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Current Oncology
  • Systematic Review
  • Open Access

30 June 2025

Impact of Oncological Treatment on Quality of Life in Patients with Head and Neck Malignancies: A Systematic Literature Review (2020–2025)

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1
Department 12-Otorhynolaryngology, Ophthalmology, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania
2
Otorhinolaryngology Department, “Colțea” Clinical Hospital, 030171 Bucharest, Romania
3
Otorhinolaryngology Department, “Dr. Carol Davila” Central Military Emergency University Hospital, 010825 Bucharest, Romania
*
Author to whom correspondence should be addressed.
This article belongs to the Section Head and Neck Oncology

Simple Summary

Head and neck cancers, affecting areas like the mouth, throat, and voice box, are treated with surgery, radiation, or chemotherapy; however, these treatments can reduce quality of life by impacting speech, swallowing, and emotional well-being. This review shows that while treatments help control cancer, they often cause temporary declines in daily functions, with recovery depending on rehabilitation like swallowing exercises or nutritional support. Factors such as cancer stage, income, and mental health affect recovery. Newer, gentler treatments and early rehabilitation improve outcomes, especially for certain patients. However, studies often have limitations like small sample sizes, making results less certain. Personalized treatment plans, combining medical care with support for nutrition and mental health, are crucial for improving patients’ lives. Future research should use consistent methods to better understand long-term effects and tailor treatments to individual needs.

Abstract

Background: Quality of life (QoL) is a critical indicator in assessing the success of oncological treatments for head and neck malignancies, reflecting their impact on physiological functions and psychosocial well-being beyond mere survival. Treatments (surgery, radiotherapy, chemotherapy) pose multiple functional and emotional challenges, and recent advancements underscore the necessity of evaluating post-treatment QoL. Objective: This literature review investigates the impact of oncological treatment on the QoL of patients with malignant head and neck cancers (oral, oropharyngeal, hypopharyngeal, laryngeal) and identifies factors influencing their QoL index. Methodology: Using a PICO framework, studies from PubMed Central were analyzed, selected based on inclusion (English publications, full text, PROM results) and exclusion criteria. The last research was conducted on 6 April 2025. From 231 identified studies, 49 were included after applying filters (MeSH: “Quality of Life,” “laryngeal cancer,” “oral cavity cancer,” etc.). Data were organized in Excel, and the methodology adhered to PRISMA standards. Results: Treatment Impact: Oncological treatments significantly affect QoL, with acute post-treatment declines in functions such as speech, swallowing, and emotional well-being (anxiety, depression). Partial recovery depends on rehabilitative interventions. Influencing Factors: Treatment type, disease stage, socioeconomic, and demographic contexts influence QoL. De-escalated treatments and prompt rehabilitation improve recovery, while complications like trismus, dysphagia, or persistent hearing issues reduce long-term QoL. Assessment Tools: Standardized PROM questionnaires (EORTC QLQ-C30, QLQ-H&N35, MDADI, HADS) highlighted QoL variations. Studies from Europe, North America, and Asia indicate regional differences in outcomes. Limitations: Retrospective designs, small sample sizes, and PROM variability limit generalizability. Multicentric studies with extended follow-up are recommended. Conclusions: Oncological treatments for head and neck malignancies have a complex impact on QoL, necessitating personalized and multidisciplinary strategies. De-escalated therapies, early rehabilitation, and continuous monitoring are essential for optimizing functional and psychosocial outcomes. Methodological gaps highlight the need for standardized research.

1. Introduction

QoL is a critical indicator in assessing the success of oncological treatments, providing insights into their impact beyond mere survival. In the context of malignant head and neck neoplasms, challenges are multifaceted, with treatment effects—whether surgical, radiotherapy, chemotherapy, or combinations thereof—extending to patients’ physiological and psychosocial domains. Recent advancements in oncology have improved survival rates and heightened expectations for comprehensive functional and emotional recovery, making post-treatment QoL evaluation indispensable.
This literature review aims to synthesize data published over the past five years on the impact of oncological treatments on QoL in patients with malignant head and neck neoplasms. Utilizing a PICO framework—focusing on diagnosed patients, specific interventions (surgery, radiotherapy, chemotherapy), comparison of therapeutic strategies, and outcome evaluation through validated Patient-Reported Outcome Measures (PROMs)—the study seeks to identify factors directly or indirectly influencing QoL indices.
The methodology involved a rigorous selection of studies from PubMed Central, applying clear inclusion criteria (English-language publications, full-text availability, and PROM-based outcomes) and exclusion criteria to ensure a relevant and high-quality synthesis. By analyzing 49 studies, this review aims to provide a comprehensive overview of key findings in the field while highlighting knowledge gaps requiring future research. The results are expected to inform the development of more effective management and rehabilitation strategies tailored to the specific needs of head and neck oncology patients.
Initial findings from the analyzed studies indicate that oncological treatments for head and neck malignancies significantly impact physiological functions and psychosocial well-being. Standardized assessment tools reveal an acute decline in QoL in the immediate post-treatment period, manifested through speech and swallowing difficulties, dysphonia, and increased symptoms of anxiety and depression. Subsequent recovery trends, contingent on applied rehabilitative interventions, suggest partial improvement; however, the absence or delay of rehabilitation strategies may lead to persistent complications that negatively affect patients’ overall well-being.
Another key discussion in the literature pertains to significant outcome variations influenced by factors such as treatment type, disease stage, and the demographic and socioeconomic context of the studied populations. Studies from different regions (Europe, North America, Asia) demonstrate that patients receiving de-escalated treatments or prompt rehabilitation programs recover more rapidly to pre-treatment QoL levels compared to those without such interventions. Persistent adverse effects, such as trismus, dysphagia, or hearing impairments, remain critical factors contributing to long-term QoL deterioration, underscoring the need for continuous monitoring and personalized interventions.
Methodological discussions highlight limitations inherent in various studies, including retrospective designs, small sample sizes, and variability in PROM questionnaire application. These issues raise concerns about generalizability and uniform result interpretation, emphasizing the need for multicenter studies with extended follow-up and standardized methodological criteria. Consequently, the development of integrated evaluation frameworks is essential to enable a holistic synthesis of treatment effects on QoL, ultimately contributing to the optimization of therapeutic strategies and enhanced post-treatment management in head and neck oncology.
Objective: This literature review was conducted to investigate the research question: What is the impact of oncological treatment on the QoL of cancer patients diagnosed with malignant head and neck neoplasms, and what factors influence their QoL index? The review focused on studies involving the most common head and neck cancers: oral cavity and lip cancer, oropharyngeal cancer, hypopharyngeal cancer, and laryngeal cancer.

2. Materials and Methods

The methods used for data collection, outcome definitions, variable extraction, risk of bias assessment, and result synthesis are described below.

2.1. Data Collection Methods

The literature search was conducted using PubMed Central, targeting studies published between 1 January 2020 and 6 April 2025, involving human subjects. The search strategy employed Medical Subject Headings (MeSH) terms and keywords: “Quality of life” [MeSH] OR “Health-related Quality of Life” OR “QoL” AND “laryngeal cancer” OR “lip cancer” OR “oral cavity cancer” OR “oropharyngeal cancer” OR “hypopharyngeal cancer”. No automation tools were used in the search process.
Two reviewers independently screened titles and abstracts to identify eligible studies. Disagreements were resolved through discussion to reach a consensus. Full-text articles were retrieved for studies meeting initial inclusion criteria. Data extraction was performed collaboratively by the two reviewers, with each report independently assessed to ensure accuracy. No direct contact was made with study investigators to obtain or confirm data.

2.2. Inclusion and Exclusion Criteria

Studies were included if they met the following criteria: (1) were published in English; (2) had full-text availability; (3) focused on the specified head and neck cancers; and (4) used PROMs to assess Health-related QoL (HrQoL). Exclusion criteria included studies that did not use PROMs, were not published in English, or lacked full-text access. Initially, 231 studies were identified. After screening titles and abstracts, 106 studies were excluded (30 on laryngeal cancer, 15 on oral cavity and lip cancer, 48 on oropharyngeal cancer, and 13 on hypopharyngeal cancer) for not meeting PROM-based criteria. Following full-text review, 76 additional studies were excluded, resulting in 49 studies included for analysis.

2.3. Outcomes and Variables

The primary outcome was HrQoL as measured by PROMs, including all validated instruments (e.g., EORTC QLQ-C30, QLQ-H&N35, FACT-H&N) across all reported time points and analyses. Secondary outcomes included factors influencing QoL, such as physical functioning, psychological well-being, social functioning, and symptom burden (e.g., pain, swallowing difficulties). All results compatible with these outcome domains were sought from each study.
Additional variables extracted included:
Participant characteristics: Age, sex, cancer stage, and comorbidities.
Intervention characteristics: Type of oncological treatment (surgery, radiotherapy, chemotherapy, or combined modalities).
Study characteristics: Study design, sample size, and funding sources.
Missing or unclear information (e.g., unspecified PROM versions or incomplete participant demographics) was noted, and assumptions were made that missing data did not significantly alter the study’s findings unless stated otherwise.

2.4. Risk of Bias Assessment

The risk of bias in included studies was assessed using the Newcastle–Ottawa Scale (NOS) for observational studies and the Cochrane Risk of Bias Tool for randomized controlled trials, where applicable. Two reviewers independently evaluated each study, with disagreements resolved through discussion. No automation tools were used in this process.

2.5. Data Synthesis and Presentation

Data were synthesized narratively, focusing on thematic analysis of HrQoL outcomes and influencing factors. No meta-analysis was performed due to the heterogeneity of PROM instruments, study designs, and reported outcomes. Results were tabulated to summarize study characteristics, PROMs used, QoL outcomes, and influencing factors. Visual displays, such as tables, were used to present individual study findings and synthesized results.

2.6. Effect Measures

For studies reporting quantitative HrQoL outcomes, effect measures included mean differences in PROM scores (e.g., baseline vs. post-treatment) or standardized mean differences when different PROMs were used. Qualitative findings were summarized descriptively to identify common themes (e.g., impact of treatment type on QoL).

2.7. Eligibility for Synthesis

Studies were grouped for synthesis based on cancer type (oral cavity/lip, oropharyngeal, hypopharyngeal, laryngeal) and treatment modality. Eligibility for synthesis was determined by tabulating study characteristics and ensuring alignment with the review’s focus on PROM-based HrQoL outcomes.

2.8. Handling Missing Data

Missing summary statistics (e.g., standard deviations for PROM scores) were noted, and where possible, data were imputed using standard methods (e.g., assuming symmetry in reported ranges). No data conversions were required.

2.9. Heterogeneity and Sensitivity Analyses

Heterogeneity in study results was explored narratively by comparing study populations, treatment modalities, and PROM instruments. No formal subgroup analysis or meta-regression was conducted due to the narrative approach. Sensitivity analyses were not performed, as the synthesis was qualitative.

2.10. Risk of Bias Due to Missing Results

To assess potential reporting biases, we examined whether studies reported all expected PROM outcomes and noted any selective reporting. Funnel plots or formal statistical tests for publication bias were not used due to the narrative synthesis.

2.11. Certainty of Evidence

The certainty of evidence for HrQoL outcomes was assessed using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach, considering risk of bias, inconsistency, imprecision, and indirectness. The overall certainty was summarized narratively for each outcome.
The methodology is illustrated in the accompanying flowchart and adapted PRISMA diagram (Figure 1). Data were organized using Microsoft Excel. Mendeley software version 1.19.4 was used for identifying duplicates and organizing References.
Figure 1. Identification of studies via databases and registers: PRISMA 2020 flow diagram [1].

3. Results

Table 1 lists the main types of studies included in this review: 14 cross-sectional observational studies, 1 case series, 1 completed clinical trial with available PROM, 1 national study, 18 prospective studies, 8 randomized controlled trials, 4 retrospective studies, 1 sub-study of a randomized trial with available PROMs, and 1 survey study.
Table 1. Study type and number of patients.
Regarding sample size, the number of patients included in the studies ranged from a minimum of 3 to a maximum of 2171, as shown in Table 1. The mean patient age was 60.7 years, with a male predominance of 79.65%. Demographic distribution was not available in all studies.
Treatment types, as summarized in Table 2, included various approaches, with or without rehabilitation measures.
Table 2. Summary of treatment modalities for head and neck cancers.
QoL assessment for patients with head and neck neoplasms was conducted using standardized instruments, with the main accredited questionnaires listed in Table 3.
Table 3. PROM INSTRUMENT—number of studies.

3.1. Main Results of the Studies

QoL Outcomes: The impact of head and neck cancer (HNC) treatments on HrQoL is a recurring theme across multiple studies. A 2021 UK study with three patients reported that salvage robotic-assisted resection with free flap reconstruction achieved complete lesion clearance and good QoL outcomes, despite one patient developing a tracheocutaneous fistula (Williamson A et al., 2021) [2]. Similarly, a 2022 US study involving 79 patients with HPV-positive oropharyngeal cancer found that de-escalated adjuvant chemoradiation resulted in low long-term toxic effects, with QoL returning to baseline levels and no long-term feeding tube dependence (Price K et al., 2022) [3]. However, challenges persist, as a 2023 US study of 880 patients noted that 64.4% experienced hearing loss and tinnitus, significantly associated with worse HrQoL (Aggarwal P et al., 2023) [4]. A 2022 Denmark and Sweden study with 172 patients reported that 46% had moderate/severe dysphagia, 57% had voice problems, and psychological distress (HADS score ≥ 15) and frailty (G8 score < 15) were linked to poorer QoL (Wulff NB et al., 2022) [5]. In Taiwan, a 2024 study of 461 patients found that higher EORTC QLQ-HN35 scores were associated with increased risks of incomplete chemoradiation, emergency visits, hospitalizations, and toxicities, while lower scores correlated with better overall survival (OS) and disease-free survival (DFS) (Hung CY, 2024) [6]. HPV-positive patients exhibited better pre-treatment QoL but greater deterioration during treatment, with faster recovery compared to HPV-negative patients (Korsten LHA et al., 2021) [7]. Treatment type also influenced outcomes, with surgery plus RT causing worse QoL scores than surgery alone, though many returned to baseline after three months (Goiato MC et al., 2020) [8].
Swallowing and Voice Function: Swallowing and voice impairments significantly affect HNC patients’ QoL. A 2021 Ethiopian study of 102 patients reported a mean MDADI score of 53.29, indicating impaired swallowing-related QoL, particularly in female patients, those with low income, advanced tumor stage, or laryngeal cancer (Yifru TA et al., 2021) [9]. In Spain, a 2022 study with 21 patients found that 100% of patients had swallowing efficacy impairments, 85.5% had safety impairments, and 78% showed voice changes with altered CAPE-V attributes, leading to reduced QoL (Alvarez-Marcos C et al., 2022) [10]. A 2023 Danish study of 44 patients noted significant swallowing function improvements from 1 to 3 years post-treatment, with TORS patients showing better safety scores and QoL compared to RT patients, who experienced persistent QoL decline (Scott SI et al., 2023) [11]. In China, a 2024 study of 21 patients reported good swallowing (mean MDADI score 92.67) and voice (mean VHI-10 score 7.14) recovery post-laryngeal cancer treatment (Liu T et al., 2024) [12]. Tracheoesophageal voice prostheses improved socio-emotional and functional outcomes compared to esophageal speech, though fistula complications negatively impacted QoL (Cocuzza S et al., 2020) [13]. The EP-SHI and HoCoS tools were validated for assessing speech-related QoL and communication impairments, showing strong reliability and validity (Guimaraes I et al., 2021; Balaguer M et al., 2023) [14,15].
Psychological Distress and Nutritional Impact: Psychological distress and nutritional challenges are critical determinants of QoL in HNC patients. A 2022 Canadian study of 146 patients found that HPV-negative patients had higher anxiety and depression at diagnosis, while HPV-positive patients showed increased vulnerability post-treatment, with major depressive disorder significantly impacting QoL (Henry M et al., 2022) [16]. A 2023 US study of 115 patients reported that anxiety and depression were inversely correlated with all QoL domains, with younger age, higher income, and early-stage cancer linked to better physical functioning (Andersen LP et al., 2023) [17]. In Finland, a 2024 study of 203 patients noted higher depression rates and lower socioeconomic status in HNC patients compared to the general population, though psychosocial factors did not influence patient delay (Atula M, 2024) [18]. Nutritional supplements reduced malnutrition (40.2% prevalence) and supported QoL recovery in a 2021 Indian study of 97 patients (Pingili S et al., 2021) [19]. A 2023 Thai study of 72 patients found that Nutri-PEITC Jelly intake improved HrQoL and progression-free survival (PFS) without serious adverse events (Lam-Ubol A et al., 2023) [20].
Oncological and Functional Outcomes: Oncological and functional outcomes vary by treatment and patient characteristics. A 2022 French study of 53 patients reported preoperative, 1-year, and 2-year MDADI scores of 71.4, 64.3, and 57.5, respectively, with 97.1% decannulation and 59% two-year OS (D’Andréa G et al., 2022) [21]. In China, a 2023 study of 64 patients reported three-year OS of 60.7%, five-year OS of 47.3%, and 78.1% satisfactory swallowing function, while a 2022 study of 122 patients noted five-year OS and DFS of 40.0% and 36.1%, respectively, with local–regional recurrence and distant metastasis impacting survival (Li WX et al., 2022, 2023) [22]. A 2023 UK and Ireland study of 112 patients found that dysphagia-optimized IMRT (DO-IMRT) improved MDADI scores (77.7 vs. 70.6) compared to standard IMRT, with lower radiation doses to pharyngeal constrictors (Nutting C et al., 2023) [23]. Trismus, reported by 31% of 892 US patients, was associated with increased dysphagia and feeding tube dependence, though jaw stretching exercises reduced prevalence (Cardoso RC et al., 2021) [24]. Sentinel lymph node biopsy (SLNB) offered better short-term shoulder function compared to elective neck dissection (END) (van Hinte G et al., 2021) [25]. A 2021 US study of 80 patients highlighted that extensive tongue resection was strongly linked to poor QoL outcomes (Jimenez JE et al., 2021) [26].
The main results are compiled in Table 4.
Table 4. Main result of the studies.

3.2. Main Conclusions of the Studies

QoL Outcomes: Numerous studies underscore the profound impact of HNC treatments on HrQoL. A 2021 study from the UK reported that oropharyngeal squamous cell carcinoma (OPSCC) patients undergoing ORS-assisted resection with radial forearm free flap (RFFF) reconstruction achieved good oncological and QoL outcomes, despite postoperative complications (Williamson A et al., 2021) [2]. Similarly, a 2022 US study on de-escalated adjuvant therapy for oropharyngeal cancer demonstrated excellent swallow outcomes and preserved QoL with reduced long-term toxic effects (Price K et al., 2022) [3]. However, persistent impairments were noted, with a 2022 study from Denmark and Sweden reporting that voice problems, dysphagia, depression, and anxiety were independently associated with lower HrQoL in hypopharyngeal and laryngeal cancer patients (Wulff NB et al., 2022) [5]. In a 2024 Taiwanese study, pre-treatment HrQoL, assessed via QLQ-HN35, was a significant predictor of treatment-related complications, tolerance, and survival, with higher scores linked to increased complications (Hung CY, 2024) [6]. HPV-positive oropharyngeal cancer patients generally exhibited better QoL recovery compared to HPV-negative patients, emphasizing the need for tailored supportive care based on HPV status (Korsten LHA et al., 2021) [7]. Additionally, a 2020 UK study highlighted baseline HrQoL as a prognostic indicator for survival, advocating its integration into clinical care (Rogers SN et al., 2020) [38]. Treatment modalities also influenced QoL, with surgery plus RT causing greater morbidity than surgery alone, though recovery trends were observed within three months (Goiato MC et al., 2020) [8].
Swallowing and Voice Function: Swallowing and voice impairments significantly affect HNC patients’ QoL. A 2021 study from Ethiopia reported that dysphagia substantially impacted swallowing-related QoL, recommending routine swallowing assessments (Yifru TA et al., 2021) [9]. In Brazil, a 2024 study found that SCPL preserved laryngeal function while ensuring oncological safety, and a 2025 study confirmed that fiberoptic endoscopic evaluation of swallowing (FEES) effectively guided early rehabilitation post-laryngectomy (Liu T et al., 2024; Jia L et al., 2025) [12,41]. Tracheoesophageal prostheses were identified as the gold standard for vocal rehabilitation, improving QoL in laryngectomy patients, though fistula-related complications required careful management (Souza FGR et al., 2020; Cocuzza S et al., 2020) [13,30]. In contrast, electrolarynx use was a viable alternative, positively impacting QoL (Monte LEFD et al., 2024) [29]. A 2023 Danish study noted better long-term swallowing function and QoL in TORS patients compared to RT patients, who showed persistent QoL decline despite functional recovery (Scott SI et al., 2023) [11]. Asymptomatic swallowing disorders were common post-chemoRT, with FEES and V–VST proving useful for detection (Alvarez-Marcos C et al., 2022) [10]. The EP-SHI and HoCoS tools were validated as reliable measures for assessing speech-related QoL and communication impairments, respectively (Guimaraes I et al., 2021; Balaguer M et al., 2023) [14,15].
Psychological Distress and Nutritional Support: Psychological distress and nutritional challenges are critical factors influencing QoL in HNC patients. A 2022 Canadian study found that HPV-negative patients experienced greater psychological distress at diagnosis, while HPV-positive patients required equal support post-treatment, with major depressive disorder, anxiety, and depression significantly affecting QoL (Henry M et al., 2022) [16]. A 2024 Finnish study noted that while psychosocial factors did not influence patient delay, lower socioeconomic status and higher depression rates were prevalent among HNC patients (Atula M, 2024) [18]. Nutritional interventions were vital, with a 2021 Indian study highlighting that nutritional supplements reduced malnutrition, aiding symptom recovery and QoL improvement (Pingili S et al., 2021) [19]. Similarly, a 2023 Thai study found that Nutri-PEITC Jelly intake improved QoL and progression-free survival (PFS) in advanced oral and oropharyngeal cancer patients (Lam-Ubol A et al., 2023) [20]. A 2022 French study emphasized the role of dental rehabilitation, psychological support, and nutritional measures in elderly oropharyngeal cancer patients, noting a negative correlation between patient concerns and QoL (Bozec A et al., 2022) [27].
Oncological and Functional Outcomes: Oncological control and functional outcomes varied by treatment and disease characteristics. A 2022 French study on robotic-assisted salvage surgery for oropharyngeal cancer reported satisfactory QoL, good functional sequelae, and favorable oncological outcomes compared to historical approaches (D’Andréa G et al., 2022) [21]. In China, surgery-oriented comprehensive treatment for hypopharyngeal and laryngeal cancer achieved good swallowing function without compromising oncological control, though surgical defect size, local–regional recurrence, and distant metastasis were independent factors impacting survival and swallowing function (Li WX et al., 2022) [48]. A 2023 UK and Ireland study found that dysphagia-optimized intensity-modulated RT (DO-IMRT) improved patient-reported swallowing function compared to standard IMRT, suggesting it as a new standard of care (Nutting C et al., 2023) [23]. Trismus, prevalent in advanced oropharyngeal cancer, was associated with tumor subsite (tonsil) and concurrent CT, negatively impacting QoL (Cardoso RC et al., 2021) [24]. SLNB offered better short-term shoulder function compared to elective neck dissection (END) (van Hinte G et al., 2021) [25]. Additionally, a 2021 US study highlighted that the extent of tongue resection was strongly associated with poor QoL outcomes in oral cavity cancer patients, emphasizing the need for multidisciplinary postoperative care (Jimenez JE et al., 2021) [26].
Table 5 outlines the main conclusions of each study in relation to the affected region and reported limitations.
Table 5. Main conclusion and limitations.

3.3. QoL and Functional Outcomes Across Studies: Risk of Bias Assessment

Timeframes: Outcomes ranged from immediate post-treatment (e.g., hospital stay, 1 week) to long-term follow-up (up to 16 years). Short-term studies (≤12 months) often reported QoL declines, with partial recovery by 3–12 months [8,11]. Long-term studies (≥1 year) showed persistent dysphagia, xerostomia, and voice issues, though some patients achieved good QoL [4,27].
Outcomes:
Swallowing: Subclinical swallowing disorders were common, detected by tools like MDADI, V-VST, and FEES, significantly impacting QoL, especially in laryngeal/hypopharyngeal cancers [10,40].
Voice: Subclinical voice disorders were frequent post-treatment; rehabilitation improved outcomes in some cases [7,37].
QoL: HrQoL was influenced by treatment modality, tumor stage, and psychosocial factors. HPV-related oropharyngeal cancers often had better QoL than non-HPV cases [7,16]. Malnutrition, trismus, and xerostomia reduced QoL [19,24].
Psychosocial Factors: Anxiety, depression, and low health literacy correlated with worse QoL, but psychosocial factors did not consistently predict treatment delays [17,18].
Treatment Modalities:
Surgery: Free-flap reconstruction and robotic-assisted surgeries (e.g., TORS) were feasible but showed mixed QoL outcomes due to small samples and bias [2,21]. Laryngectomy patients’ QoL varied with vocal rehabilitation methods [13,30].
RT/ChemoRT: Dose de-escalation in HPV-positive oropharyngeal cancer reduced toxicity but not swallowing/QoL impairments [3]. Dysphagia-optimized IMRT improved swallowing compared to standard IMRT [23].
Adjuvant Therapies: Swallowing exercises, voice rehabilitation, and acupuncture moderately improved function and QoL, though evidence was limited [43,44,45].
Novel Interventions: Nutri-PEITC jelly enhanced progression-free survival and QoL in advanced cases [20].
GRADE Certainty of Evidence:
Most studies were rated very low (31/49) or low (12/49) due to:
  • Risk of Bias: Non-randomized designs, lack of blinding, selection/survival bias, self-reported outcomes, and small samples [5,28].
  • Inconsistency: Mixed findings and few comparable trials [34].
  • Indirectness: Limited generalizability from single-center studies [15].
  • Imprecision: Small samples, wide confidence intervals, low event rates [35].
Moderate certainty (6/49) occurred in studies with larger samples or validated tools (e.g., MDADI, EORTC-QLQ) [38,42].
High certainty was rare, seen in one RCT sub-analysis with low bias and precise estimates [46].
Key Predictors of QoL:
  • Demographic/Clinical: Advanced tumor stage, female gender, low income, and extensive surgery predicted worse QoL [25,26].
  • Treatment-Related: Multimodal treatments (surgery + RT) caused worse short-term QoL than single-modality treatments [25].
  • Functional: Persistent dysphagia, voice impairment, trismus, and malnutrition strongly reduced QoL [31,32].
  • Biological: Oxidative stress markers (e.g., SOD, MDA) predicted complications and QoL post-surgery [39].
Limitations and Implications
  • Data Limitations: Small samples, cross-sectional designs, and self-reported outcomes limit causal inferences. Long-term data are sparse [14,29].
  • Clinical Implications: Multidisciplinary care (swallowing/voice rehab, nutritional support, psychosocial interventions) is critical for QoL optimization. HPV status and de-escalation strategies may improve oropharyngeal cancer outcomes [7,49].
  • Research Needs: Larger, randomized trials with standardized measures (e.g., MDADI, EORTC-QLQ) and extended follow-ups are needed [33].
Risk of bias in the included randomized controlled trials was assessed using the Revised Cochrane Risk of Bias Tool (RoB 2), which evaluates five key domains: bias arising from the randomization process, deviations from intended interventions, missing outcome data, measurement of the outcome, and selection of the reported result [51]. Each domain is judged as “low risk,” “some concerns,” or “high risk” of bias [51]. The overall risk of bias for each study was determined according to Cochrane guidelines [51].
Overall Trends:
Seven of eight RCTs (Nutting, Lam-Ubol, Hajdú, Karlsson, Jansen, Johansson, Theurer) have some concerns overall, driven by:
Domain 2 (Deviations): Lack of patient blinding in rehabilitation (Hajdú, Karlsson, Jansen, Johansson), surgical/radiation (Nutting, Theurer), or nutritional trials (Lam-Ubol is an exception due to placebo).
Domain 3 (Missing Data): Potential dropout in cancer/rehabilitation trials, except Nutting (phase 3 rigor).
Domain 4 (Outcome Measurement): Subjective outcomes (QoL, swallowing, voice) with unblinded patients, except Lam-Ubol (blinded QoL/PFS).
Xuewei et al. (#44) have a high risk overall, due to high risk in Domains 2 and 4 (no blinding, subjective QoL) and some concerns in Domains 1, 3, and 5, reflecting weaker methodology in acupuncture trials.
Strengths:
Domain 1 (Randomization): Seven RCTs are low risk, indicating robust randomization in high-quality journals (Lancet Oncol, Oral Oncol, Head Neck). Xuewei is an exception (Some concerns).
Domain 5 (Reported Result): Six RCTs are low risk, suggesting protocol adherence, especially in multicenter/phase 3 trials. Xuewei and Johansson have some concerns due to potential unregistered protocols.
Weaknesses:
Domain 2 (Deviations): Most RCTs (6/8) have some concerns due to impractical blinding in non-pharmacological interventions. Xuewei is high risk (no blinding, analytical issues).
Domain 4 (Outcome Measurement): Six RCTs have some concerns due to subjective outcomes and unblinded patients. Xuewei is high risk (unvalidated QoL). Lam-Ubol is low risk (blinded, objective PFS).
Domain 3 (Missing Data): Seven RCTs have some concerns due to dropout risks in cancer trials. Nutting is low risk (phase 3 rigor).
Non-RCTs: Five studies require NOS or ROBINS-I, not RoB 2, limiting direct comparison with RCTs.

3.4. Implications for Systematic Review

Evidence Quality: RCTs with some concerns (7/8) are usable in meta-analyses, but biases (blinding, subjective outcomes) warrant cautious interpretation. Xuewei’s high risk suggests exclusion or sensitivity analysis.

4. Discussion

The analyzed results demonstrate significant advancements in the therapeutic management of head and neck cancer, highlighting both oncologic progress and improvements in post-treatment HrQoL. The anatomical regions most frequently affected by malignant neoplasms in the head and neck include the oral cavity, oropharynx, hypopharynx, and larynx. Consequently, quantifying an overall HrQoL index for patients with HNC remains challenging.
Oral Cavity
Surgery
Surgical approaches, including free tissue reconstruction and split-thickness skin graft (STSG), significantly impact HrQoL. Extensive tongue resection strongly predicts poor QoL, mediating other defect characteristics [26]. STSG suits early-stage floor of mouth carcinoma, but anterior floor cases may require alternative reconstructions [28]. SLNB offers superior short-term shoulder function and cost-effectiveness compared to elective neck dissection [25]. Discrepancies between patient-reported and clinician-rated outcomes underscore the need for PROM in routine care [36].
Combination Therapy and RT
Combining surgery with RT exacerbates short-term QoL declines, particularly in oral function, though recovery occurs within months [8]. RT negatively impacts implant survival (p < 0.00001), with dentition status and implant timing linked to recurrence and adverse effects [52]. Concurrent chemoradiation results in an improvement of over 20% in overall survival compared to radiation therapy alone [53].
Rehabilitation
Oral rehabilitation is critical for optimizing HrQoL, with systematic reviews emphasizing its integration into treatment protocols to enhance functional outcomes [52]. Nutritional supplements reduce malnutrition (40.2% prevalence), supporting recovery [19]. Swallowing assessments (e.g., MDADI) are essential for addressing dysphagia-related QoL declines [9].
Oropharynx
Surgery
TORS with RFFF reconstruction yields favorable oncologic and HrQoL outcomes, with acceptable complications [2,54]. TORS patients show better long-term swallowing and QoL compared to RT-treated patients, despite short-term declines (3–6 months), recovering by 12 months [32,55]. Advanced T-stage (>9.35 cm3) predicts worse swallowing and higher PEG placement rates [56]. Severe dysphagia remains a well-recognized complication following OPSCC surgery, even after TORS [57].
RT
Dysphagia-optimized intensity-modulated RT (DO-IMRT) improves swallowing function over standard IMRT, emerging as a potential standard of care [23]. Proton therapy (IMPT) avoids additional swallowing toxicity [40]. De-escalated RT in HPV-positive OPSCC reduces long-term toxicities, preserving QoL [3]. Audiological monitoring is crucial, as hearing loss impairs HrQoL [4].
CT and Combination Therapy
Concurrent chemoradiation increases swallowing morbidity, particularly when combined with surgery, though HPV-positive patients recover faster [7,8]. A logarithmic dose-toxicity relationship (3.4% increased dysphagia risk per gray) highlights the need for dose optimization [54,58].
Rehabilitation and Novel Interventions
Nutri-PEITC Jelly enhances QoL and progression-free survival in advanced cases [20]. Guided self-help exercises improve swallowing and communication, with early intervention being most effective [42]. Validated PROMs (EP-SHI, HoCoS, HN-LEF SI) ensure comprehensive assessment of speech, communication, and lymphedema [14,15,33]. Nutritional support is vital for both HPV-positive and HPV-negative patients [34].
Psychological Distress
Advanced stage, low income, and anxiety/depression predict poorer QoL, requiring pre-treatment screening [16]. HPV-negative patients face greater distress at diagnosis, while HPV-positive patients need post-treatment support for depression and relationship issues [16]. Psychological and nutritional care is critical for elderly patients [27].
Larynx and Hypopharynx
Surgery
SCPL and laryngeal preservation surgery balance oncologic control and function in early-stage disease [13,22]. TL yields worse HrQoL than SCPL, with TEP improving outcomes despite fistula complications [13,30,45,47,59]. Electrolarynx is still a viable alternative [29]. Surgical defect size and recurrence negatively impact QoL and swallowing [12].
RT
RT causes subclinical voice disorders and dysphagia, reducing QoL for up to 24 months [10,37]. Endoscopic laser-assisted surgery and RT for early stages show comparable outcomes, necessitating standardized assessments [60].
CT and Combination Therapy
Multimodal treatments increase symptom burden, with oxidative stress from extensive surgery worsening QoL [12,39]. CRT exacerbates dysphagia, requiring long-term rehabilitation [12].
Rehabilitation
Voice rehabilitation post-RT improves communication and is cost-effective [45,47]. Acupuncture with swallowing exercises enhances QoL post-surgery [44]. Guided self-help programs and FEES-guided rehabilitation improve swallowing in TL patients [41,43,46]. Swallowing exercises, supported by RCTs, benefit multimodal treatment patients [61]. SLNB reduces complications in metastatic lymphadenopathy but lacks clear HrQoL benefits [62].
Psychological Distress
Dysphagia, voice issues, depression, and anxiety significantly reduce HrQoL, with mild symptom burden in TL patients [5,63]. Socioeconomic status and depression warrant clinical attention [18].
Cross-Site Findings
Pre-treatment HrQoL (EORTC QLQ-HN35) predicts treatment tolerance and survival, guiding clinical decisions [6,38]. Advanced stage, female gender, low income, and multimodal treatments predict worse QoL [9,16]. Trismus (31% prevalence) and malnutrition (40.2%) impair function across sites [19,24]. Multidisciplinary care, integrating swallowing/voice rehabilitation, nutritional support, and psychological interventions, is essential [9,27,31]. Validated tools ensure accurate monitoring [33,49].
Novelty
The novelty of our review lies in emphasizing the importance of using validated assessment tools, the need for improved study designs, and providing a comprehensive overview of the outcomes of various oncological treatments for head and neck cancer. It also highlights strategies for optimizing post-treatment outcomes, refining surgical techniques, and implementing RT and CT protocols. Most literature reviews focus on one single anatomical subsite or one topic. It increasingly emphasizes the importance of rehabilitation strategies and their timely implementation. De-escalated therapeutic approaches, particularly in adjuvant therapy, have proven effective, with reduced radiation doses leading to improved swallowing function and minimized long-term toxicities, contributing to satisfactory HrQoL. Continuous monitoring, including audiological assessments, is emphasized to detect hearing impairments early, as unmanaged impairments may adversely affect long-term outcomes. Late adverse effects, including vocal disorders (often subclinical post-CT or RT), swallowing disorders (including asymptomatic cases detected by fiberoptic endoscopic evaluation of swallowing and volume–viscosity swallow test [V-VST]), trismus, depression, and anxiety, significantly impact HrQoL. Evaluation using validated tools is essential for accurately monitoring treatment effects on vocal and swallowing functions, as well as fibrosis and lymphedema.
From the perspective of post-resection reconstruction, the extent of tongue resection and the choice of reconstruction technique significantly influence functional outcomes and HrQoL. Minimally invasive surgical approaches, such as robotic-assisted surgery, offer advantages in improving functional recovery and reducing complications compared to traditional methods. Integrated supportive interventions, including nutritional supplementation, dental rehabilitation, and psychological counseling, are critical in mitigating the negative impact of treatments, particularly in patients with risk factors such as advanced age, unfavorable socioeconomic status, advanced disease stage, or symptoms of depression and anxiety. Guided self-help programs, vocal rehabilitation therapies, specialized exercises, and complementary interventions such as acupuncture contribute to improved speech and swallowing functions, facilitating faster recovery and enhancing long-term outcomes.
Limitations
Although our literature review provides valuable insights into the oncological and QoL outcomes of head and neck cancer treatments, we must acknowledge the selected studies’ limitations—small sample sizes, single-center designs, limited generalizability, selection bias, subjective measures, and short follow-up periods—which restrict the strength and applicability of the findings.

4.1. Small Sample Size

Studies Affected: Williamson A et al. (2021) [2], Aggarwal P et al. (2023, 2021) [4,42], Alvarez-Marcos C et al. (2022) [10], Pingili S et al. (2021) [19], Cardoso RC et al. (2021) [24], Bozec A et al. (2022) [27], Guimaraes I et al. (2021) [14], Balaguer M et al. (2023) [15], Larson AR et al. (2021) [28], Monte LEFD et al. (2024) [29], Scott SI et al. (2021, 2023) [11,32], D’Andréa G et al. (2022) [21], Harrowfield J et al. (2021) [34], Ramalingam K et al. (2024) [35], van Hinte G et al. (2021) [25], Balaji H et al. (2024) [36], Tuomi L et al. (2021) [37], Zivkovic A et al. (2024) [39], Liu T et al. (2024) [12], Cocuzza S et al. (2020) [13], Theurer JA et al. (2025) [49], Nakai MY et al. (2021) [50], Zhu X et al. (2022) [44], Johansson M et al. (2020) [47], Jia L et al. (2025) [41].
Implications: Small sample sizes reduce statistical power, leading to wider confidence intervals (e.g., Aggarwal P et al., 2023 [4]) and limiting the ability to detect significant differences or generalize findings. This is particularly problematic in studies assessing rare outcomes or subgroups (e.g., Cardoso RC et al., 2021 [24], for IMPT and PORT patients).

4.2. Single-Center Study Design

Studies Affected: Price K et al. (2022) [3], Wulff NB et al. (2022) [5], Alvarez-Marcos C et al. (2022) [10], Pingili S et al. (2021) [19], Cardoso RC et al. (2021) [24], Hung CY et al. (2024) [6], Henry M et al. (2022) [16], Scott SI et al. (2021) [32], D’Andréa G et al. (2022) [21], Deng J et al. (2022) [33], Zivkovic A et al. (2024) [39], Grant SR et al. (2020) [40], Nakai MY et al. (2021) [50], Zhu X et al. (2022) [44], Li WX et al. (2022, 2023) [22,48], Liu T et al. (2024) [12], Nutting C et al. (2023) [23].
Implications: Single-center studies limit generalizability due to institution-specific protocols, patient demographics, and treatment practices. For example, Hung CY et al. (2024) [6] noted limited generalizability due to a single-center design, which may not reflect outcomes in diverse healthcare settings.

4.3. Limited Generalizability Due to Regional or Population-Specific Factors

Studies Affected: Bozec A et al. (2022 [27], France-specific protocols), Goiato MC et al. (2020 [8], Brazil-specific protocols), Korsten LHA et al. (2021 [7], Dutch-specific protocols), Scott SI et al. (2023 [11], Denmark-specific protocols), Lam-Ubol A et al. (2023 [20], Thailand-specific protocols), Aggarwal P et al. (2021 [42], Dutch-specific protocols), Yifru TA et al. (2021 [9], Ethiopian context), Rogers SN et al. (2020 [38], UK-based data), Pingili S et al. (2021 [19], Indian population).
Implications: Region-specific treatment protocols, cultural factors, or socioeconomic conditions (e.g., Yifru TA et al., 2021 [9]) limit the applicability of findings to other populations. For instance, modified questionnaires in Pingili S et al. (2021) [19] may not align with standardized global measures.

4.4. Potential Selection Bias

Studies Affected: Price K et al. (2022) [3], Cardoso RC et al. (2021) [24], Bozec A et al. (2022) [27], Korsten LHA et al. (2021) [7], Lam-Ubol A et al. (2023) [20], Jimenez JE et al. (2021) [26], Deng J et al. (2022) [33].
Implications: Strict inclusion/exclusion criteria (e.g., Price K et al., 2022 [3]) or sampling from specific clinics (e.g., Jimenez JE et al., 2021 [26]) may exclude patients with different characteristics, skewing results. For example, Jimenez JE et al. (2021) [26] noted potential bias from patients attending survivorship clinics.

4.5. Reliance on Self-Reported or Subjective Measures

Studies Affected: Cardoso RC et al. (2021 [24], self-reported trismus), Jimenez JE et al. (2021 [26], subjective PROMs), Andreassen R et al. (2022 [31], self-reported data), Yifru TA et al. (2021 [9], self-reported data), Atula M (2024 [18], recall bias), Ramalingam K et al. (2024 [35], patient-reported outcomes), Balaji H et al. (2024 [36], patient-reported outcomes), Johansson M et al. (2020 [47], recall bias).
Implications: Self-reported measures are prone to recall bias, subjectivity, or discrepancies with clinician assessments (e.g., Balaji H et al., 2024 [36]). This affects the reliability of QoL and functional outcome data.

4.6. Cross-Sectional or Retrospective Design

Studies Affected: Jimenez JE et al. (2021 [26], retrospective cross-sectional), Monte LEFD et al. (2024 [29], cross-sectional), Souza FGR et al. (2020 [30], cross-sectional), Andreassen R et al. (2022 [31], cross-sectional), Yifru TA et al. (2021 [9], cross-sectional), Li WX et al. (2022 [48], retrospective), Liu T et al. (2024 [12], retrospective).
Implications: Cross-sectional designs limit causal inferences, while retrospective designs may introduce recall bias or miss preoperative data (e.g., Souza FGR et al., 2020 [30]). These designs cannot capture longitudinal changes in QoL or functional outcomes.

4.7. Limited Follow-Up Duration

Studies Affected: Williamson A et al. (2021) [2], Goiato MC et al. (2020 [8], 3 months), Theurer JA et al. (2025) [49], Jia L et al. (2025) [41], Harrowfield J et al. (2021) [34], Zhu X et al. (2022) [44].
Implications: Short follow-up periods fail to capture long-term outcomes, such as late toxicities or recovery trends (e.g., Goiato MC et al., 2020 [8]). This is critical for QoL studies, where long-term impacts are significant.

4.8. Missing Data or High Dropout Rates

Studies Affected: Henry M et al. (2022 [16], missing data requiring imputation), Nutting C et al. (2023 [23], missing data requiring imputation), Andersen LP et al. (2023 [17], missing data requiring imputation), Korsten LHA et al. (2021 [7], missing surveys due to death/loss to follow-up), Tuomi L et al. (2021 [37], high dropout rate), Hajdú SF et al. (2022 [43], 25% dropout rate), Karlsson T et al. (2022 [45], reduced participants over time).
Implications: Missing data or high dropout rates reduce the reliability of results and may introduce bias, particularly if dropouts are related to poor outcomes (e.g., Korsten LHA et al., 2021 [7]).

4.9. Lack of Preoperative or Baseline Data

Studies Affected: Larson AR et al. (2021 [28], lack of preoperative functional data), Atula M (2024 [18], inability to assess pre-diagnosis psychological status), Nakai MY et al. (2021 [50], lack of preoperative QoL assessments), Zivkovic A et al. (2024 [39], lack of preoperative psychological assessments).
Implications: Without baseline data, it is difficult to attribute changes in QoL or function to treatment rather than pre-existing conditions.

4.10. Heterogeneity in Treatment or Patient Characteristics

Studies Affected: Aggarwal P et al. (2023 [4], variability in treatment regimens), Wulff NB et al. (2022 [5], variability in rehabilitation approaches), Tuomi L et al. (2021 [37], heterogeneity in tumor localization/stages), Balaji H et al. (2024 [36], lack of uniformity in cancer sub-sites).
Implications: Variability in treatments, tumor sites, or patient demographics complicates comparisons and may confound results.

4.11. Specificity of the Inclusion Criteria

This study did not identify any research meeting the inclusion criteria that investigated antibody-based immunotherapy for relapsed head and neck cancer, despite its recognition as a state-of-the-art treatment in current guidelines [64]. This may reflect the specificity of the inclusion criteria, potentially excluding relevant studies. As highlighted by Zahavi and Weiner (2020) [64], monoclonal antibodies are increasingly critical in cancer therapy, underscoring the need for broader criteria in future reviews to capture such advancements [64].

4.12. Overall Impact on the Literature Review

  • Reliability: Small sample sizes, missing data, and reliance on self-reported measures introduce variability and potential bias, reducing the confidence in reported outcomes. For example, studies like Williamson A et al. (2021) [2] and Aggarwal P et al. (2023) [4] note wider confidence intervals due to small samples, which weakens the precision of QoL or functional outcome estimates.
  • Generalizability: Single-center studies and region-specific protocols (e.g., Bozec A et al., 2022 [27]; Goiato MC et al., 2020 [8]) limit the applicability of findings to diverse populations or healthcare settings. This is particularly relevant for your review if you aim to draw conclusions applicable to global or varied clinical contexts.
  • Comparability: Heterogeneity in treatment regimens, patient populations, and study designs (e.g., cross-sectional vs. longitudinal) makes it challenging to synthesize results or perform meta-analyses. For instance, differences in tumor sites (e.g., oropharynx vs. larynx) and treatment modalities (e.g., TORS vs. RT in Scott SI et al., 2023 [11]) complicate direct comparisons.
  • Long-Term Insights: Limited follow-up durations and lack of preoperative data (e.g., Larson AR et al., 2021 [28]; Jia L et al., 2025 [41]) restrict the understanding of long-term QoL or functional outcomes, which are critical for head and neck cancer patients given the chronic nature of treatment-related morbidities.
  • Clinical Application: Selection bias and subjective measures (e.g., Jimenez JE et al., 2021 [26]; Cardoso RC et al., 2021 [24]) may overestimate or underestimate treatment benefits, potentially misleading clinical decision-making or patient counseling.

5. Conclusions

In conclusion, these results underscore the need for a multidisciplinary and personalized approach to head and neck cancer treatment. Integrating de-escalated therapy strategies, careful monitoring of critical functions, and incorporating supportive measures (both physical and psychosocial) are key factors in optimizing oncologic outcomes and patients’ quality of life. Future studies should confirm these findings over the long term and refine prognostic models to provide the most suitable therapeutic solutions for different patient subgroups. We advocate for prospective, randomized designs in order to minimize selection bias and recall bias. We also recommend using objective measures alongside PROMs to reduce reliance on subjective data. This synthesis integrates aspects related to surgical techniques, reconstruction modalities, functional assessment (vocal and swallowing), and supportive interventions, highlighting future research directions and the importance of a holistic approach in managing head and neck cancer patients.

Implications for Future Research

  • Refinement of De-escalation Protocols: Current evidence suggests that de-escalated adjuvant therapy—through reduced radiation doses and adjusted CT regimens—can achieve satisfactory oncologic outcomes while minimizing long-term side effects. Future studies should focus on refining these protocols, evaluating them in larger and more diverse patient groups to confirm safety, efficacy, and sustainability.
  • Emphasis on Multidimensional Functional Assessment: Many studies have demonstrated the impact of treatments on swallowing function, voice quality, and HrQoL. Future research must integrate validated PROM alongside objective functional tests (e.g., FEES, V-VST, EP-SHI, HoCoS) to standardize data and enable comparison of results across studies.
  • Personalized and Multidisciplinary Approaches: Variability based on factors such as the extent of surgical resection, patient age, socioeconomic status, and psychological stress indicates that a one-size-fits-all strategy is not optimal. Future studies should explore personalized therapies integrating baseline HrQoL assessments, predictive models, and multidisciplinary supportive interventions—including psychological counseling, nutritional support, and dental rehabilitation—to optimize treatment plans tailored to each subgroup.
  • Comparative Evaluations of Minimally Invasive Surgical Techniques: Emerging data on robotic-assisted surgery and other minimally invasive techniques suggest significant benefits in functional recovery and complication reduction compared to traditional methods. Future research should conduct direct comparative studies between these new approaches and conventional techniques, emphasizing long-term functional and quality-of-life outcomes.
  • Integration of Supportive and Rehabilitation Interventions: The results highlight the critical role of supportive interventions—such as nutritional supplements, vocal rehabilitation programs, and guided self-help exercises—in reducing treatment-associated morbidity. Future research should establish the optimal timing, duration, and combination of these interventions while evaluating their cost-effectiveness and impact on patient recovery.
  • Exploration of Dose–Effect Relationships and Toxicity Profiles: A detailed analysis of dose–effect relationships and long-term effects, particularly regarding late toxicities (e.g., trismus, fibrosis, and subclinical swallowing disorders), is necessary. Future studies must investigate the mechanisms underlying these effects and develop strategies or adjuvant therapies to minimize toxicities without compromising tumor control.
In conclusion, these implications emphasize the need for future studies to validate and optimize de-escalation strategies while adopting a holistic approach targeting both oncologic control and comprehensive functional recovery. A multidisciplinary perspective will be essential in designing personalized treatment protocols to significantly improve the QoL for head and neck cancer patients. These research directions open new opportunities to explore mechanisms to counteract treatment toxicities, the benefits of early rehabilitation, and the integration of patient-reported outcomes into clinical practice, which together can lead to better treatment planning and personalization.
This literature review was not registered. There was no protocol prepared for this review.

Author Contributions

Conceptualization: P.L.B., R.G., and G.S.B.; Methodology: R.I.N.-S., T.E.S.-D., and S.A.R.; Software: B.P.T., Ș.V.G.B., and B.P.; Validation: I.D.P., A.N., and A.I.C.; Formal Analysis: C.B.S.-A., R.G., and P.L.B.; Investigation: G.S.B., R.I.N.-S. and T.E.S.-D.; Resources: S.A.R., B.P.T., and Ș.V.G.B.; Data Curation: B.P., I.D.P., and A.N.; Writing—Original Draft Preparation: P.L.B., A.I.C., and C.B.S.-A.; Writing—Review and Editing: G.S.B., R.I.N.-S., and I.D.P.; Visualization: T.E.S.-D., S.A.R., and B.P.T.; Supervision: Ș.V.G.B., B.P., and R.G.; Project Administration: A.N., A.I.C., P.L.B.; Funding Acquisition: C.B.S.-A., R.G., and S.A.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The data presented in this study are available in this article.

Conflicts of Interest

The authors declare no conflicts of interest.

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