rated as “medium”, 67.1% as “good”, and only 8.2% as “very good”. After the pre-prosthetic interventions, 39.7% of patients reached the “very good” category, 52.1% were rated as “good”, and only 8.2% remained “medium” (Table 15).
In the group of patients undergoing fixed implant-prosthetic rehabilitation, the pre-prosthetic interventions resulted in statistically significant improvements across nearly all evaluated clinical parameters. Dental support improved significantly (p < 0.001). Initially, 14.3% of patients were rated as “medium”, 71.4% as “good”, and 14.3% as “very good”. After the pre-prosthetic interventions, the proportion of patients rated as “very good” increased to 42.9%, while “good” decreased to 57.1%, and “medium” ratings were no longer present. Periodontal support also showed significant improvement (p < 0.001). At baseline, 14.3% of patients were rated as “medium”, 28.6% as “good”, and 57.1% as “very good”. After the pre-prosthetic interventions, the “very good” category rose to 78.6%, with 14.3% rated as “good” and only 7.1% remaining at the “medium” level. Mucosal support showed a statistically significant shift (p = 0.005). Initially, 14.3% of patients were rated as “medium”, 35.7% as “good”, and 50.0% as “very good”. Post intervention, 64.3% of patients were rated as “very good” and 35.7% as “good”, with no patients remaining in the “medium” category. Bone support improved significantly (p = 0.014). At the beginning, 14.3% of patients were rated as “medium”, 57.1% as “good”, and 28.6% as “very good”. After the pre-prosthetic interventions, 42.9% were rated as “very good”, 42.9% as “good”, and 14.3% remained “medium”. Occlusion showed one of the most substantial improvements (p < 0.001). Initially, 85.7% of patients had “low” occlusion ratings, while 7.1% each were rated as “medium” and “good”. Following the pre-prosthetic interventions, the “low” category dropped to 35.7%, and 42.9% of patients reached the “very good” level. Additionally, 14.3% were rated as “good” and 7.1% as “medium”. Mandibulo-cranial relationships also improved significantly (p < 0.001). At baseline, 35.7% of patients were rated as “low”, 42.9% as “very good”, and the remaining were distributed between “medium” (7.1%) and “good” (14.3%). After the pre-prosthetic interventions, 71.4% of patients reached the “very good” category, while “low” ratings decreased to 14.3%. The total score demonstrated a highly significant improvement (p < 0.001). Initially, most patients (78.6%) were rated “good”, 14.3% as “very good”, and 7.1% as “medium”. Following the pre-prosthetic interventions, the scores were evenly split: 50.0% of patients were rated as “very good” and 50.0% as “good”, with no patients remaining at the “medium” level (Table 16).
In the group of patients rehabilitated with removable hybrid implant-prosthetic restorations, clinical improvements were observed across several parameters following pre-prosthetic interventions. Dental support remained stable, with all patients (100%) rated as having “good” support both pre and post intervention. Periodontal support showed improvement, although not tested for statistical significance. Initially, half of the patients (50.0%) were rated as “good” and the other half as “very good”. After the pre-prosthetic intervention, 100% of the patients were rated as having “very good” periodontal support. Mucosal support remained unchanged (p = 1.000), with 50.0% of patients rated as “good” and 50.0% as “very good” at both evaluation stages. Bone support also showed no statistical difference (p = 1.000). At both time points, half of the patients (50.0%) were rated as having “medium” bone support and half as “very good”. Occlusion scores improved significantly (p = 0.028). Initially, all patients (100%) were rated as having “low” occlusion. After the pre-prosthetic interventions, scores shifted evenly, with 50.0% rated as “medium” and 50.0% as “very good”. Mandibulo-cranial relationships showed a clear improvement, though without statistical testing. At baseline, 50.0% of patients were rated as “low” and 50.0% as “very good”. Following the pre-prosthetic intervention, 100% of patients were rated as “very good”. The total score also improved, with a shift from 50.0% “good” and 50.0% “very good” before intervention to 100% “very good” after the pre-prosthetic phase (Table 17).

4. Discussion

4.1. Influence of Pre-Prosthetic Interventions on Outcome of Prosthetic Treatment in Extensive Edentulism

The status of muco-osseous support and other stomatognathic systems components influence significantly temporo-mandibular joint status, which represents a mechanically demanding environment [13,14,15]. Edentulism has increasingly been recognized as a major public health issue, particularly given the estimate that in 2030, persons aged 65 and older will make up 26% of the population [14,15]. At the same time, alveolar bone resorption and residual ridge irregularity produced by extensive partial edentulism will affect occlusion and cranio-mandibular relationships, which have a direct relationship with temporomandibular joint (TMJ) disorders [8]. Such complications may comprise dental migrations, tooth extrusions, facial modification, and/or muscle or joint dysfunction [13,14,15]. Successful prosthetic rehabilitation in such patients would require a team approach, especially considering regional and systemic factors. Local conditions, such as the number and distribution of remaining teeth, residual ridge, mucosal and osseous support, occlusion, and cranio-mandibular relationship must be thoroughly assessed [16]. At the systemic level, neuromuscular control, psychological status, overall health robustness, and even economic limitations or patient preference contribute to treatment planning [17]. Both pre-prosthetic interventions and pro-prosthetic management are necessary to maintain biomechanical integrity. These phases are intended to modify the negative clinical and biological indices of the prosthetic field in view of the functional interdependence of the components of the stomatognathic system [18]. A prosthetic treatment should therefore aim to restore and harmonize all structures of the muco-osseous and functional systems, and complications such as malocclusion, mandibular deviation, discomfort in the TMJ, and alteration of the cranio-mandibular coordination should be resolved [17,18,19]. Pre-prosthetic interventions should be directed toward possible etiological factors from various aspects, requiring the clinician to have a comprehensive knowledge of the functional, anatomical, and biological conditions of the prosthetic field [20].
In this context, we used a quantitative score developed at the Faculty of Dental Medicine, UMF “Grigore T. Popa”, Iasi (Romania), to investigate the scale of modifications in the stomatognathic system components following intervention in the pre-prosthetic phase. The extended and detailed interpretation of the changes in clinical–biological scores among different patient categories highlights not only the varying magnitude of improvements depending on the type of prosthetic treatment but also the differentiated need for pre-prosthetic interventions to ensure a biologically and functionally adequate prosthetic field. Patients rehabilitated with acrylic prostheses showed the highest increase in mean scores (+6.00 points), although without statistical significance. Although the group of patients rehabilitated with acrylic prostheses showed the highest numerical increase in clinical–biological scores following pre-prosthetic interventions (+6.00 points), this change did not reach statistical significance. However, a qualitative examination of the results revealed substantial changes in occlusal support and mandibulo-cranial relationships, both of which progressed from a “low” to a “very good” classification after pre-prosthetic treatment. These findings highlight the particular need for functional correction and occlusal rebalancing in patients receiving mucosa-borne prosthetic solutions. Even in a small sample, the magnitude of the clinical–biological score improvement supports the idea that pre-prosthetic interventions are indispensable for achieving optimal outcomes in removable mucosa-supported prostheses. Further research with larger cohorts is necessary to confirm these trends and explore whether these improvements translate into long-term prosthetic success and patient satisfaction. Since acrylic dentures rely on mucosal support, they demand significant modifications in the prosthetic field—through occlusal rebalancing, mucosal treatments, or planned rebasing—which justifies the significant changes in the clinical–biological indices [21]. In contrast, patients treated with removable hybrid implant-supported prostheses achieved a statistically significant improvement (+5.00 points, p = 0.024), with uniform progress across nearly all components of the stomatognathic system. These results are explained by the dual nature of the prosthesis—implant-supported but removable—which requires both biomechanical stabilization of cranio-mandibular relations and conditioning of the prosthetic field (bone support, occlusion, and periodontal balance) [22,23,24]. The necessary pre-prosthetic interventions are therefore more complex and multidisciplinary, which justifies the substantial score changes. Patients treated with composite prostheses using rigid retention systems showed an average improvement of 3.61 points, while those with semi-rigid systems achieved a 4.00 point increase (p = 0.007). In both cases, the score changes reflect the need to correct dental, periodontal, and occlusal balance to ensure optimal integration of the mechanical retention components. Rigid systems require a more precise clinical–biological adaptation, especially in terms of bone and periodontal support, to prevent overloading and maintain long-term function. Therefore, pre-prosthetic interventions in these cases are relatively complex but targeted, which explains the moderate yet significant score increases [25]. Patients rehabilitated with elastic prostheses showed a score increase of 2.50 points (p < 0.001), while those with clasp-retained skeletal prostheses recorded a similar increase of 2.54 points. These less invasive prosthetic solutions involve functional adaptation of the prosthetic field that does not require extensive biological or surgical interventions. For elastic prostheses, improvements are primarily related to occlusal balance and functional relationships due to the prosthesis’ flexibility and mucosal resilience. In the case of skeletal prostheses, the most notable progress occurred in cranio-mandibular relationships and occlusion, indicating that functional rebalancing rather than biological intervention is the main requirement [26]. Fixed implant-supported rehabilitations led to a mean increase of 3.29 points (p < 0.001), with significant progress across all evaluated parameters.
These results underline the major importance of pre-prosthetic stages in these cases, as the long-term success of fixed prostheses depends on a perfectly balanced biological environment.
Pre-prosthetic procedures are rigorous and multidimensional—addressing periodontal, surgical, functional, and intermaxillary aspects. As such, even if the score increase is not the highest, it is consistent and broadly distributed across the entire stomatognathic system. In comparison, acrylic and hybrid implant-supported prostheses require the most extensive pre-rehabilitation corrections, justifying the highest score increases [26,27]. In contrast, treatments using special retention systems (rigid or semi-rigid) involve more focused biomechanical and biological adaptations, while skeletal and elastic prostheses require more conservative, functionally oriented approaches with smaller but significant score variations. Fixed implant-supported rehabilitations, despite more moderate score changes, stand out due to the coherence of improvements and the high standard of biological correction required, reflecting rigorous and multidisciplinary clinical planning [28,29,30,31,32,33].
These differences confirm that the magnitude of clinical–biological score improvements is directly related to the complexity and type of prosthetic solution planned: the more the rehabilitation relies on long-term functional stability, the more a thoroughly balanced prosthetic field is required, and the more elaborate and decisive the pre- and pro-prosthetic interventions must be to ensure the success of treatment.

4.2. Practical Implications

This research highlights the complications of extensive partial edentulism and the need for proper quantification of the improvements obtained in the pre-prosthetic stage to optimize treatment protocols, minimize failure risks, and ensure long-term functional and esthetic outcomes in complex fixed and removable prosthetic rehabilitations. The therapeutic management of the patients with extensive partial edentulism requires both theoretical and practical knowledge of the optimal parameters of stomatognathic system components to avoid biomechanical instability, esthetics failure, and improper design of the future prosthetic restorations.

4.3. Limitations

The current study has a number of limitations that need to be considered. First, the observational and non-randomized design hinders the possibility of establishing a cause–effect relationship between pre-prosthetic treatments and variations in the clinical–biological scores of the prosthetic field. A further limitation was the selection of the sample from a single clinical context and the potential impact that this would have on the generalizability to other populations with varying socio-economic, geographic, or healthcare access characteristics. Although socio-demographic factors were taken into consideration, other potential confounders (systemic health status, medication consumption, parafunctional habits, and previous prosthetic experience) were not adequately controlled and might have introduced some biases in the results. Furthermore, some treatment subgroups (i.e., the group rehabilitated with an acrylic prosthesis or implant-supported removable rehabilitation) were represented by only a small patient sample, which reduced the clinical trial’s statistical power. The lack of objective functional evaluation (such as electromyography, analysis of occlusal force, or more detailed tests of masticatory efficiency) may have led to an underestimation of clinical effects, especially in borderline and subclinical cases. The short period of follow-up does not make it possible to determine whether the prosthetic treatments performed are stable and durable in the longer term. The method of anatomic and functional assessment was not as accurate as might be achieved by modern objective methods such as 3D imaging or digital occlusal analysis. Furthermore, the absence of patient-reported outcomes (quality of life or satisfaction) makes it impossible to correlate the biological scores with the real patient experience.

4.4. Future Research Directions

Digital previews of prosthetic outcomes contribute to greater patient involvement by offering enhanced transparency and fostering trust in the proposed treatment plan [34,35]. As patients become more familiar with these technologies, the demand for digitally assisted prosthetic solutions is likely to rise. Further research is needed to investigate how integrating digital workflows into the pre-prosthetic phase impacts both clinical performance and patient satisfaction. As future perspectives, objective digital evaluations (CBCT, 3D scans, and computerized occlusal analysis) should be included to more objectively validate the biological and functional modifications of the prosthetic field. Long-term studies are necessary to investigate the durability of clinical and biological enhancements and to correlate these with prosthetic success. Multihospital and randomized study designs would increase external validity and provide standardized pre-prosthetic protocols. Incorporating self-reported outcomes, for example, perceived masticatory efficiency and comfort, should allow assessment of treatment efficacy from another perspective. Additionally, the possibility of artificial intelligence tools being used in personalized prosthetic planning could be investigated in further studies.

5. Conclusions

The efficiency of a pre-prosthetic treatment is directly related to the type of prosthetic rehabilitation to be performed. These cases demand a more extensive adjustment of occlusion and cranio-mandibular relationships, revealing the relevance of thorough preparation in cases with greater prosthetic complexity. Patients eligible for fixed implant-supported and fixed composite prostheses (rigid and semi-rigid retention) provided strong evidence of statistically significant improvement in all stomatognathic system functional components, allowing a balance between the biological and biomechanical condition before definitive prosthetic management. In patients eligible for elastic and clasp-retained skeletal prostheses, the enhancement in prosthetic field scores was generally moderate, with significant changes especially in occlusal and mandibulo-cranial relationships. The amount of clinical–biological score improvement indicates the functional needs and biomechanical properties for each prosthetic concept, requiring tailored pre-prosthetic procedures. These protocols should further be adjusted to the expected distribution of loading, retention system, and anatomical complexity of the prosthetic field to optimize the treatments especially in partial extensive edentulism.

Author Contributions

All the authors contributed equally. Conceptualization, P.S. and N.F.; methodology D.A.-F.; software, C.D.; validation, N.F.; formal analysis, C.D.; investigation, P.S., N.F., and D.A.-F.; resources, N.F.; data curation, P.S.; writing—original draft preparation, P.S.; writing—review and editing, N.F. and D.A.-F.; visualization, P.S. and N.F.; supervision, N.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Research Ethics Committee of the University of Medicine and Pharmacy “Grigore T. Popa” in Iași (approval number 444 /; approval date: 23 May 2024).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The original contributions presented in this study are included in the article.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
MCmaxillo-cranial
Mdmandibular
Mxmaxillary
SSDSstomatognathic system disfunctional syndrome
TMJtemporo-mandibular joint

References

  1. Pellizzer, E.P.; de Faria Almeida, D.A.; Falcón-Antenucci, R.M.; Sánchez, D.M.I.K.; Zuim, P.R.J.; Verri, F.R. Prevalence of removable partial dentures users treated at Aracatuba Dental School-UNESP. Gerodontology 2012, 29, 140–144. [Google Scholar] [CrossRef]
  2. Friel, T.; Waia, S. Removable Partial Dentures for Older Adults. Prim. Dent. J. 2020, 9, 34–39. [Google Scholar] [CrossRef]
  3. Lauritano, D.; Moreo, G.; Della Vella, F.; Di Stasio, D.; Carinci, F.; Lucchese, A.; Petruzzi, M. Oral Health Status and Need for Oral Care in an Aging Population: A Systematic Review. Int. J. Environ. Res. Public Health 2019, 16, 4558. [Google Scholar] [CrossRef]
  4. Gotfredsen, K.; Rimborg, S.; Stavropoulos, A. Efficacy and risks of removable partial prosthesis in periodontitis patients: A systematic review. J. Clin. Periodontol. 2022, 49 (Suppl. S24), 167–181. [Google Scholar] [CrossRef]
  5. Kose, T.E.; Demirtas, N.; Cakir Karabas, H.; Ozcan, I. Evaluation of dental panoramic radiographic findings in edentulous jaws: A retrospective study of 743 patients "Radiographic features in edentulous jaws. J. Adv. Prosthodont. 2015, 7, 380–385. [Google Scholar] [CrossRef]
  6. Poštić, S.D. Specific occlusal scheme for partially edentulous patients with TMD signs-preliminary report. J. Stomatol. Oral Maxillofac. Surg. 2018, 119, 337–347. [Google Scholar] [CrossRef]
  7. Campos, S.C.Y.; Mosquim, V.; Jacomine, J.C.; Zabeu, G.S.; de Espíndola, G.G.; Bonjardim, L.R.; Bonfante, E.A.; Wang, L. Impact of rehabilitation with removable complete or partial dentures on masticatory efficiency and quality of life: A cross-sectional mapping study. J. Prosthet. Dent. 2022, 128, 1295–1302. [Google Scholar] [CrossRef]
  8. Carpentieri, J.; Greenstein, G.; Cavallaro, J. Hierarchy of restorative space required for different types of dental implant prostheses. J. Am. Dent. Assoc. 2019, 150, 695–706. [Google Scholar] [CrossRef]
  9. Forna, N.; Topoliceanu, C.; Agop-Forna, D. Digital tools and techniques in implant-prosthetic therapy. Proc. Rom. Acad. Ser. B 2022, 24, 299–306.17. [Google Scholar]
  10. Spagnuolo, G.; Sorrentino, R. The Role of Digital Devices in Dentistry: Clinical Trends and Scientific Evidences. J. Clin. Med. 2020, 9, 1692. [Google Scholar] [CrossRef]
  11. Wang, J.; Wang, B.; Liu, Y.Y.; Luo, Y.L.; Wu, Y.Y.; Xiang, L.; Yang, X.M.; Qu, Y.L.; Tian, T.R.; Man, Y. Recent Advances in Digital Technology in Implant Dentistry. J. Dent. Res. 2024, 103, 787–799. [Google Scholar] [CrossRef]
  12. Faul, F.; Erdfelder, E.; Lang, A.-G.; Buchner, A.G. Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 2007, 39, 175–191. [Google Scholar] [CrossRef]
  13. Murphy, M.K.; MacBarb, R.F.; Wong, M.E.; Athanasiou, K.A. Temporomandibular disorders: A review of etiology, clinical management, and tissue engineering strategies. Int. J. Oral Maxillofac. Implant. 2013, 28, e393–e414. [Google Scholar] [CrossRef]
  14. Wu, Y.; Lan, Y.; Mao, J.; Shen, J.; Kang, T.; Xie, Z. The interaction between the nervous system and the stomatognathic system: From development to diseases. Int. J. Oral Sci. 2023, 15, 34. [Google Scholar] [CrossRef]
  15. Şakar, O. The Effects of Partial Edentulism on the Stomatognathic System and General Health; Springer: Cham, Switzerland, 2024. [Google Scholar] [CrossRef]
  16. Antohe, M.E.; Agop Forna, D.; Andronache, M.; Feier, R.; Forna, N.C. Aspects of the therapy of partially extended edentation using modern methods. Rom. J. Oral Rehabil. 2016, 8, 16–25. [Google Scholar]
  17. Zlataric, D.K.; Celebic, A. Treatment outcomes with removable partial dentures: A comparison between patient and prosthodontist assessments. Int. J. Prosthodont. 2019, 14, 4. [Google Scholar]
  18. Badel, T.; Zadravec, D.; Bašić Kes, V.; Smoljan, M.; Kocijan Lovko, S.; Zavoreo, I.; Krapac, L.; Anić Milošević, S. Orofacial pain-diagnostic and therapeutic challenges. Acta Clin. Croat 2019, 58 (Suppl. S1), 82–89. [Google Scholar] [CrossRef]
  19. Kelleher, M.; Ray-Chaudhuri, A.; Khawaja, N. Patients’ Priorities and Attitudes Towards Their Temporo-Mandibular Disorders. Prim. Dent. J. 2015, 4, 17–21. [Google Scholar] [CrossRef]
  20. Chang, C.L.; Wang, D.H.; Yang, M.C.; Hsu, W.E.; Hsu, M.L. Functional disorders of the temporomandibular joints: Internal derangement of the temporomandibular joint. Kaohsiung J. Med. Sci. 2018, 34, 223–230. [Google Scholar] [CrossRef]
  21. Kim, J.J. Revisiting the Removable Partial Denture. Dent. Clin. N. Am. 2019, 63, 263–278. [Google Scholar] [CrossRef]
  22. Askar, O.M.; ELsyad, M.A. Fiber-Reinforced Hybrid Prosthesis Veneered with Composite Resin for 4 Implant-Supported Fixed Provisional and Definitive Restorations. J. Oral Implantol. 2023, 49, 30–38. [Google Scholar] [CrossRef]
  23. Zhuang, R.; Liu, C.; Han, Z.; Li, J.; Geng, W. Implant-Supported Hybrid Prosthesis for Severe Mandibular Defects: A Sequence of Treatments from Alveolar Distraction Osteogenesis to Implant Restoration. J. Oral Maxillofac. Surg. 2018, 76, 2103.e1–2103.e15. [Google Scholar] [CrossRef]
  24. Tribst, J.P.M.; Dal Piva, A.M.O.; Özcan, M.; Borges, A.L.S.; Bottino, M.A. Influence of Ceramic Materials on Biomechanical Behavior of Implant Supported Fixed Prosthesis with Hybrid Abutment. Eur. J. Prosthodont. Restor. Dent. 2019, 27, 76–82. [Google Scholar]
  25. Melo Sá, T.C.; Rodrigues Limeira, F.I.; Alpino Rodrigues, R.A.; Melo de Sá, J.C.; de Magalhães, C.S.; Moreira, A.N.; Yamauti, M. Rehabilitation with Fixed Prosthodontics Associated with Removable Partial Prosthesis: A 5-Year Follow-Up Clinical Evaluation. Contemp. Clin. Dent. 2019, 10, 561–564. [Google Scholar] [CrossRef]
  26. Bohnenkamp, D.M. Removable partial dentures: Clinical concepts. Dent. Clin. N. Am. 2014, 58, 69–89. [Google Scholar] [CrossRef]
  27. Jones, J.D.; Turkyilmaz, I.; Garcia, L.T. Removable partial dentures--treatment now and for the future. Tex. Dent. J. 2010, 127, 365–372. [Google Scholar]
  28. Wimmer, L.; Petrakakis, P.; El-Mahdy, K.; Herrmann, S.; Nolte, D. Implant-prosthetic rehabilitation of patients with severe horizontal bone deficit on mini-implants with two-piece design-retrospective analysis after a mean follow-up of 5 years. Int. J. Implant Dent. 2021, 7, 71. [Google Scholar] [CrossRef]
  29. Lombardo, G.; Corrocher, G.; Pighi, J.; Faccioni, F.; Rovera, A.; Marincola, M.; Nocini, P.F. The impact of subcrestal placement on short locking-taper implants placed in posterior maxilla and mandible: A retrospective evaluation on hard and soft tissues stability after 2 years of loading. Minerva Stomatol. 2014, 63, 391–402. [Google Scholar]
  30. Koutouzis, T.; Fetner, M.; Fetner, A.; Lundgren, T. Retrospective evaluation of crestal bone changes around implants with reduced abutment diameter placed non-submerged and at subcrestal positions: The effect of bone grafting at implant placement. J. Periodontol. 2011, 82, 234–242. [Google Scholar] [CrossRef]
  31. Christensen, J.G.; Grønlund, G.P.; Georgi, S.R.; Starch-Jensen, T.; Bruun, N.H.; Jensen, S.S. Horizontal Alveolar Ridge Augmentation with Xenogenic Block Grafts Compared with Autogenous Bone Block Grafts for Implant-retained Rehabilitation: A Systematic Review and Meta-Analysis. J. Oral Maxillofac. Res. 2023, 14, e1. [Google Scholar] [CrossRef]
  32. Solomon, S.M.; Timpu, D.; Forna, D.A.; Stefanache, M.A.; Martu, S.; Stoleriu, S. AFM comparative study of root surface morphology after three methods of scaling. Mater. Plast. 2016, 5, 546–549. [Google Scholar]
  33. Solomon, S.M.; Stoleriu, S.; Agop Forna, D.; Timpu, D.; Martu Stefanache, M.A.; Ursarescu, I.G.; Martu, S. The quantitative and qualitative assessment of dental substance loss as consequence of root planing by three different techniques. Mater. Plast. 2016, 53, 305–307. [Google Scholar]
  34. Jain, A.; Bhushan, P.; Mahato, M.; Solanki, B.B.; Dutta, D.; Hota, S.; Raut, A.; Mohanty, A.K. The Recent Use, Patient Satisfaction, and Advancement in Digital Smile Designing: A Systematic Review. Cureus 2024, 16, e62459. [Google Scholar] [CrossRef]
  35. Thomas, P.A.; Krishnamoorthi, D.; Mohan, J.; Raju, R.; Rajajayam, S.; Venkatesan, S. Digital Smile Design. J. Pharm. Bioallied Sci. 2022, 14 (Suppl. S1), S43–S49. [Google Scholar] [CrossRef]
Figure 1. Clinical–biological scores used to assess prosthetic field status.
Figure 1. Clinical–biological scores used to assess prosthetic field status.
Clinpract 15 00140 g001
Figure 2. (ac). Mean values of clinical–biological scores for gender (a), age group (b), and environment (residence) (c).
Figure 2. (ac). Mean values of clinical–biological scores for gender (a), age group (b), and environment (residence) (c).
Clinpract 15 00140 g002
Figure 3. Mean values of primary and secondary clinical–biological scores related to prosthetic solutions.
Figure 3. Mean values of primary and secondary clinical–biological scores related to prosthetic solutions.
Clinpract 15 00140 g003
Table 1. Quantitative scores of prosthetic field and stomatognathic system components.
Table 1. Quantitative scores of prosthetic field and stomatognathic system components.
SCOREScore 1Score 2Score 3Score 4
STATUSLowMediumGoodVery good
Percentage of favorable criteria<40%40–64%65–84%>85%
Table 2. Favorable and unfavorable criteria scores of dental support.
Table 2. Favorable and unfavorable criteria scores of dental support.
Favorable criteriaUnfavorable criteria
Absence of dental anomaliesPresence of dental anomalies
Normal or surface contact pointsAbsent contact points
No abrasionPresence of abrasion
No carious lesionsPresence of carious lesions
No coronal restorationsPresence of coronal restorations
No endodontic complicationsPresence of endodontic complications
Tooth distribution on arch (4 quadrants)Tooth distribution on arch (1–3 quadrants)
Number of teeth present (9–14)Number of teeth present (<9)
Table 3. Favorable and unfavorable criteria scores of periodontal support.
Table 3. Favorable and unfavorable criteria scores of periodontal support.
Favorable criteriaUnfavorable criteria
Absence of interdental papilla bleedingPresence of interdental papilla bleeding
Absence of gingival recessionPresence of gingival recession
Absence of interradicular lesionPresence of interradicular lesion
Absence of tooth mobilityPresence of tooth mobility
Table 4. Favorable and unfavorable criteria scores of occlusal support.
Table 4. Favorable and unfavorable criteria scores of occlusal support.
Favorable criteriaUnfavorable criteria
Normal occlusal areasModified occlusal areas
Normal supporting cuspsModified supporting cusps
Normal guiding cuspsModified guiding cusps
Normal grooves, fossae, embrasuresModified grooves, fossae, embrasures
Normal retroincisal slopeModified retroincisal slope
Normal sagittal occlusal curveModified sagittal occlusal curve
Normal transverse occlusal curveModified transverse occlusal curve
Normal frontal curvatureModified frontal curvature
Normal occlusal planeModified occlusal plane
Normal centric relation closure pathModified centric relation closure path
Normal posture relation closure pathModified posture relation closure path
Normal lateral movementsModified lateral movements
Normal protrusionNormal protrusion
Table 5. Favorable and unfavorable criteria scores of bone support.
Table 5. Favorable and unfavorable criteria scores of bone support.
Favorable criteriaUnfavorable criteria
Intact alveolar arch Mx/MdModified alveolar arch Mx/Md
Mx tuberosity—normal shape and retentionMx tuberosity—modified shape and retention
Pyriform tubercle—normal shape and retentionPyriform tubercle—modified shape and retention
Palatal vault—symmetrical, medium depthPalatal vault—asymmetrical, flat depth
Absent palatal torusPresent palatal torus
Absent mandibular torusPresent mandibular torus
Table 6. Favorable and unfavorable criteria scores of mucosal support.
Table 6. Favorable and unfavorable criteria scores of mucosal support.
Favorable criteriaUnfavorable criteria
Alveolo-jugal fold insertion > 4 mmAlveolo-jugal fold insertion of 2–4 mm or <2 mm
Labial frenum insertion > 4 mmLabial frenum insertion of 2–4 mm or <2 mm
Normal functional areas Mx/MdShortened/interrupted functional areas
Low lingual floorMedium/high lingual floor
Mx tuberosity mucosa—normalMx tuberosity mucosa—increased
Pyriform tubercle mucosa—normalPyriform tubercle mucosa—increased
Healthy fibromucosaInflamed fibromucosa
Fibromucosa with normal resilienceFibromucosa with increased resilience
Table 7. Favorable and unfavorable criteria scores of mandibulo-cranial relationship.
Table 7. Favorable and unfavorable criteria scores of mandibulo-cranial relationship.
Favorable criteriaUnfavorable criteria
Relationship of posture (TMJ reference)—normalRelationship of posture (TMJ reference)—modified
Relationship of posture (mandibular reference)—normalRelationship of posture (mandibular reference)—modified
Relationship of posture (dental reference)—normalRelationship of posture (dental reference)—modified
Relationship of posture (bone reference)—normalRelationship of posture (bone reference)—modified
Relationship of posture (labial reference)—normalRelationship of posture (labial reference)—modified
Relationship of posture (TMJ reference)—normalRelationship of posture (TMJ reference)—modified
Relationship of posture (mandibular reference)—normalRelationship of posture (mandibular reference)—modified
Relationship of posture (dental reference)—normalRelationship of posture (dental reference)—normal
Relationship of posture (bone reference)—normalRelationship of posture (bone reference)—normal
Relationship of posture (labial reference)—normalRelationship of posture (labial reference)—normal
Table 8. Clinical–biological score changes in study group.
Table 8. Clinical–biological score changes in study group.
GroupPhaseNMean
(CI 95%)
Std. ErrorStd. DeviationMinMaxMedian
(IQR)
Wilcoxon Zp-Value
TotalPrimary
scores
19420.20
(19.85 ÷ 20.56)
0.182.507152620.00
(19.00 ÷ 22.00)
Z = −10.293p < 0.001 **
Secondary
scores
19423.22
(22.83 ÷ 23.60)
0.1972.742172824.00
(21.00 ÷ 25.00)
**: Highly statistical significant.
Table 9. Primary and secondary scores (mean values) following the pre-prosthetic stage in patients with extensive partial edentulism: socio-demographic parameters.
Table 9. Primary and secondary scores (mean values) following the pre-prosthetic stage in patients with extensive partial edentulism: socio-demographic parameters.
GroupPhaseNMean
(CI 95%)
Std. ErrorStd. DeviationMinMaxMedian
(IQR)
Wilcoxon Zp-Value
MalePrimary10520.46
(19.93 ÷ 20.99)
0.2672.739162620.0
(19.0 ÷ 22.5)
Z = −7.265p < 0.001 **
Secondary10523.35
(22.80 ÷ 23.91)
0.282.872172824.0
(21.0 ÷ 26.0)
FemalePrimary8919.9
(19.44 ÷ 20.36)
0.2312.18152420.0
(18.5 ÷ 21.0)
Z = −7.368p < 0.001 **
Secondary8923.06
(22.51 ÷ 23.60)
0.2742.587182723.0
(20.5 ÷ 25.0)
Age
40–60
Primary12420.61
(20.16 ÷ 21.06)
0.2282.533162620.0
(19.0 ÷ 22.0)
Z = −8.707p < 0.001 **
Secondary12423.8
(23.38 ÷ 24.21)
0.2092.327192824.0
(23.0 ÷ 25.0)
Age >60Primary7019.47
(18.92 ÷ 20.02)
0.2752.301152519.0
(18.0 ÷ 21.0)
Z = −5.532p < 0.001 **
Secondary7022.19
(21.44 ÷ 22.93)
0.3723.113172722.0
(19.0 ÷ 25.0)
UrbanPrimary14820.2
(19.81 ÷ 20.60)
0.1992.419152620.0
(18.25÷22.0)
Z = −9.216p < 0.001 **
Secondary14823.27
(22.84 ÷ 23.70)
0.2192.666182824.0
(21.0 ÷ 25.0)
RuralPrimary4620.2
(19.36 ÷ 21.03)
0.4132.802162519.0
(19.0 ÷ 23.0)
Z = −4.634p < 0.001 **
Secondary4623.04
(22.15 ÷ 23.93)
0.4422.996172724.0
(21.25÷25.0)
**: Highly statistical significant.
Table 10. Primary and secondary scores in patients with extensive partial edentulism: prosthetic treatment modality.
Table 10. Primary and secondary scores in patients with extensive partial edentulism: prosthetic treatment modality.
GroupPhaseNMean
(CI 95%)
Std. ErrorStd. DeviationMinMaxMedian
(IQR)
Wilcoxon Zp-Value
Acrylic prosthesisPrimary218.0
(18.00 ÷ 18.00)
0.00.0181818.0
(18.0 ÷ 18.0)
Z = −1.414p = 0.157
Secondary224.0
(24.00 ÷ 24.00)
0.00.0242424.0
(24.0 ÷ 24.0)
Composite prosthesis with rigid SRMPrimary2619.35
(18.28 ÷ 20.41)
0.5172.637152419.0
(18.0 ÷ 21.0)
Z = −4.318p < 0.001 **
Secondary2622.96
(21.83 ÷ 24.09)
0.5482.793182623.0
(20.75 ÷ 26.0)
Composite prosthesis with semi-rigid SRMPrimary916.67
(15.90 ÷ 17.44)
0.3331.0161816.0
(16.0 ÷ 18.0)
Z = −2.694p = 0.007 **
Secondary920.67
(17.98 ÷ 23.36)
1.1673.5172520.0
(17.0 ÷ 25.0)
Elastic prosthesisPrimary3620.67
(19.92 ÷ 21.41)
0.3672.204182620.0
(19.0 ÷ 22.0)
Z = −4.323p < 0.001 **
Secondary3623.17
(22.22 ÷ 24.12)
0.4672.803192723.5
(20.25÷ 25.75)
Clasp-retained skeletal prosthesisPrimary7320.45
(19.90 ÷ 21.00)
0.2752.351162520.0
(19.0 ÷ 21.0)
Z = −5.664p < 0.001 **
Secondary7322.99
(22.35 ÷ 23.63)
0.3212.746182823.0
(20.0 ÷ 25.0)
Fixed implant-prosthetic rehabilitationPrimary4220.71
(19.98 ÷ 21.44)
0.3612.34162520.5
(20.0 ÷ 22.0)
Z = −5.038p < 0.001 **
Secondary4224.0
(23.28 ÷ 24.72)
0.3542.295192724.5
(22.0 ÷ 26.0)
Removable hybrid implant-prosthetic rehabilitationPrimary620.5
(16.48 ÷ 24.52)
1.5653.834172420.5
(17.0 ÷ 24.0)
Z = −2.251p = 0.024 *
Secondary625.5
(24.93 ÷ 26.07)
0.2240.548252625.5
(25.0 ÷ 26.0)
*: Statistical significant; **: Highly statistical significant.
Table 11. Primary and secondary scores in patients eligible for acrylic prostheses.
Table 11. Primary and secondary scores in patients eligible for acrylic prostheses.
ACRYLIC PROSTHESIS
SCORES
LowMediumGoodVery GoodMarginal Homogeneity Test
n%n%n%n%
Dental
support
Primary 2100.0 -
Secondary 2100.0
Periodontal supportPrimary 2100.0-
Secondary 2100.0
Mucosal
support
Primary 2100.0 -
Secondary 2100.0
Bone
support
Primary 2100.0 -
Secondary 2100.0
OcclusionPrimary2100.0 -
Secondary 2100.0
Mandibulo-cranial
relationships
Primary2100.0 -
Secondary 2100.0
TOTAL SCOREPrimary 2100.0 -
Secondary 2100.0
Table 12. Primary and secondary scores in patients eligible for composite prostheses with rigid SRMs.
Table 12. Primary and secondary scores in patients eligible for composite prostheses with rigid SRMs.
COMPOSITE PROSTHESIS WITH RIGID SRM
SCORES
LowMediumGoodVery GoodMarginal Homogeneity Test
n%n%n%n%
Dental
support
Primary 1142.31142.3415.4p < 0.001 **
Secondary 27.71038.51453.8
Periodontal supportPrimary 1661.51038.5-
Secondary 26100.0
Mucosal
support
Primary 519.21765.4415.4p = 0.025 *
Secondary 2284.6415.4
Bone
support
Primary 726.91246.2726.9p = 0.013 *
Secondary 27.71350.01142.3
OcclusionPrimary2388.5 311.5 p < 0.001 **
Secondary1246.2 27.71246.2
Mandibulo-cranial
relationships
Primary934.6623.1519.2623.1p = 0.041 *
Secondary415.4830.8519.2934.6
TOTAL SCOREPrimary 519.22180.8 p = 0.001 **
Secondary 27.71246.21246.2
*: Statistical significant; **: Highly statistical significant.
Table 13. Primary and secondary scores in patients eligible for composite prostheses with semi-rigid SRMs.
Table 13. Primary and secondary scores in patients eligible for composite prostheses with semi-rigid SRMs.
COMPOSITE PROSTHESIS WITH SEMI-RIGID SRM
SCORES
LowMediumGoodVery GoodMarginal Homogeneity Test
n%n%n%n%
Dental
support
Primary 666.7333.3 p = 0.014 *
Secondary 333.3333.3333.3
Periodontal supportPrimary 333.3333.3333.3p = 0.083
Secondary 666.7333.3
Mucosal
support
Primary 333.3666.7 -
Secondary 9100.0
Bone
support
Primary 333.3666.7 -
Secondary 9100.0
OcclusionPrimary9100.0 p = 0.083
Secondary666.7 333.3
Mandibulo-cranial
relationships
Primary9100.0 p = 0.028 *
Secondary333.3333.3 333.3
TOTAL SCOREPrimary 9100.0 p = 0.020 *
Secondary 333.3333.3333.3
*: Statistical significant.
Table 14. Primary and secondary scores in patients eligible for elastic prostheses.
Table 14. Primary and secondary scores in patients eligible for elastic prostheses.
ELASTIC PROSTHESIS
SCORES
LowMediumGoodVery GoodMarginal Homogeneity Test
n%n%n%n%
General
status
Primary 616.73083.3p = 0.083
Secondary 38.33391.7
Dental
support
Primary 925.02466.738.3p < 0.001 **
Secondary 38.31850.01541.7
Periodontal supportPrimary 38.3616.72775.0p = 0.014 *
Secondary 616.73083.3
Mucosal
support
Primary 2466.71233.3p = 1.000
Secondary 2466.71233.3
Bone
support
Primary 38.31850.01541.7p = 0.083
Secondary 38.31541.71850.0
OcclusionPrimary2775.038.3616.7 p < 0.001 **
Secondary1541.738.3925.0925.0
Mandibulo-cranial
relationships
Primary1850.038.338.31233.3p = 0.003 **
Secondary925.038.338.32158.3
TOTAL SCOREPrimary 616.72775.038.3p = 0.001 **
Secondary 38.31850.01541.7
*: Statistical significant; **: Highly statistical significant.
Table 15. Primary and secondary scores in patients eligible for clasp-retained skeletal prostheses.
Table 15. Primary and secondary scores in patients eligible for clasp-retained skeletal prostheses.
CLASP-RETAINED SKELETAL PROSTHESIS
SCORES
LowMediumGoodVery GoodMarginal Homogeneity Test
n%n%n%n%
General
status
Primary 34.17095.9p = 1.000
Secondary 34.17095.9
Dental
support
Primary 2331.54358.979.6p < 0.001 **
Secondary 1013.73142.53243.8
Periodontal supportPrimary 45.52635.64358.9p < 0.001 **
Secondary 1317.86082.2
Mucosal
support
Primary 68.25169.91621.9p < 0.001 **
Secondary 5068.52331.5
Bone
support
Primary 34.13243.83852.1p = 0.083
Secondary 34.12939.74156.2
OcclusionPrimary6082.279.634.134.1p < 0.001 **
Secondary3852.134.11317.81926.0
Mandibulo-cranial
relationships
Primary3852.134.179.62534.2p < 0.001 **
Secondary2331.534.168.24156.2
TOTAL SCOREPrimary 1824.74967.168.2p < 0.001 **
Secondary 68.23852.12939.7
**: Highly statistical significant.
Table 16. Primary and secondary scores in patients eligible for fixed implant-prosthetic rehabilitation.
Table 16. Primary and secondary scores in patients eligible for fixed implant-prosthetic rehabilitation.
FIXED IMPLANT-PROSTHETIC REHABILITATION
SCORES
LowMediumGoodVery GoodMarginal Homogeneity Test
n%n%n%n%
Dental
support
Primary 614.33071.4614.3p < 0.001 **
Secondary 2457.11842.9
Periodontal supportPrimary 614.31228.62457.1p < 0.001 **
Secondary 37.1614.33378.6
Mucosal
support
Primary 614.31535.72150.0p = 0.005 **
Secondary 1535.72764.3
Bone
support
Primary 614.32457.11228.6p = 0.014 *
Secondary 614.31842.91842.9
OcclusionPrimary3685.737.137.1 p < 0.001 **
Secondary1535.737.1614.31842.9
Mandibulo-cranial
relationships
Primary1535.737.1614.31842.9p < 0.001 **
Secondary614.337.137.13071.4
TOTAL SCOREPrimary 37.13378.6614.3p < 0.001 **
Secondary 2150.02150.0
*: Statistical significant; **: Highly statistical significant.
Table 17. Primary and secondary scores in patients eligible for hybrid removable implant-prosthetic rehabilitation.
Table 17. Primary and secondary scores in patients eligible for hybrid removable implant-prosthetic rehabilitation.
REMOVABLE HYBRID IMPLANT-PROSTHETIC REHABILITATION
SCORES
LowMediumGoodVery GoodMarginal Homogeneity Test
n%n%n%n%
Dental
support
Primary 6100.0 -
Secondary 6100.0
Periodontal supportPrimary 350.0350.0-
Secondary 6100.0
Mucosal
support
Primary 350.0350.0p = 1.000
Secondary 350.0350.0
Bone
support
Primary 350.0 350.0p = 1.000
Secondary 350.0 350.0
OcclusionPrimary6100.0 p = 0.028 *
Secondary 350.0 350.0
Mandibulo-cranial
relationships
Primary350.0 350.0-
Secondary 6100.0
TOTAL SCOREPrimary 350.0350.0-
Secondary 6100.0
*: Statistical significant.
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MDPI and ACS Style

Siminiuc, P.; Agop-Forna, D.; Dascălu, C.; Forna, N. Clinical–Biological Assessment of Prosthetic Field Following Pre-Prosthetic Phase Related to Prosthetic Treatment Solutions. Clin. Pract. 2025, 15, 140. https://doi.org/10.3390/clinpract15080140

AMA Style

Siminiuc P, Agop-Forna D, Dascălu C, Forna N. Clinical–Biological Assessment of Prosthetic Field Following Pre-Prosthetic Phase Related to Prosthetic Treatment Solutions. Clinics and Practice. 2025; 15(8):140. https://doi.org/10.3390/clinpract15080140

Chicago/Turabian Style

Siminiuc, Petruţa, Doriana Agop-Forna, Cristina Dascălu, and Norina Forna. 2025. "Clinical–Biological Assessment of Prosthetic Field Following Pre-Prosthetic Phase Related to Prosthetic Treatment Solutions" Clinics and Practice 15, no. 8: 140. https://doi.org/10.3390/clinpract15080140

APA Style

Siminiuc, P., Agop-Forna, D., Dascălu, C., & Forna, N. (2025). Clinical–Biological Assessment of Prosthetic Field Following Pre-Prosthetic Phase Related to Prosthetic Treatment Solutions. Clinics and Practice, 15(8), 140. https://doi.org/10.3390/clinpract15080140

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