Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
Showing 10 appraisals
International dental journal
Accuracy of Large Language Models in Answering Dental Examination Questions: A Systematic Review and Meta-Analysis
INTRODUCTION: Large language models (LLMs), including OpenAI's GPT family accessed via interfaces such as ChatGPT and Microsoft Copilot, as well as non-GPT systems such as Google Gemini, are increasingly applied in healthcare and dental education. However, the accuracy of these systems in specialized tasks such as answering dental examination questions remains unclear. METHODS: This systematic review and meta-analysis evaluated LLM performance in answering dental questions. Databases searched were PubMed, Embase, Scopus, and Web of Science. Data on question type and number, LLM versions, and accuracy rates were extracted. Pooled accuracy was estimated using a random-effects model; heterogeneity and publication bias were assessed. RESULTS: A total of 39 studies were included, with ChatGPT-4 being the most frequently evaluated model. The pooled accuracy for LLMs was 63.7% (95% CI: 60.3%-67.1%), with high heterogeneity (I² = 91.5%). Subgroup analysis revealed ChatGPT-4 and Copilot (a GPT-based interface) achieved the highest pooled accuracies (∼73% and ∼75%, respectively). Direct comparisons confirmed ChatGPT-4 significantly outperformed earlier versions and some competitor models. Sensitivity analyses supported the robustness of findings. CONCLUSION: LLMs demonstrate moderate accuracy in answering dental examination questions and are currently insufficient for autonomous clinical decision-making. When their limitations are explicitly recognized, however, these systems may serve as valuable adjuncts in dental education and examination preparation. Methodological strategies such as structured prompting and retrieval-augmented approaches warrant further investigation but were not the primary focus of the present analysis.
2 Aug 2026
Read appraisal →Clinical oral investigations
Deep learning-based automated assessment of alveolar bone loss in CBCT for periodontitis
OBJECTIVES: This study aimed to develop and validate a CBCT-based automated system for assessing radiographic alveolar bone loss (RBL) to improve the accuracy and efficiency of periodontitis diagnosis. METHODS: A total of 110 patients (2,796 teeth) with Stage I-IV periodontitis from four center were included. The nnU-Net framework was used to segment teeth, alveolar bone, and the cemento-enamel junction (CEJ). RBL was calculated automatically using an edge-constrained shortest path algorithm. The model was trained on data from Center A and externally validated with datasets from Centers B-D. Linear periodontal measurements from 11 CBCT scans were compared between manual and CAD-based segmentation. An independent validation set was used to assess automated staging accuracy and time efficiency. RESULTS: The CAD system achieved Dice similarity coefficients (DSC) of 95.85% for teeth, 95.75% for alveolar bone, and 86.18% for the CEJ. External validation showed alveolar bone and tooth DSC values both above 95% and CEJ DSC values above 77%. Linear measurements showed strong agreement with manual segmentation (Spearman's ρ = 0.9187; ICC = 0.9266). For staging, the CAD system reached an overall accuracy of 87.31%, with 97.01% for Stage Ⅰ, 88.06% for Stage Ⅱ and 89.55% for Stage Ⅲ/Ⅳ. The CAD system represented a 13.42-fold acceleration compared with the manual workflow. CONCLUSION: The CAD system enables accurate automated segmentation and RBL quantification on CBCT images, with robust multicenter performance and substantial gains in efficiency. CLINICAL SIGNIFICANCE: This system offers a fast and reliable method for RBL assessment, supporting consistent diagnosis and monitoring of periodontitis.
19 July 2026
Read appraisal →The Journal of prosthetic dentistry
Deep learning-based object detection of dental implant systems in panoramic and periapical radiographs
STATEMENT OF PROBLEM: The manual identification of dental implant systems on radiographs is time-consuming, operator-dependent, and prone to diagnostic inaccuracies, particularly for patients where clinical documentation is lacking. The increasing variety of implant designs further complicates identification in prosthetic and surgical practice. PURPOSE: The purpose of this study was to develop and evaluate a deep learning-based model for the automated identification of 7 implant systems (Adin, Dentium, Dionavi, Make It Simple (MIS), Nobel, Noris, and Osstem) using panoramic radiographs and periapical radiographs in an effort to enhance diagnostic efficiency and support clinical decision-making in prosthodontic care. MATERIAL AND METHODS: A total of 4677 anonymized radiographic images with 8189 implants were curated and annotated using Roboflow with bounding boxes outlining fixture components. The preprocessing involved normalization, resizing to 640×640 pixels, and geometric augmentation (rotation, cropping, and blurring) to handle class imbalances. You Only Look Once (YOLO) v10 architecture, implemented with PyTorch, using CSPDarknet and PANet for multiscale feature fusion, was used to optimize real-time detection. Transfer learning used pretrained weights, with training for over 500 epochs (batch size: 32) on NVIDIA T4 GPUs. Data partitioning involved an 80:10:10 ratio (training: validation: testing), with performance evaluated using precision, recall, F1-score, and mean average precision (mAP). RESULTS: The model achieved a mAP of 98.3%, with mean precision, recall, and F1-score values of 93%, 86%, and 89%, respectively. Osstem implants demonstrated maximum discriminability (99% precision, 95% recall). In contrast, Nobel implants exhibited low recall (72.7%), attributed to the sparsity of the dataset (564 samples for Nobel compared with 2320 for Osstem) and similar radiopacity patterns. CONCLUSIONS: The YOLOv10 model demonstrated good performance in identifying dental implants, showing clinical promise for minimizing prosthetic mismatches. Subject to ethics and regulatory approvals, additional improvements involving 3-dimensional imaging and heterogeneous datasets may add precision and validate artificial intelligence as an evidence-based advance in implant dentistry.
2 July 2026
Read appraisal →The Journal of prosthetic dentistry
Performance of large language models conducting systematic review tasks in prosthodontics.
STATEMENT OF PROBLEM: Systematic reviews (SRs) are time-consuming and resource-intensive processes. Whether large language models (LLMs) can improve the process is unclear. PURPOSE: The purpose of this study was to evaluate the accuracy and reliability of 4 LLMs (GPT-4, Gemini, Claude, and Elicit) in performing SR tasks (full-text screening, data extraction, and risk of bias assessment) at 3 different sequential periods of time (0, 15, and 30 days). MATERIAL AND METHODS: A comprehensive systematic search was conducted across 5 databases in December 2024, with 59 articles evaluated for screening (2 used for pilot) and 31 for data extraction (2 used for pilot). A 3-pronged prompting strategy was used, including persona-based initialization, few-shot learning, and structured population, intervention, control, outcome (PICO) criteria. Performance was assessed through 3 repeated evaluations at 2-week intervals by measuring accuracy and reliability using standard metrics (accuracy, precision, F1-score, sensitivity, and specificity) against expert assessments, data extraction quality on a 0 to 5 scale, and risk of bias agreement via the Cohen kappa, with statistical analysis using Kruskal-Wallis and Dunn post hoc tests (α=.05). RESULTS: In full-text screening, Claude achieved the highest sensitivity at 97%, while Claude and Elicit both showed strong overall performance with 86% accuracy and 87% F1-scores. All models maintained sensitivity above 90%. For data extraction, GPT-4 consistently performed best with median scores of 5.0, while Claude and Gemini showed similar capabilities. Significant differences only appeared in labeling and modeling tasks during Week 1 (P=.04). Risk of bias assessment agreement with experts varied from 55% to 90% across different criteria. CONCLUSIONS: LLMs show potential for SR efficiency (especially for data extraction) but require human oversight because of variable performance across models and tasks.
2 July 2026
Read appraisal →Clinical oral investigations
Effectiveness of BRIX3000 for chemo-mechanical caries removal: a systematic review and meta-analysis of time and pain outcomes
AIMS: This systematic review was conducted to critically assess and statistically synthesise data from all available clinical studies on this topic. This study focused on the efficacy and safety of this agent (BRIX3000), the time required for caries removal, and the pain experienced by patients during the procedure, to provide clinicians and researchers with clear evidence on whether BRIX3000 is genuinely effective. MATERIALS AND METHODS: Electronic literature searches were performed using PubMed, Scopus, and Web of Science to collect eligible randomised clinical trials that had evidence regarding the efficacy of BRIX3000 for chemo-mechanical caries removal in comparison with the conventional rotary instruments and other atraumatic restorative treatment (ART) methods. The selected studies included children and adults of both sexes, with no age or gender preference, who had dentinal carious lesions in primary or permanent teeth without pulpal involvement. RESULTS: Nine randomised trials (eight in paediatric and one in adult populations) were included. Pooled analyses indicated that BRIX3000 was associated with a longer mean caries removal time than control techniques (MD 4.58 min, 95% CI 2.45 to 6.70; p < 0.0001; I² = 96%) and with lower pain scores on the Wong-Baker FACES scale among paediatric patients (MD - 2.50, 95% CI - 4.37 to - 0.62; p = 0.009; I² = 92%). Complete caries removal did not differ significantly between groups in either the paediatric (OR 0.45, 95% CI 0.02 to 8.34; p = 0.59) or adult (OR 0.73, 95% CI 0.15 to 3.49; p = 0.69) subgroup. All pooled estimates exhibited substantial heterogeneity, and the adult evidence comprised only two trials. Most included studies were judged to be at low overall risk of bias on the RoB 2 tool. CONCLUSION: Within the limits of substantial heterogeneity, short follow-up, and a small adult evidence base, BRIX3000 may represent a useful chemo-mechanical alternative - particularly in paediatric and anxiety-prone patients - at the cost of a modest increase in procedural time. Adequately powered trials with longer follow-up are required to confirm these preliminary findings. CLINICAL RELEVANCE: Our results indicate that BRIX3000 can be a viable option for patients with extensive fear of conventional methods, as well as for the paediatric population.
7 June 2026
Read appraisal →Clinical oral investigations
Efficacy of subgingival irrigation with chemical agents as adjuvants to non-surgical periodontal therapy: systematic review and meta-analysis
OBJECTIVE: This systematic review aims to assess the efficacy of chemical agents (CA) in subgingival irrigation as an adjunct to non-surgical periodontal treatment (NSPT) in the treatment of periodontitis. METHODS: Search strategies were developed for MEDLINE via PubMed, Web of Science, and LILACS databases for publications up to March 2025. Risk of bias was assessed according to the RoB 2.0 tool. Random-effects meta-analyses were conducted for clinical attachment level (CAL), probing pocket depth (PPD), and bleeding on probing (BOP). RESULTS: From 1244 studies initially screened, 16 randomized clinical trials were included for qualitative and quantitative analyses. Studies assessed the effects of the following chemical agents: Povidone-iodine (PVP-I), Essential Oils (EOs); Chlorhexidine (CHX), Ozonated water (OW) and Boric Acid (BA). Overall, the meta-analysis showed that the adjunctive use of CA as subgingival irrigation did not provide additional benefit in PPD reduction, CAL gain, and BOP compared with controls (P > 0.05). Most studies raised some concerns with risk of bias, and 2 showed a high risk of bias. CONCLUSION: Adjunctive use of chemical agents in subgingival irrigation during NSPT for periodontitis patients does not appear to provide additional benefit over NSPT alone, although evidence levels are low to very low. CLINICAL RELEVANCE: CA are frequently used as adjuncts to NSPT, despite uncertainty regarding their real clinical contribution. The findings of this study help clinicians make more evidence-based decisions and avoid unnecessary use of adjunctive subgingival irrigation strategies during periodontal treatment.
14 May 2026
Read appraisal →Clinical oral investigations
Clinical performance of alkasite and glass-hybrid restorations compared with resin composite in class II cavities: a randomized clinical trial
OBJECTIVES: The aim of this randomized clinical trial was to evaluate the 18-month clinical performance of alkasite and glass-hybrid restorations compared with resin composite in Class II restorations. MATERIALS AND METHODS: A total of 50 patients requiring at least three Class II restorations in premolar and molar teeth were recruited. Each patient received three restorations, which were randomly assigned to one of the following materials: an alkasite (Cention N, Ivoclar Vivadent), a glass-hybrid (Equia Forte HT, GC Corp.), or a resin composite (Gradia Direct Posterior, GC Corp.). Alkasite and glass-hybrid served as test groups while resin composite served as the control group. During the 18-month follow-up, restorations were scored at baseline, 6, 12, and 18 months using the FDI criteria. Data were analyzed using the Chi-square and Cochran's Q tests (α = 0.05). RESULTS: No significant differences were detected among the groups for esthetic, functional, or biological criteria over 18 months (p > 0.05). Regarding esthetic properties, the control group showed 100% success for all esthetic criteria at all recall visits, while the alkasite group maintained a 96% success rate at all time points, and glass-hybrid showed 98% success at 6 and 12 months and 92% at 18 months. Minor score-2 changes in color match and gloss were detected in the glass-hybrid and alkasite groups but were not significant (p > 0.05). For functional and biological outcomes, all groups achieved 100% success rates for all evaluated parameters. CONCLUSIONS: Alkasite and glass-hybrid groups exhibited clinical performance comparable to resin composite over the 18-month follow-up in Class II cavities. All materials demonstrated excellent functional and biological stability while achieving clinically acceptable aesthetic results.
10 May 2026
Read appraisal →Medical science monitor : international medical journal of experimental and clinical research
Influence of Operative Techniques on Clinical and Laboratory Outcomes in Class II Resin-Based Composite Restorations: A Systematic Review
BACKGROUND Operative technique is a major determinant of the long-term success of Class II resin-based composite restorations. Variations in adhesive strategy, layering approach, matrix system, and curing protocol influence marginal integrity, polymerization stress, postoperative sensitivity, and secondary caries. Because resin-based composite placement is technique-sensitive, synthesizing evidence on how specific operative steps affect outcomes is essential. This systematic review evaluated the influence of operative techniques on the clinical and laboratory performance of Class II resin-based composite restorations. MATERIAL AND METHODS A comprehensive search of PubMed, Cochrane Library, and Embase identified 57 records. After duplicate removal and screening, 21 studies were included (11 randomized controlled trials and 10 in vitro investigations). Techniques assessed were adhesive protocols, layering strategies, matrix systems, and curing methods. Data extraction focused on restoration longevity, marginal adaptation, postoperative sensitivity, and secondary caries. Risk of bias was evaluated using the Cochrane tool for randomized trials and modified CONSORT/Joanna Briggs Institute criteria for in vitro studies. Meta-analysis was not feasible because of heterogeneity. RESULTS Multi-step adhesive approaches showed the highest 5-year survival (up to 91%) and lower secondary caries rates. Incremental layering reduced postoperative sensitivity and improved marginal adaptation. Sectional matrices produced tighter proximal contacts (76% vs 42%), while soft-start curing reduced marginal gap formation (112 µm to 45 µm). One-step adhesives and uncontrolled bulk-fill placement showed higher failure and hypersensitivity. CONCLUSIONS Multi-step adhesives, incremental layering, sectional matrices, and soft-start curing provide the most favorable outcomes and support technique standardization in clinical practice.
1 May 2026
Read appraisal →Scientific reports
Effectiveness of intracanal cryotherapy in reducing post-endodontic pain in irreversible pulpitis: a systematic review and meta-analysis
Irreversible pulpitis is characterized by persistent inflammation and moderate to severe pain, often requiring pharmacological or adjunctive strategies for postoperative management. Intracanal cryotherapy has emerged as a simple, cost-effective technique to mitigate this pain by utilizing cold-induced physiological responses. This systematic review and meta-analysis aimed to evaluate the clinical evidence regarding the effectiveness of intracanal cryotherapy in reducing postoperative pain in teeth with irreversible pulpitis. Electronic searches were conducted in PubMed, Web of Science, Cochrane, and Scopus up to October 2025. Randomized controlled trials (RCTs) comparing intracanal cryotherapy to conventional endodontic treatment. Two reviewers independently screened studies, extracted data, and assessed risk of bias using RoB 2. Random-effects meta-analysis was performed using SMD for pain levels at 6, 12, 24, 48, and 72 h. Twelve RCTs were included; nine were meta-analyzed. Cryotherapy significantly reduced pain at 6 and 12 h but not later time points. Intracanal cryotherapy appears to be a safe and inexpensive adjunct that is associated with reduced early postoperative pain, with the most consistent effect observed within the first 6-12 h. Heterogeneity and short follow-up periods. Cryotherapy reduces early postoperative pain only.Registration: PROSPERO CRD420261295239.
27 Apr 2026
Read appraisal →Quintessence international (Berlin, Germany : 1985)
Photobiomodulation-assisted surgical wound healing at palatal donor site area: a systematic review
OBJECTIVE: The aim was to critically analyze the effects of photobiomodulation on recovery of the donor area after free gingival graft (FGG) surgery. DATA SOURCES: A comprehensive literature search was conducted in PubMed, Scopus, and Web of Science with date of access up to 7 April 2025, structured according to the PICO strategy: patients ≥ 18 years undergoing removal of FGGs from the palatal region (P), intervention with photobiomodulation at the donor site (I), compared with natural healing (C), evaluating wound healing as the primary and pain as the secondary outcome (O). A total of 668 records were identified and 8 randomized clinical trials, in which 284 participants were included. In outcomes, clinical healing parameters and patient-reported pain were analyzed, in which the majority of studies demonstrated that photobiomodulation positively influenced epithelialization, reduction in wound area, and tissue color during the first two postoperative weeks. However, the effect on pain control was inconsistent among studies, with only two showing statistically significant reductions. The studies included demonstrated clinical and methodologic heterogeneity due to different laser parameters, and their designs made statistical pooling of data unfeasible for a meta-analysis. CONCLUSION: Photobiomodulation appears to be a promising adjunctive therapy to accelerate palatal wound healing after FGG, particularly in the early postoperative period. Nevertheless, the clinical benefit in pain management remains uncertain. Future well-designed studies with standardized protocols are needed to strengthen contemporary evidence. (Quintessence Int 2026;57:230-241; doi: 10.3290/j.qi.b6762754).
5 Apr 2026
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