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Review

Systemic Diseases and Biological Dental Implant Complications: A Narrative Review

Unit of Dentistry, Department of Neurosciences, University of Padova, 35128 Padova, Italy
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Author to whom correspondence should be addressed.
Dent. J. 2023, 11(1), 10; https://doi.org/10.3390/dj11010010
Submission received: 1 December 2022 / Revised: 22 December 2022 / Accepted: 26 December 2022 / Published: 29 December 2022

Abstract

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The relationship between periodontitis and such systemic disorders as diabetes, cardiovascular disease and obesity has been extensively investigated. There is less scientific evidence available, however, regarding the influence of systemic diseases on the risk of late failure of dental implant rehabilitation due to peri-implantitis. The aim of the present study was to review the literature on the role of several common systemic disorders (diabetes, obesity, cardiovascular disease, hypertension and osteoporosis) in the onset of peri-implantitis. A database search initially yielded 2787 studies of potential interest published up to 1 March 2022 (993 in PubMed; 908 in Web of Science; and 886 in Scopus). After removing 1190 duplicate articles and checking the titles, abstracts and full texts for relevance, 70 articles were selected for the present analysis. Only cohort, case-control studies and clinical case series were considered. Most of the literature concludes for no association between diabetes, cardiovascular disease, hypertension or osteoporosis and the risk of peri-implantitis. On the other hand, almost all the studies that investigated obesity as a risk factor for implant rehabilitation found a positive association between the two. Further longitudinal studies are needed to better understand the effects of systemic diseases on rehabilitation with dental implants.

Graphical Abstract

1. Introduction

According to the report from the World Workshop on the Classification of Periodontal and Peri-Implant Diseases and Conditions in 2017, peri-implantitis is a pathological condition due to plaque forming in the tissues around dental implants. It is characterized by inflammation of the mucosa and a subsequent gradual loss of the underlying bone [1]. Judging from a meta-analysis conducted by Lee et al., weighted mean implant-based and subject-based peri-implantitis prevalences were 9.25% and 19.83%, respectively. Weighted mean implant-based and subject-based peri-implant mucositis prevalences were 29.48% and 46.83%, respectively [2].
Taken together, cardiovascular and chronic respiratory diseases, cancer and diabetes are responsible for almost 75% of deaths in Europe as a whole, and the principal cause of death in the 53 member states of the WHO European Region. Nowadays, it is well known that preventing and controlling such systemic diseases is also fundamentally important to the health of the oral cavity. The link between systemic diseases and periodontitis has been amply discussed in the literature. It has been established, for instance, that diabetic patients can experience twice as much tooth loss as healthy individuals [3]. Such patients are therefore more likely to need prosthetic rehabilitation measures, which increasingly involve dental implants [4].
In terms of the inflammatory and lipid profile of healthy recipients of dental implants with and without a diagnosis of peri-implantitis, there is evidence to suggest that those suffering from peri-implantitis have a low-grade systemic inflammatory state (higher circulating levels of white blood cells) accompanied by dyslipidemia (increased blood levels of total cholesterol and LDL cholesterol) [5].
Long-term follow-up studies point to peri-implantitis and cardiovascular disease sharing the same risk factors, both being associated with high lipid levels in the blood. To date, the literature remains inconsistent and controversial concerning the association between cardiovascular disease and biological complications affecting implants [6]. Since inflammation is common to both these conditions, it is important to further investigate this potential association in better-controlled studies on more numerous, and more homogeneous sample populations.
There are still very few publications on the influence of obesity on peri-implant tissue health, but an association between obesity and a higher risk of developing periodontitis had already emerged from previous systematic literature reviews [7,8,9,10,11]. One cross-sectional study identified a statistically significant correlation between obese patients’ waist circumference and the levels of proinflammatory cytokines in their peri-implant crevicular fluid, even when the peri-implant tissues were well preserved [12]. Chronic inflammation also induces oxidative stress, which could contribute to the onset of insulin resistance. This is an interesting finding because some studies suggest that insulin resistance can lead to the onset of diabetes type II, and to chronic periodontitis as well [13].
Published findings concerning any link between glycemic control and peri-implant disease are very mixed, but diabetes has been widely recognized as a factor capable of interfering with the postoperative healing process after the insertion of a dental implant. It emerged from a systematic literature review that rehabilitation with dental implants is a safe option if patients’ diabetes mellitus is well controlled [14]. There is still no accepted range of glycated hemoglobin (HbA1c) levels to indicate when diabetes is not controlled, however. More homogeneous reference parameters would be useful in order to clarify the impact of diabetes and glycemic control on peri-implantitis and dental implant failures.
Finally, as concerns osteoporosis, the World Workshop held in 2017 judged this disease to be significantly associated with a higher prevalence and greater severity of radiographically-evident alveolar bone loss. The mechanism behind this association is still not fully understood, however, and no clear links with any other clinical parameters of periodontitis have come to light.
A drawback of previous research on the relationship between systemic diseases and peri-implantitis could lie in the scarcely consistent definition of peri-implantitis and its clinical indicators.
The aim of the present narrative literature review was to investigate the role of several systemic disorders—diabetes, cardiovascular disease, hypertension, obesity and osteoporosis—in the late onset of complications and the failure of osseo-integrated dental implants.

2. Materials and Methods

A literature search was run using the following string in the following three search engines: PubMed, Web of Science and Scopus:
“(peri-implantitis OR peri-implant disease OR dental implant OR osseointegrated implant) AND (systemic disease OR dyslipidemia OR obesity OR metabolic syndrome OR diabetes mellitus OR hyperglycemia OR cardiovascular disease OR hypertension OR hyperlipidemia OR osteoporosis OR osteoporotic OR bisphosphonates OR antiresorptive agents)”.
Filters were used to select only studies in the English language, published until 1 March 2022. Duplicates were removed. Articles not conducted on human beings, those without an abstract and those with titles or abstracts judged inconsistent with the aims of the present review were also omitted; the final step was to remove the items with full text unavailable, single case reports, narrative reviews, systematic reviews, and meta-analyses. After reading the full texts, clinical studies diverging from the purposes of the present review were also rejected. The observational studies selected for review thus include cross-sectional, retrospective and prospective studies on series of clinical cases, case-control studies and cohort studies. The Covidence software was used as support.

3. Results

Applying the search string to the three search engines generated 2787 articles in all, including duplicates (993 in PubMed, 908 in Web of Science and 886 in Scopus). After removing 1190 duplicates, animal or in vitro studies and reading the remaining articles’ titles and abstracts, 242 studies were considered potentially eligible. After removing the case reports and systematic reviews and reading the full texts available, there were ultimately 70 studies judged to be consistent with the aims of our review.
The flowchart illustrates the decision-making process for the selection of the articles eligible for review (Figure 1).

4. Types of Study Examined

Considering the articles by study design, 20 were prospective, 32 were retrospective, 13 were cross-sectional and for 5, the study design was not specified. All the articles retrieved from the electronic database search are listed in the Supplementary Materials (Tables S1–S4).
Among the 20 prospective studies, 14 examined prediabetes and/or diabetes mellitus as a risk factor for the survival and/or success of dental implants, 6 considered osteoporosis/osteopenia and/or the use of anti-resorptive drugs, 3 investigated cardiovascular disease, and 1 focused on obesity. The 32 retrospective studies concerned prediabetes and/or diabetes mellitus in 23 cases, concerning osteoporosis and/or the use of antiresorptive drugs in 14, cardiovascular disease in 8, hypertension in 4, and obesity in 2. Among the 13 cross-sectional studies, 1 examined metabolic syndrome as a risk factor, 10 considered prediabetes and diabetes mellitus, 2 focused on cardiovascular disease, 3 on hypertension, and 3 on obesity. Finally, as concerns the five studies of unspecified design, three analyzed diabetes as a risk factor, one considered only prediabetes and one investigated both diabetes and prediabetes.
The main findings are outlined below, by type of systemic disease.

4.1. Diabetes and Prediabetes

In all, 51 studies were identified concerning the influence of prediabetes and diabetes mellitus type I or II on the onset of late complications in dental implants: 14 were prospective [15,16,17,18,19,20,21,22,23,24,25,26,27,28]; 23 retrospective [29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51]; 10 cross-sectional [52,53,54,55,56,57,58,59,60,61] and 5 of unspecified design [62,63,64,65,66]. Thirty-three of these studies found no association between the success or failure of dental implants and diabetes, while seventeen reported a positive correlation, and in one (cross-sectional) study the peri-implant inflammation parameters were better in patients with diabetes and hypertension than in healthy individuals [53] Articles were grouped by findings concerning diabetes as a risk factor for biological complications of dental implants (Table 1).
Four of the fifty-one studies [31,52,58,59] identified prediabetes as a risk factor for peri-implant inflammation. One of them [58] found statistically significant positive correlations both for advanced glycation end-product (AGE) levels with probing depth and marginal bone loss, and for marginal bone loss and diabetes.

4.2. Obesity

Five [61,67,68,69,70] out of six studies identified a link between obesity and worse clinical and/or biomolecular parameters of peri-implant infection. Only one study found BMI associated with postoperative complications in dental implants, but not with implant failure; this association was not seen in patients with both diabetes and obesity, however [71]. Articles were grouped by findings concerning obesity as a risk factor for biological complications of dental implants (Table 2).

4.3. Cardiovascular Disease

As concerns a relationship between cardiovascular disease and dental implant complications or failure, this emerged in 13 studies in all (3 prospective, 8 retrospective, and 2 cross-sectional), with 11 of them [18,23,38,39,48,49,50,51,54,57,72] reporting no association with a greater risk of peri-implant disease. Only two studies [21,37] found worse outcomes for dental implants in patients with cardiovascular disease than in healthy individuals. Articles were grouped by findings concerning cardiovascular diseases as a risk factor for biological complications of dental implants (Table 3).

4.4. Hypertension

The seven studies identified (four retrospective and three cross-sectional) were almost unanimous in finding no evidence of hypertension being a risk factor for dental implant rehabilitation [44,46,47,53,54,57]. The only exception was one study reporting a higher rate of implant failure in hypertensive patients [48]. Articles were grouped by findings concerning hypertension as a risk factor for biological complications of dental implants (Table 4).

4.5. Osteoporosis and the Use of Antiresorptive Drugs

As for the influence of osteoporosis and/or the use of antiresorptive on the success of dental implant restoration, and the survival of the implants, most studies (n = 16) did not identify them as a risk factor [18,32,36,41,49,50,73,74,75,76,77,78,79,80,81,82]. On the other hand, four studies found that osteoporosis [38,46,51] and/or the use of antiresorptive drugs such as bisphosphonates [33] posed a risk to said success and survival, and also negatively affected implant marginal bone loss. One of these studies [46] reported only osteoporosis as a risk factor, not the use of bisphosphonates.
Articles were grouped by findings concerning osteoporosis (Table 5) and use of antiresorptive drugs (Table 6) as risk factors for biological complications of dental implants.

5. Discussion

This review pools recent evidence on possible associations between peri-implant health issues in the oral cavity and systemic diseases. Articles on this topic revealed a marked heterogeneity as concerns the type of study conducted and the results obtained, but the evidence to support such an association was limited or inconsistent for most of the systemic conditions considered.

5.1. Diabetes

The role of diabetes in the onset of complications affecting osseo-integrated dental implants has been investigated much more than that of the other systemic diseases considered here, but contrasting findings have emerged. Judging from our analysis of the literature of the last six years, only one in three studies identified an association between diabetes and peri-implant disease. As for prediabetes, there was one report [58] of AGEs possibly having an important influence on peri-implant inflammation in prediabetic and diabetic patients.
No statistically significant differences came to light in most of the studies focusing exclusively on implant failure or survival [17,18,32,39,44,45,48]; and two of these studies [18,44] boasted a remarkably long follow-up (31 years in one, 9 in the other). On the other hand, three studies [33,35,40] did identify diabetes as a risk factor for implant failure. One was a retrospective study by French et al. [40], who examined 10,871 implants with a long-term follow-up (22 years). It is worth emphasizing that some studies assessed ‘implant failure’ without specifying the criteria used to define it, or whether failures occurred early or late. One of the main limitations of these studies probably lies in that they failed to consider issues such as bleeding and probing depth, which are essential to a diagnosis of peri-implant disease [83].
Of the studies that only examined peri-implant marginal bone loss in relation to diabetes, four [36,38,43,64] reported finding no statistically significant differences vis-à-vis non-diabetic patients, whereas the other four studies that considered this parameter [24,47,49,55] did find an association. When comparing diabetics with nondiabetics, it would be important to assess patients’ oral hygiene levels as well. For example, one limitation of the study by Al-Zahrani et al. [24] could lie in their having failed to conduct a logistic regression analysis on how many times a day patients brushed their teeth (nondiabetics: 29% once a day and 71% twice a day; diabetics 58% once a day and 42% twice a day). Abduljabbar et al. [55] also mentioned the importance of patients with chronic hyperglycemia monitoring their HbA1c levels in order to remain within a controlled range to prevent peri-implant damage. The primary outcome of a recent systematic review and meta-analysis [84] pointed to a statistically significant association between peri-implant marginal bone loss and diabetes mellitus.
Out of six studies [34,54,57] examining the risk of peri-implantitis developing in diabetic patients, three [23,35,37] established a diagnosis of peri-implantitis based on different criteria from those adopted by the International Workshop of 2017. This is because they had been conducted earlier, but it is nonetheless a limitation. Another limitation of several studies [35,54] may concern the authors’ failure to measure patients’ blood sugar levels during the follow-up. Only one [54] of the above-mentioned six studies identified an association between diabetes and peri-implantitis. These results contrast with the findings of another recent review [85], which found that people suffering from diabetes mellitus had a twofold risk of developing peri-implant disease.
An interesting finding emerged from a study by Al-Askar et al. [30], as follows: diabetic patients’ inflammatory cytokine levels were influenced by their glycemic status rather than by any peri-implantitis. Alshahrani et al. [31] and Al Zahrani et al. [26] also found osseointegration impaired, more severe peri-implantitis and more frequent implant failures in diabetic patients with poor glycemic control. The findings of the systematic review conducted by Naujokat et al. [14] were similar. Different results were reported in the studies conducted by Eskow and Oates et al. [20], and by Latimer et al. [22], who achieved high rates of dental implant success and survival in patients with diabetes Type II even when their glycemia was poorly controlled. The follow-up in these studies was rather short, however, being only one and two years, respectively.
An important result emerging from a study by Alqahtani et al. [62] lies in that the authors identified a state of chronic hyperglycemia as a stronger mediator of inflammation than cigarette smoking in patients with diabetes mellitus Type II. The systematic literature review and meta-analysis conducted by Monje et al. [86] reported a similar finding, i.e., among non-smokers, those with hyperglycemia had a 3.39-fold risk of developing peri-implantitis compared with individuals with normal blood sugar levels.
Three studies [25,51,63] found that immediately loaded dental implants were just as successful in diabetic patients as in healthy individuals, whereas another study [35] reported an association between immediate loading and a greater probing depth in diabetic patients. Recent systematic reviews and meta-analyses have likewise generated contrasting results [84,87] so it remains impossible to say for sure whether immediately-loaded dental implants are a safe option for diabetic patients.
Two in every three of the studies considered here identified similar rates of implant failure and biological complications in individuals with and without diabetes. The remainder (one in three studies) concluded for diabetes being a risk factor for implant failure, marginal bone loss or biological complications. The literature on the topic is very heterogeneous, partly due to different definitions of peri-implantitis and the use of different clinical indicators of this condition. Most investigators also concentrated on implant failure rather than on peri-implantitis. The results of the present review are similar to those obtained for diabetes in the systematic review conducted by Guobis et al. in 2016 [88].

5.2. Obesity

Our literature search revealed only one study (out of a total of six) that found no association between BMI and dental implant failure or late complications [71].
The results reported in three studies [61,68,69] are echoed in a recent meta-analysis [89], which confirmed that bleeding on dental probing was significantly worse in obese patients than in normal-weight individuals. Another study [70] showed that obese patients were at greater risk of localized inflammation involving peri-implant hard, as well as soft, tissues. A study by Vohra et al. [67] identified a significant correlation between serum C-reactive protein (CRP) levels and bleeding on probing, as well as probing depth, in obese patients. This might explain why such patients have worse peri-implant clinical values, though long-term controlled clinical trials would be needed to support these findings (obtained in a retrospective cross-sectional study). Analyzing blood levels of inflammatory molecules could help to identify a possible causal relationship between obesity and peri-implantitis. In cases of obesity, the adipocytes secrete pro-inflammatory cytokines such as TNF-α and IL-6, which stimulate the liver’s production of CRP, altering the hosts’ immune response, and increasing their susceptibility to bacterial infections [11].
Although the above-mentioned studies were consistent in establishing obesity as a risk factor for peri-implantitis, the literature on the topic is still scarce. Hopefully, future research will shed more light on the role of obesity in dental implant rehabilitation.

5.3. Cardiovascular Disease

Out of 13 studies selected for review, 11 did not identify cardiovascular disease as a risk factor for dental implant failure or implant-related complications.
Of the two studies that did, one was conducted by Krennmair et al. [21] on a sample of 37 patients: the Authors reported finding a greater bone loss in cases of mandibular full-arch restorations supported by four implants, albeit with a survival rate of 100%. In the other study, Neves et al. [37] found cardiovascular disease associated with a higher implant failure rate, but only hepatitis correlated with a higher risk of peri-implantitis. Their findings were consistent with those of a systematic review conducted by Turri et al. [90].
Given the paucity of research on the topic, it is still impossible to establish a clear link between cardiovascular disease and peri-implantitis. Since inflammation is a condition shared by both diseases, it is important to conduct further research on larger, better-controlled and more homogeneous samples of patients.

5.4. Hypertension

Only one study identified higher rates of implant failure in patients with hypertension [48], though the difference was only statistically significant for individuals who were also smokers. AbdulAzeez et al. [53] reported that, in the absence of an adequate monitoring of oral hygiene, systemic diseases had no impact on the severity of bleeding on probing or the probing depth. In fact, the healthy people in their sample revealed more severe inflammation in the oral cavity than patients suffering from diabetes or hypertension. This might be due to an anti-inflammatory effect of antihypertensive medication, which could improve PMN immune cell function [91].
The findings of our review are consistent with a meta-analysis conducted by Schimmel et al. [92], who concluded against hypertension negatively influencing dental implant survival.

5.5. Osteoporosis and the Use of Antiresorptive Drugs

Most of the studies examined here (n = 16) did not find lower success and survival rates for dental implants in patients with metabolic bone disease than in healthy patients. These results are consistent with the findings of a meta-analysis conducted by Dreyer et al., who found insufficient evidence to claim that osteoporosis is a risk factor for peri-implantitis [85].
As for the use of antiresorptive drugs, most of the studies reviewed did not identify them as risk factors for dental implant rehabilitation [41,46,73,74,75]. The only study that did find such an association [33], also reported 11 cases of implant failure caused by Medication-Related Osteonecrosis of the Jaw (MRONJ) due to sequestering occurring after the removal of an implant.
Some studies identified osteoporosis (n = 3) and the use of antiresorptive drugs (n = 1) as risk factors for implant success and survival, and for marginal bone loss. One such study by Saminsky et al. [38] concerned just two patients with osteoporosis, who were fitted with a total of nine implants, so this is hardly a representative sample. In another study, Temmerman et al. [81] reported a statistically significant difference in the implant survival rate, but this was due to one patient with osteoporosis requesting the removal of five implants one year after loading—all implants in excellent health in terms of the peri-implant tissues.
It is also important to mention that the study by Alsadi et al. [77] is practically identical to an article previously published by Toy and Uslu [79], as regards the materials and methods, and the results. It was consequently deemed a possible case of plagiarism, and therefore judged unreliable.
In short, the findings of our review concerning osteoporosis and antiresorptive drugs are in line with those of a previous systematic review and meta-analysis by Stavropoulos et al. [93].

6. Conclusions

The majority of the studies selected for our literature review covering the last six years consistently conclude against any association between the systemic diseases investigated and late complications in osseo-integrated dental implants. The only exception concerns obesity, which was confirmed as a risk factor in 5/6 studies, though further longitudinal studies with a long follow-up will be needed to confirm even this association. An analysis of the risks of implant complications involving SARS-CoV-2 infection would have made a further contribution from a clinical point of view. However, in agreement with a recent narrative review [94], data linked to peri-implantitis are still missing, and future clinical studies are needed.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/dj11010010/s1, Table S1. Twenty prospective studies retrieved from the electronic database search; Table S2. Thirty-two retrospective studies retrieved from the electronic database search; Table S3. Thirteen cross-sectional studies retrieved from the electronic database search; and Table S4. Five not specified studies retrieved from the electronic database search.

Author Contributions

Conceptualization, L.S. and C.B.; methodology, L.S. and E.B.; investigation, E.B.; writing—original draft preparation, E.B. and E.S.; writing—review and editing, C.B. and E.S.; All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Berglundh, T.; Armitage, G.; Araujo, M.G.; Avila-Ortiz, G.; Blanco, J.; Camargo, P.M.; Chen, S.; Cochran, D.; Derks, J.; Figuero, E.; et al. Peri-implant diseases and conditions: Consensus report of workgroup 4 of the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases and Conditions. J. Clin. Periodontol. 2018, 45 (Suppl. S20), S286–S291. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Lee, C.-T.; Huang, Y.-W.; Zhu, L.; Weltman, R. Prevalences of peri-implantitis and peri-implant mucositis: Systematic review and meta-analysis. J. Dent. 2017, 62, 1–12. [Google Scholar] [CrossRef]
  3. Luo, H.; Pan, W.; Sloan, F.; Feinglos, M.; Wu, B. Forty-Year Trends in Tooth Loss Among American Adults with and Without Diabetes Mellitus: An Age-Period-Cohort Analysis. Prev. Chronic Dis. 2015, 12, E211. [Google Scholar] [CrossRef] [Green Version]
  4. Elani, H.W.; Starr, J.R.; Da Silva, J.D.; Gallucci, G.O. Trends in Dental Implant Use in the U.S., 1999–2016, and Projections to 2026. J. Dent. Res. 2018, 97, 1424–1430. [Google Scholar] [CrossRef] [PubMed]
  5. Blanco, C.; Liñares, A.; Dopico, J.; Pico, A.; Sobrino, T.; Leira, Y.; Blanco, J. Peri-implantitis, systemic inflammation, and dyslipidemia: A cross-sectional biochemical study. J. Periodontal Implant Sci. 2021, 51, 342–351. [Google Scholar] [CrossRef] [PubMed]
  6. Froum, S.J.; Hengjeerajaras, P.; Liu, K.-Y.; Maketone, P.; Patel, V.; Shi, Y. The Link Between Periodontitis/Peri-implantitis and Cardiovascular Disease: A Systematic Literature Review. Int. J. Periodontics Restor. Dent. 2020, 40, e229–e233. [Google Scholar] [CrossRef]
  7. Suvan, J.; D’Aiuto, F.; Moles, D.; Petrie, A.; Donos, N. Association between overweight/obesity and periodontitis in adults. A systematic review. Obes. Rev. 2011, 12, e381–e404. [Google Scholar] [CrossRef]
  8. Khan, S.; Barrington, G.; Bettiol, S.; Barnett, T.; Crocombe, L. Is overweight/obesity a risk factor for periodontitis in young adults and adolescents?: A systematic review. Obes. Rev. 2018, 19, 852–883. [Google Scholar] [CrossRef]
  9. De Moura-Grec, P.G.; Marsicano, J.; De Carvalho, C.A.P.; Sales-Peres, S.H.D.C. Obesity and periodontitis: Systematic review and meta-analysis. Cienc. Saude Coletiva 2014, 19, 1763–1772. [Google Scholar] [CrossRef] [Green Version]
  10. da Silva, F.G.; Pola, N.M.; Casarin, M.; Muniz, F.W.M.G. Association between clinical measures of gingival inflammation and obesity in adults: Systematic review and meta-analyses. Clin. Oral Investig. 2021, 25, 4281–4298. [Google Scholar] [CrossRef]
  11. Nascimento, G.G.; Peres, K.G.; Mittinty, M.N.; Mejia, G.C.; Silva, D.A.S.; Gonzalez-Chica, D.; Peres, M.A. Obesity and Periodontal Outcomes: A Population-Based Cohort Study in Brazil. J. Periodontol. 2017, 88, 50–58. [Google Scholar] [CrossRef] [PubMed]
  12. Elangovan, S.; Brogden, K.A.; Dawson, D.V.; Blanchette, D.; Pagan-Rivera, K.; Stanford, C.M.; Johnson, G.K.; Recker, E.; Bowers, R.; Haynes, W.; et al. Body Fat Indices and Biomarkers of Inflammation: A Cross-Sectional Study with Implications for Obesity and Peri-implant Oral Health. Int. J. Oral Maxillofac. Implant. 2014, 29, 1429–1434. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Gurav, A.N. Periodontitis and Insulin Resistance: Casual or Causal Relationship? Diabetes Metab. J. 2012, 36, 404–411. [Google Scholar] [CrossRef] [PubMed]
  14. Naujokat, H.; Kunzendorf, B.; Wiltfang, J. Dental implants and diabetes mellitus—A systematic review. Int. J. Implant. Dent. 2016, 2, 5. [Google Scholar] [CrossRef] [Green Version]
  15. Cabrera-Domínguez, J.J.; Castellanos-Cosano, L.; Torres-Lagares, D.; Pérez-Fierro, M.; Machuca-Portillo, G. Clinical performance of titanium-zirconium implants with a hydrophilic surface in patients with controlled type 2 diabetes mellitus: 2-year results from a prospective case-control clinical study. Clin. Oral Investig. 2020, 24, 2477–2486. [Google Scholar] [CrossRef] [PubMed]
  16. Alasqah, M.N.; Alrabiah, M.; Al-Aali, K.A.; Mokeem, S.A.; Binmahfooz, A.M.; ArRejaie, A.S.; Abduljabbar, T. Peri-implant soft tissue status and crestal bone levels around adjacent implants placed in patients with and without type-2 diabetes mellitus: 6 years follow-up results. Clin. Implant Dent. Relat. Res. 2018, 20, 562–568. [Google Scholar] [CrossRef] [PubMed]
  17. Salih, H.M.; Al-Nimer, M.S.; Mohammed, N.B. Assessment of early and late implantation failure of teeth: A single-center experience with 297 implanted teeth. Arch. Venez. De Farmacol. Y Ter. 2021, 40, 340–343. [Google Scholar] [CrossRef]
  18. Carr, A.; Revuru, V.S.; Lohse, C.M. Association of Systemic Conditions with Dental Implant Failures in 6,384 Patients During a 31-Year Follow-up Period. Int. J. Oral Maxillofac. Implant. 2017, 32, 1153–1161. [Google Scholar] [CrossRef]
  19. Krennmair, S.; Hunger, S.; Forstner, T.; Malek, M.; Krennmair, G.; Stimmelmayr, M. Implant health and factors affecting peri-implant marginal bone alteration for implants placed in staged maxillary sinus augmentation: A 5-year prospective study. Clin. Implant Dent. Relat. Res. 2019, 21, 32–41. [Google Scholar] [CrossRef] [Green Version]
  20. Eskow, C.C.; Oates, T.W. Dental Implant Survival and Complication Rate over 2 Years for Individuals with Poorly Controlled Type 2 Diabetes Mellitus. Clin. Implant Dent. Relat. Res. 2017, 19, 423–431. [Google Scholar] [CrossRef]
  21. Krennmair, S.; Weinländer, M.; Forstner, T.; Krennmair, G.; Stimmelmayr, M. Factors affecting peri-implant bone resorption in four Implant supported mandibular full-arch restorations: A 3-year prospective study. J. Clin. Periodontol. 2016, 43, 92–101. [Google Scholar] [CrossRef] [PubMed]
  22. Latimer, J.M.; Roll, K.L.; Daubert, D.M.; Zhang, H.; Shalev, T.; Wolff, L.F.; Kotsakis, G.A. ABCD study collaborators Clinical performance of hydrophilic, titanium-zirconium dental implants in patients with well-controlled and poorly controlled type 2 diabetes: One-year results of a dual-center cohort study. J. Periodontol. 2021, 93, 745–757. [Google Scholar] [CrossRef] [PubMed]
  23. Nobre, M.D.A.; Maló, P. Prevalence of periodontitis, dental caries, and peri-implant pathology and their relation with systemic status and smoking habits: Results of an open-cohort study with 22009 patients in a private rehabilitation center. J. Dent. 2017, 67, 36–42. [Google Scholar] [CrossRef] [PubMed]
  24. AL Zahrani, S.; AL Mutairi, A.A. Stability and bone loss around submerged and non-submerged implants in diabetic and non-diabetic patients: A 7-year follow-up. Braz. Oral Res. 2018, 32, e57. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Juncar, R.-I.; Precup, A.-I.; Juncar, M. Immediate implant-prosthetic dental rehabilitation of patients with diabetes using four immediately loaded dental implants: A pilot study. J. Int. Med. Res. 2020, 48, 300060519897195. [Google Scholar] [CrossRef] [PubMed]
  26. Al Zahrani, S.; Al Mutairi, A.A. Crestal Bone Loss Around Submerged and Non-Submerged Dental Implants in Individuals with Type-2 Diabetes Mellitus: A 7-Year Prospective Clinical Study. Med. Princ. Pract. 2019, 28, 75–81. [Google Scholar] [CrossRef] [PubMed]
  27. Al-Shibani, N.; Al-Aali, K.A.; Al-Hamdan, R.S.; Alrabiah, M.; Basunbul, G.; Abduljabbar, T. Comparison of clinical peri-implant indices and crestal bone levels around narrow and regular diameter implants placed in diabetic and non-diabetic patients: A 3-year follow-up study. Clin. Implant Dent. Relat. Res. 2019, 21, 247–252. [Google Scholar] [CrossRef]
  28. Friedmann, A.; Winkler, M.; Diehl, D.; Yildiz, M.S.; Bilhan, H. One-year performance of posterior narrow diameter implants in hyperglycemic and normo-glycemic patients—A pilot study. Clin. Oral Investig. 2021, 25, 6707–6715. [Google Scholar] [CrossRef]
  29. Alsahhaf, A.; Alshiddi, I.F.; Alshagroud, R.S.; Al-Aali, K.A.; Vohra, F.; Abduljabbar, T. Clinical and radiographic indices around narrow diameter implants placed in different glycemic-level patients. Clin. Implant Dent. Relat. Res. 2019, 21, 621–626. [Google Scholar] [CrossRef]
  30. Al-Askar, M.; Ajlan, S.; Alomar, N.; Al-Daghri, N.M. Clinical and Radiographic Peri-Implant Parameters and Whole Salivary Interleukin-1β and Interleukin-6 Levels among Type-2 Diabetic and Nondiabetic Patients with and without Peri-Implantitis. Med. Princ. Pract. 2018, 27, 133–138. [Google Scholar] [CrossRef]
  31. Alshahrani, A.; Al Deeb, M.; Alresayes, S.; Mokeem, S.A.; Al-Hamoudi, N.; Alghamdi, O.; Vohra, F.; Abduljabbar, T. Comparison of peri-implant soft tissue and crestal bone status of dental implants placed in prediabetic, type 2 diabetic, and non-diabetic individuals: A retrospective cohort study. Int. J. Implant. Dent. 2020, 6, 56. [Google Scholar] [CrossRef] [PubMed]
  32. Mozzati, M.; Gallesio, G.; Menicucci, G.; Manzella, C.; Tumedei, M.; Del Fabbro, M. Dental Implants with a Calcium Ions-Modified Surface and Platelet Concentrates for the Rehabilitation of Medically Compromised Patients: A Retrospective Study with 5-Year Follow-Up. Materials 2021, 14, 2718. [Google Scholar] [CrossRef] [PubMed]
  33. Kim, J.; Choi, H.; Park, J.; Jung, H.; Jung, Y. Effects of anti-resorptive drugs on implant survival and peri-implantitis in patients with existing osseointegrated dental implants: A retrospective cohort study. Osteoporos. Int. 2020, 31, 1749–1758. [Google Scholar] [CrossRef] [PubMed]
  34. Alberti, A.; Morandi, P.; Zotti, B.; Tironi, F.; Francetti, L.; Taschieri, S.; Corbella, S. Influence of Diabetes on Implant Failure and Peri-Implant Diseases: A Retrospective Study. Dent. J. 2020, 8, 70. [Google Scholar] [CrossRef] [PubMed]
  35. Nobre, M.D.A.; Maló, P.; Gonçalves, Y.; Sabas, A.; Salvado, F.J. Dental implants in diabetic patients: Retrospective cohort study reporting on implant survival and risk indicators for excessive marginal bone loss at 5 years. J. Oral Rehabil. 2016, 43, 863–870. [Google Scholar] [CrossRef] [PubMed]
  36. Mameno, T.; Wada, M.; Otsuki, M.; Okuno, I.; Ozeki, K.; Tahara, A.; Ikebe, K. Risk indicators for marginal bone resorption around implants in function for at least 4 years: A retrospective longitudinal study. J. Periodontol. 2020, 91, 37–45. [Google Scholar] [CrossRef] [Green Version]
  37. Neves, J.; Nobre, M.D.A.; Oliveira, P.; Dos Santos, J.M.; Malo, P. Risk Factors for Implant Failure and Peri-Implant Pathology in Systemic Compromised Patients. J. Prosthodont. 2018, 27, 409–415. [Google Scholar] [CrossRef]
  38. Saminsky, M.; Ben Dor, A.; Horwitz, J. Variables Affecting Peri-Implant Radiographic Bone Loss-8-23 Years Follow-Up. Appl. Sci. 2020, 10, 8591. [Google Scholar] [CrossRef]
  39. Staedt, H.; Rossa, M.; Lehmann, K.M.; Al-Nawas, B.; Kämmerer, P.W.; Heimes, D. Potential risk factors for early and late dental implant failure: A retrospective clinical study on 9080 implants. Int. J. Implant Dent. 2020, 6, 81. [Google Scholar] [CrossRef]
  40. French, D.; Ofec, R.; Levin, L. Long term clinical performance of 10 871 dental implants with up to 22 years of follow-up: A cohort study in 4247 patients. Clin. Implant Dent. Relat. Res. 2021, 23, 289–297. [Google Scholar] [CrossRef]
  41. French, D.; Grandin, H.M.; Ofec, R. Retrospective cohort study of 4,591 dental implants: Analysis of risk indicators for bone loss and prevalence of peri-implant mucositis and peri-implantitis. J. Periodontol. 2019, 90, 691–700. [Google Scholar] [CrossRef] [Green Version]
  42. De Angelis, P.; Manicone, P.F.; Gasparini, G.; De Filippis, I.; Liguori, M.G.; De Angelis, S.; Cannata, F.; D’addona, A. The Effect of Controlled Diabetes and Hyperglycemia on Implant Placement with Simultaneous Horizontal Guided Bone Regeneration: A Clinical Retrospective Analysis. BioMed Res. Int. 2021, 2021, 9931505. [Google Scholar] [CrossRef] [PubMed]
  43. Ormianer, Z.; Block, J.; Matalon, S.; Kohen, J. The Effect of Moderately Controlled Type 2 Diabetes on Dental Implant Survival and Peri-implant Bone Loss: A Long-Term Retrospective Study. Int. J. Oral Maxillofac. Implant. 2018, 33, 389–394. [Google Scholar] [CrossRef] [Green Version]
  44. Hasanoglu Erbasar, G.N.; Hocaoğlu, T.P.; Erbasar, R.C. Risk factors associated with short dental implant success: A long-term retrospective evaluation of patients followed up for up to 9 years. Braz. Oral Res. 2019, 33, e030. [Google Scholar] [CrossRef] [PubMed]
  45. Sghaireen, M.G.; Alduraywish, A.A.; Srivastava, K.C.; Shrivastava, D.; Patil, S.R.; Al Habib, S.; Hamza, M.; Ab Rahman, S.; Lynch, E.; Alam, M.K. Comparative Evaluation of Dental Implant Failure among Healthy and Well-Controlled Diabetic Patients—A 3-Year Retrospective Study. Int. J. Environ. Res. Public Health 2020, 17, 5253. [Google Scholar] [CrossRef]
  46. Mayta-Tovalino, F.; Mendoza-Martiarena, Y.; Tapia, P.R.; Alvarez, M.A.; Gálvez-Calla, L.; Calderón-Sánchez, J.; Bolaños-Cardenas, R.; Diaz-Sarabia, A. An 11-Year Retrospective Research Study of the Predictive Factors of Peri-Implantitis and Implant Failure: Analytic-Multicentric Study of 1279 Implants in Peru. Int. J. Dent. 2019, 2019, 3527872. [Google Scholar] [CrossRef] [Green Version]
  47. Nguyen, T.T.H.; Eo, M.Y.; Cho, Y.J.; Myoung, H.; Kim, S.M. 7-mm-long dental implants: Retrospective clinical outcomes in medically compromised patients. J. Korean Assoc. Oral Maxillofac. Surg. 2019, 45, 260–266. [Google Scholar] [CrossRef] [Green Version]
  48. Parihar, A.S.; Singh, R.; Vaibhav, V.; Kumar, K.; Singh, R.; Jerry, J.J. A 10 years retrospective study of assessment of prevalence and risk factors of dental implants failures. J. Fam. Med. Prim. Care 2020, 9, 1617–1619. [Google Scholar] [CrossRef]
  49. Shetty, K.; Parihar, A.S.; Madhuri, S.; Devanna, R.; Sharma, G.; Singh, R. Assessment of failure rate of dental implants in medically compromised patients. J. Fam. Med. Prim. Care 2020, 9, 883–885. [Google Scholar] [CrossRef]
  50. Manor, Y.; Simon, R.; Haim, D.; Garfunkel, A.; Moses, O. Dental implants in medically complex patients—A retrospective study. Clin. Oral Investig. 2017, 21, 701–708. [Google Scholar] [CrossRef]
  51. Niedermaier, R.; Stelzle, F.; Riemann, M.; Bolz, W.; Schuh, P.; Wachtel, H. Implant-Supported Immediately Loaded Fixed Full-Arch Dentures: Evaluation of Implant Survival Rates in a Case Cohort of up to 7 Years. Clin. Implant Dent. Relat. Res. 2016, 19, 4–19. [Google Scholar] [CrossRef] [PubMed]
  52. Alrabiah, M.; Alrahlah, A.; Al-Hamdan, R.S.; Al-Aali, K.A.; Labban, N.; Abduljabbar, T. Survival of adjacent-dental-implants in prediabetic and systemically healthy subjects at 5-years follow-up. Clin. Implant Dent. Relat. Res. 2019, 21, 232–237. [Google Scholar] [CrossRef] [PubMed]
  53. AbdulAzeez, A.R.; Alkinani, A.A. The Crucial Role of Plaque Control in Peri-Implant Mucositis Initiation as Opposed to the Role of Systemic Health Condition: A Cross-Sectional Study. Clin. Cosmet. Investig. Dent. 2021, 13, 257–268. [Google Scholar] [CrossRef] [PubMed]
  54. Kissa, J.; El Kholti, W.; Chemlali, S.; Kawtari, H.; Laalou, Y.; Albandar, J.M. Prevalence and risk indicators of peri-implant diseases in a group of Moroccan patients. J. Periodontol. 2020, 92, 1096–1106. [Google Scholar] [CrossRef]
  55. Al-Sowygh, Z.H.; Ab Ghani, S.M.; Sergis, K.; Vohra, F.; Akram, Z. Peri-implant conditions and levels of advanced glycation end products among patients with different glycemic control. Clin. Implant Dent. Relat. Res. 2018, 20, 345–351. [Google Scholar] [CrossRef]
  56. Abduljabbar, T.; Javed, F.; Malignaggi, V.; Vohra, F.; Kellesarian, S. Influence of implant location in patients with and without type 2 diabetes mellitus: 2-year follow-up. Int. J. Oral Maxillofac. Surg. 2017, 46, 1188–1192. [Google Scholar] [CrossRef]
  57. Dalago, H.R.; Filho, G.S.; Rodrigues, M.A.P.; Renvert, S.; Bianchini, M.A. Risk indicators for Peri-implantitis. A cross-sectional study with 916 implants. Clin. Oral Implant. Res. 2017, 28, 144–150. [Google Scholar] [CrossRef]
  58. Alrabiah, M.; Al-Aali, K.A.; Al-Sowygh, Z.H.; Binmahfooz, A.M.; Mokeem, S.A.; Abduljabbar, T. Association of advanced glycation end products with peri-implant inflammation in prediabetes and type 2 diabetes mellitus patients. Clin. Implant Dent. Relat. Res. 2018, 20, 535–540. [Google Scholar] [CrossRef]
  59. Mokeem, S.; Alfadda, S.A.; Al-Shibani, N.; Alrabiah, M.; Al-Hamdan, R.S.; Vohra, F.; Abduljabbar, T. Clinical and radiographic peri-implant variables around short dental implants in type 2 diabetic, prediabetic, and non-diabetic patients. Clin. Implant Dent. Relat. Res. 2019, 21, 60–65. [Google Scholar] [CrossRef]
  60. Al Amri, M.D.; Aldosari, A.M.A.; Al-Johany, S.S.; Al Baker, A.M.; Al Rifaiy, M.Q.; Al-Kheraif, A.A. Comparison of clinical and radiographic status around immediately loaded versus conventional loaded implants placed in patients with type 2 diabetes: 12- and 24-month follow-up results. J. Oral Rehabil. 2017, 44, 220–228. [Google Scholar] [CrossRef]
  61. Alasqah, M.N.; Al-Shibani, N.; Al-Aali, K.A.; Qutub, O.A.; Abduljabbar, T.; Akram, Z. Clinical indices and local levels of inflammatory biomarkers in per-implant health of obese and nonobese individuals. Clin. Implant Dent. Relat. Res. 2018, 21, 80–84. [Google Scholar] [CrossRef] [PubMed]
  62. Alqahtani, F.; Alqhtani, N.; Alkhtani, F.; Divakar, D.D.; Al-Kheraif, A.A.; Javed, F. Clinicoradiographic markers of peri-implantitis in cigarette-smokers and never-smokers with type 2 diabetes mellitus at 7-years follow-up. J. Periodontol. 2020, 91, 1132–1138. [Google Scholar] [CrossRef] [PubMed]
  63. Al Amri, M.D.; Abduljabbar, T.S.; Al-Johany, S.S.; Al Rifaiy, M.Q.; Aldosari, A.M.A.; Al-Kheraif, A.A. Comparison of clinical and radiographic parameters around short (6 to 8 mm in length) and long (11 mm in length) dental implants placed in patients with and without type 2 diabetes mellitus: 3-year follow-up results. Clin. Oral Implant. Res. 2017, 28, 1182–1187. [Google Scholar] [CrossRef] [PubMed]
  64. Al Amri, M.D.; Abduljabbar, T.S. Comparison of clinical and radiographic status of platform-switched implants placed in patients with and without type 2 diabetes mellitus: A 24-month follow-up longitudinal study. Clin. Oral Implant. Res. 2017, 28, 226–230. [Google Scholar] [CrossRef] [PubMed]
  65. Al Amri, M.D.; Abduljabbar, T.S.; Al-Kheraif, A.A.; Romanos, G.E.; Javed, F. Comparison of clinical and radiographic status around dental implants placed in patients with and without prediabetes: 1-year follow-up outcomes. Clin. Oral Implant. Res. 2017, 28, 231–235. [Google Scholar] [CrossRef]
  66. Abduljabbar, T.; Al-Sahaly, F.; Al-Kathami, M.; Afzal, S.; Vohra, F. Comparison of periodontal and peri-implant inflammatory parameters among patients with prediabetes, type 2 diabetes mellitus and non-diabetic controls. Acta Odontol. Scand. 2017, 75, 319–324. [Google Scholar] [CrossRef]
  67. Vohra, F.; Alkhudhairy, F.; Al-Kheraif, A.A.; Akram, Z.; Javed, F. Peri-implant parameters and C-reactive protein levels among patients with different obesity levels. Clin. Implant Dent. Relat. Res. 2018, 20, 130–136. [Google Scholar] [CrossRef]
  68. Abduljabbar, T.; Al-Sahaly, F.; Kellesarian, S.V.; Kellesarian, T.V.; Al-Anazi, M.; Al-Khathami, M.; Javed, F.; Vohra, F. Comparison of peri-implant clinical and radiographic inflammatory parameters and whole salivary destructive inflammatory cytokine profile among obese and non-obese men. Cytokine 2016, 88, 51–56. [Google Scholar] [CrossRef]
  69. Alshiddi, I.F.; Alsahhaf, A.; Alshagroud, R.S.; Al-Aali, K.A.; Vohra, F.; Abduljabbar, T. Clinical, radiographic, and restorative peri-implant measurements of narrow and standard diameter implants in obese and nonobese patients: A 3-year retrospective follow-up study. Clin. Implant Dent. Relat. Res. 2019, 21, 656–661. [Google Scholar] [CrossRef]
  70. Alkhudhairy, F.; Vohra, F.; Al-Kheraif, A.A.; Akram, Z. Comparison of clinical and radiographic peri-implant parameters among obese and non-obese patients: A 5-year study. Clin. Implant Dent. Relat. Res. 2018, 20, 756–762. [Google Scholar] [CrossRef]
  71. Hazem, A.; Bissada, N.; Demko, C.; Paes, A.; Lang, L. Comparison of Preprosthetic Implant Complications and Failures Between Obese and Nonobese Patients. Int. J. Oral Maxillofac. Implant. 2016, 31, 1093–1099. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Wang, I.; Ou, A.; Johnston, J.; Giannobile, W.V.; Yang, B.; Fenno, J.C.; Wang, H. Association between peri-implantitis and cardiovascular diseases: A case-control study. J. Periodontol. 2022, 93, 633–643. [Google Scholar] [CrossRef] [PubMed]
  73. Tallarico, M.; Canullo, L.; Xhanari, E.; Meloni, S.M. Dental implants treatment outcomes in patient under active therapy with alendronate: 3-year follow-up results of a multicenter prospective observational study. Clin. Oral Implant. Res. 2016, 27, 943–949. [Google Scholar] [CrossRef] [PubMed]
  74. Khoury, F.; Hidajat, H. Extensive Autogenous Bone Augmentation and Implantation in Patients Under Bisphosphonate Treatment: A 15-Case Series. Int. J. Periodontics Restor. Dent. 2016, 36, 9–18. [Google Scholar] [CrossRef] [Green Version]
  75. Suvarna, S.; Dutt, P.; Misra, A.; Usmani, N.; Suvarna, C. Intricate Assessment and Evaluation of Dental Implants in Patients on Bisphosphonate Therapy: A Retrospective Analysis. J. Contemp. Dent. Pract. 2016, 17, 414–417. [Google Scholar] [CrossRef]
  76. Corcuera-Flores, J.R.; Alonso-Domínguez, A.M.; Serrera-Figallo, M.; Torres-Lagares, D.; Castellanos-Cosano, L.; Machuca-Portillo, G. Relationship Between Osteoporosis and Marginal Bone Loss in Osseointegrated Implants: A 2-Year Retrospective Study. J. Periodontol. 2016, 87, 14–20. [Google Scholar] [CrossRef] [Green Version]
  77. Alsadi, W.; AbouSulaiman, A.; AlSabbagh, M.M. Retrospective Study of Dental Implants Survival Rate in Postmenopausal Women with Osteoporosis. Int. J. Dent. Oral Sci. 2021, 8, 4259. [Google Scholar] [CrossRef]
  78. Alsadi, W.; AbouSulaiman, A.; AlSabbagh, M.M. Association of dental implants success in bone density classification of postmenopausal women with osteoporosis—A clinical and radiographic prospective study. J. Indian Acad. Oral Med. Radiol. 2021, 33, 428. [Google Scholar] [CrossRef]
  79. Toy, V.; Uslu, M. Evaluation of long-term dental implant success and marginal bone loss in postmenopausal women. Niger. J. Clin. Pract. 2020, 23, 147–153. [Google Scholar]
  80. Chow, L.; Chow, T.W.; Chai, J.; Mattheos, N. Bone stability around implants in elderly patients with reduced bone mineral density—A prospective study on mandibular overdentures. Clin. Oral Implant. Res. 2017, 28, 966–973. [Google Scholar] [CrossRef]
  81. Temmerman, A.; Rasmusson, L.; Kübler, A.; Thor, A.; Merheb, J.; Quirynen, M. A Prospective, Controlled, Multicenter Study to Evaluate the Clinical Outcome of Implant Treatment in Women with Osteoporosis/Osteopenia: 5-Year Results. J. Dent. Res. 2018, 98, 84–90. [Google Scholar] [CrossRef] [PubMed]
  82. Temmerman, A.; Rasmusson, L.; Kübler, A.; Thor, A.; Quirynen, M. An open, prospective, non-randomized, controlled, multicentre study to evaluate the clinical outcome of implant treatment in women over 60 years of age with osteoporosis/osteopenia: 1-year results. Clin. Oral Implant. Res. 2017, 28, 95–102. [Google Scholar] [CrossRef] [PubMed]
  83. Heitz-Mayfield, L.J.; Aaboe, M.; Araujo, M.; Carrión, J.B.; Cavalcanti, R.; Cionca, N.; Cochran, D.; Darby, I.; Funakoshi, E.; Gierthmuehlen, P.C.; et al. Group 4 ITI Consensus Report: Risks and biologic complications associated with implant dentistry. Clin. Oral Implant. Res. 2018, 29 (Suppl. S16), 351–358. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Jiang, X.; Zhu, Y.; Liu, Z.; Tian, Z.; Zhu, S. Association between diabetes and dental implant complications: A systematic review and meta-analysis. Acta Odontol. Scand. 2021, 79, 9–18. [Google Scholar] [CrossRef]
  85. Dreyer, H.; Grischke, J.; Tiede, C.; Eberhard, J.; Schweitzer, A.; Toikkanen, S.E.; Glöckner, S.; Krause, G.; Stiesch, M. Epidemiology and risk factors of peri-implantitis: A systematic review. J. Periodontal Res. 2018, 53, 657–681. [Google Scholar] [CrossRef]
  86. Monje, A.; Catena, A.; Borgnakke, W.S. Association between diabetes mellitus/hyperglycaemia and peri-implant diseases: Systematic review and meta-analysis. J. Clin. Periodontol. 2017, 44, 636–648. [Google Scholar] [CrossRef]
  87. Andrade, C.A.S.; Paz, J.L.C.; de Melo, G.S.; Mahrouseh, N.; Januário, A.L.; Capeletti, L.R. Survival rate and peri-implant evaluation of immediately loaded dental implants in individuals with type 2 diabetes mellitus: A systematic review and meta-analysis. Clin. Oral Investig. 2022, 26, 1797–1810. [Google Scholar] [CrossRef]
  88. Guobis, Z.; Pacauskienė, I.; Astramskaite, I. General Diseases Influence on Peri-Implantitis Development: A Systematic Review. J. Oral Maxillofac. Res. 2016, 7, e5. [Google Scholar] [CrossRef]
  89. Monteiro, J.; Pellizzer, E.; Lemos, C.A.; de Moraes, S.; Vasconcelos, B.D.E. Is there an association between overweight/obesity and dental implant complications? A systematic review and meta-analysis. Int. J. Oral Maxillofac. Surg. 2019, 48, 1241–1249. [Google Scholar] [CrossRef]
  90. Turri, A.; Rossetti, P.; Canullo, L.; Grusovin, M.; Dahlin, C. Prevalence of Peri-implantitis in Medically Compromised Patients and Smokers: A Systematic Review. Int. J. Oral Maxillofac. Implant. 2016, 31, 111–118. [Google Scholar] [CrossRef] [Green Version]
  91. Nemati, F.; Rahbar-Roshandel, N.; Hosseini, F.; Mahmoudian, M.; Shafiei, M. Anti-Inflammatory Effects of Anti-Hypertensive Agents: Influence on Interleukin-1β Secretion by Peripheral Blood Polymorphonuclear Leukocytes from Patients with Essential Hypertension. Clin. Exp. Hypertens. 2011, 33, 66–76. [Google Scholar] [CrossRef] [PubMed]
  92. Schimmel, M.; Srinivasan, M.; McKenna, G.; Müller, F. Effect of advanced age and/or systemic medical conditions on dental implant survival: A systematic review and meta-analysis. Clin. Oral Implant. Res. 2018, 29, 311–330. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Stavropoulos, A.; Bertl, K.; Pietschmann, P.; Pandis, N.; Schiødt, M.; Klinge, B. The effect of antiresorptive drugs on implant therapy: Systematic review and meta-analysis. Clin. Oral Implant. Res. 2018, 29 (Suppl. S18), 54–92. [Google Scholar] [CrossRef] [PubMed]
  94. Mancini, L.; Americo, L.M.; Pizzolante, T.; Donati, R.; Marchetti, E. Impact of COVID-19 on Periodontitis and Peri-Implantitis: A Narrative Review. Front. Oral Health 2022, 3, 822824. [Google Scholar] [CrossRef]
Figure 1. Flowchart of the decision-making process for the selection of the articles eligible for review.
Figure 1. Flowchart of the decision-making process for the selection of the articles eligible for review.
Dentistry 11 00010 g001
Table 1. Articles grouped by findings concerning diabetes as a risk factor for biological complications of dental implants.
Table 1. Articles grouped by findings concerning diabetes as a risk factor for biological complications of dental implants.
DiabetesFrequencies% of the Total
Higher risk1733.3 %
Risk unchanged3364.7 %
Lower risk12.0 %
Table 2. Articles grouped by findings concerning obesity as a risk factor for biological complications of dental implants.
Table 2. Articles grouped by findings concerning obesity as a risk factor for biological complications of dental implants.
ObesityFrequencies% of the Total
Higher risk583.3 %
Risk unchanged116.7 %
Table 3. Articles grouped by findings concerning cardiovascular disease (CVD) as a risk factor for biological complications of dental implants.
Table 3. Articles grouped by findings concerning cardiovascular disease (CVD) as a risk factor for biological complications of dental implants.
CVDFrequencies% of the Total
Higher risk215.4 %
Risk unchanged1184.6 %
Table 4. Articles grouped by findings concerning hypertension as a risk factor for biological complications of dental implants.
Table 4. Articles grouped by findings concerning hypertension as a risk factor for biological complications of dental implants.
HypertensionFrequencies% of the Total
Higher risk114.3 %
Risk unchanged571.4 %
Lower risk114.3 %
Table 5. Articles grouped by findings concerning osteoporosis as a risk factor for biological complications of dental implants.
Table 5. Articles grouped by findings concerning osteoporosis as a risk factor for biological complications of dental implants.
OsteoporosisFrequencies% of the Total
Higher risk321.4 %
Risk unchanged1178.6 %
Table 6. Articles grouped by findings concerning the use of antiresorptive drugs as a risk factor for biological complications of dental implants.
Table 6. Articles grouped by findings concerning the use of antiresorptive drugs as a risk factor for biological complications of dental implants.
Antiresorptive DrugsFrequencies% of the total
Higher risk116.7 %
Risk unchanged583.3 %
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Sbricoli, L.; Bazzi, E.; Stellini, E.; Bacci, C. Systemic Diseases and Biological Dental Implant Complications: A Narrative Review. Dent. J. 2023, 11, 10. https://doi.org/10.3390/dj11010010

AMA Style

Sbricoli L, Bazzi E, Stellini E, Bacci C. Systemic Diseases and Biological Dental Implant Complications: A Narrative Review. Dentistry Journal. 2023; 11(1):10. https://doi.org/10.3390/dj11010010

Chicago/Turabian Style

Sbricoli, Luca, Elissar Bazzi, Edoardo Stellini, and Christian Bacci. 2023. "Systemic Diseases and Biological Dental Implant Complications: A Narrative Review" Dentistry Journal 11, no. 1: 10. https://doi.org/10.3390/dj11010010

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