Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
Showing 4 appraisals
Journal of dental research
AI in Oral Health Surveillance: Critical Review
Artificial intelligence (AI) holds transformative potential for advancing oral health surveillance by streamlining data collection, integration, and dissemination. This review critically synthesizes AI applications in oral health surveillance, highlighting its roles in 1) mapping population-level trends and oral health inequities using machine learning on epidemiological data; 2) enabling remote screening of oral diseases/conditions, including caries, oral hygiene, gingivitis, oral cancer, and malocclusion from intraoral images via computer vision models; and 3) integrating multimodal data through emerging large language models (LLMs) to enhance precision public health. We clarify the comparative strengths of distinct AI modeling for processing the primary data types in surveillance: structured clinical records, unstructured images, and integrated multimodal data. Traditional machine learning methods have been effectively applied to map population-level oral health disparities and identify risk factors but are constrained to structured data. Computer vision methods excel in individual-level diagnostics using intraoral photographs. To translate such capability into scalable surveillance, it is recommended to establish standardized imaging protocols for nonclinical settings, develop scalable models for fine-grained feature extraction, and implement reliable evaluation. These steps are essential to address pervasive challenges, including inconsistent image quality, domain shift, prevalence imbalance, and cost-effectiveness constraints. The future of AI-driven oral health surveillance lies in developing dental-adapted multimodal LLMs (MLLMs). Such MLLMs are uniquely capable of synthesizing disparate data streams, from structured clinical data to heterogeneous imaging modalities (e.g., intraoral photographs and radiographs), or even biomolecular data. This integration capacity facilitates a paradigm shift, moving current applications in dental consultation and clinical decision support toward a novel, tiered system for population-level monitoring. Such a system would provide actionable insights for public health policymaking via spatiotemporal analysis and causal inference. Next-generation AI-driven oral health surveillance systems can only succeed when built on a strong foundation of rigorous ethical principles and safeguards.
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 →Quintessence international (Berlin, Germany : 1985)
Mapping sequential patterns of periodontal breakdown using longitudinal electronic health records data
OBJECTIVE: To identify probabilistic, sequential patterns of periodontal breakdown using sequential pattern mining (SPM) on a large longitudinal cohort. METHOD AND MATERIALS: Electronic health records from 19,428 patients with periodontitis (2011-2022) were analyzed. A custom SPM algorithm was developed to identify frequent temporal subsequences of tooth mobility and furcation involvement, enforcing strict temporal precedence. 'High-risk' states (eg, generalized clinical attachment loss [CAL] > 3.0 mm) were evaluated as precursors to localized failure. Association rules were ranked by confidence (conditional probability). RESULTS: The analysis revealed distinct biomechanical cascading patterns. In the mandibular anterior sextant, mobility in the central incisors was a strong probabilistic precursor to subsequent failure in the lateral incisors and canines (confidence 7.3%). A significant 'antagonistic cascade' was identified, where mandibular incisor mobility preceded maxillary incisor instability (confidence 8.1%). For molars, furcation involvement acted as a specific temporal sentinel for future mobility (confidence ~5% to 6%). Generalized high CAL was the strongest predictor of localized failure (confidence 18.9%), significantly outperforming active inflammation (bleeding on probing) as a driver of mechanical instability. CONCLUSION: Progressive biomechanical compromise (such as tooth mobility and advanced furcation involvement) follows predictable, probabilistic sequential patterns. The identification of specific 'sentinel events,' such as mandibular incisor mobility and molar furcation involvement, allows for a shift from reactive site-by-site management to predictive intervention. CLINICAL RELEVANCE: These findings underscore the critical role of generalized attachment loss in driving localized mechanical failure cascades.
22 May 2026
Read appraisal →Calcified tissue international
Diagnostic Indices for Epidemiological Assessment of Molar Incisor Hypomineralization: A Systematic Review
Molar incisor hypomineralization (MIH) is a qualitative developmental defect of enamel and one of the most prevalent oral health conditions in childhood. Over the last two decades, increasing attention has been given to its prevalence and etiology; however, marked heterogeneity in diagnostic criteria and indices has limited the comparability of epidemiological findings. This systematic review aimed to identify and describe the diagnostic indices used for the epidemiological assessment of MIH in the general pediatric population. A systematic literature search was conducted in PubMed, Scopus, and Google Scholar to identify epidemiological studies published between January 2001 and December 2024 reporting MIH prevalence in children. Study selection, data extraction, and methodological quality assessment were performed independently by two reviewers in accordance with PRISMA guidelines. The review protocol was registered in PROSPERO (CRD42022345224). A total of 198 articles were included, corresponding to 201 independent epidemiological studies, as three articles reported results from two distinct study populations. The European Academy of Paediatric Dentistry (EAPD) criteria were used in 171 studies (75.7%), representing the most widely adopted diagnostic index. Other indices, including the modified Developmental Defects of Enamel index (mDDE), Mathu-Muju and Wright, Wetzel and Reckel, MIH Severity Scoring System (MIH-SSS), the MIH Treatment Need Index (MIH TNI) criteria, and FDI criteria, were used infrequently. Studies using EAPD criteria accounted for the largest cumulative sample size and showed a descriptively aggregated MIH prevalence of 12.9%, whereas prevalence estimates varied across alternative diagnostic indices. In conclusion, the lack of uniform diagnostic standards and nomenclature hampers global surveillance and limits the comparability of prevalence data. The adoption of MIH-specific diagnostic criteria, supported by adequate examiner calibration and transparent reporting, is essential to improve the quality, consistency, and interpretability of future epidemiological research.
11 May 2026
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