ArticleFrontiers in oral health2026
Risk prediction models for oral squamous cell carcinoma and oral potentially malignant disorders in Asian populations: a systematic review and meta-analysis.
Article in Frontiers in oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Oral squamous cell carcinoma (OSCC) and oral potentially malignant disorders (OPMDs) represent a substantial public health burden across Asia, where tobacco use, betel quid chewing, and alcohol consumption are prevalent risk factors. Numerous multivariable risk prediction models have been developed to support early detection and targeted screening; however, their accuracy and applicability in Asian populations remain unclear. This study evaluated the diagnostic performance, methodological quality, and clinical readiness of OSCC/OPMD risk prediction models developed or validated in Asian settings. Methods: Following PRISMA and PRISMA-DTA guidelines, a comprehensive search of PubMed, Embase, Cochrane Library, Scopus, Google Scholar and grey literature was conducted for studies published from January 2000 to December 2025. Eligible studies included multivariable prediction models developed or validated among asymptomatic adults in Asian countries. Data extraction and PROBAST risk-of-bias assessments were completed independently by two reviewers. Hierarchical summary receiver operating characteristic (HSROC) modelling was used to pool sensitivity and specificity, with heterogeneity explored using meta-regression. Publication bias was assessed using Deeks' test. All analyses were performed in RStudio. Results: Eleven studies met the inclusion criteria, and seven contributed to the meta-analysis. Pooled sensitivity was 0.84 (95% CI: 0.78-0.89), and pooled specificity was 0.80 (95% CI: 0.67-0.89), demonstrating strong case-detection performance with acceptable false-positive rates. Substantial heterogeneity was observed (sensitivity I Conclusion: Risk prediction models for OSCC and OPMDs in Asian populations demonstrate favourable diagnostic performance; however, substantial heterogeneity and methodological limitations warrant cautious interpretation before clinical implementation. Future research should prioritise large-scale external validations, improved calibration reporting, and harmonised risk thresholds to enhance regional applicability for risk-based oral cancer screening. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/search.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.