SynthesisBMC oral health2025
Glutathione S-transferase M1 and T1 null polymorphisms and risk of oral submucous fibrosis: a meta-analysis of South Asian populations.
Synthesis in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review and network meta-analysis of single nucleotide polymorphisms associated with oral submucous fibrosis risk.Medicine · 2026Pooled it
- Transcriptomic Profiling Identifies a Distinct Molecular Signature in OSMF-Derived Oral Squamous Cell Carcinoma.Life (Basel, Switzerland) · 2026Article
- Systematic evaluation of genetic polymorphisms in carcinogen metabolizing enzymes associated with oral potentially malignant disorders progression to oral cancer risk.Journal of dental sciences · 2026Article
- Systematic evaluation of genetic polymorphisms in carcinogen metabolizing enzymes associated with the risk of oral potentially malignant disorders occurrence.Journal of dental sciences · 2026Article
- Oral submucosal fibrosis: a comprehensive review on pathogenesis, diagnosis, therapeutics and computational advances.Frontiers in cell and developmental biology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOral submucous fibrosis (OSMF) is a precancerous condition prevalent in individuals who habitually consume areca nut products. While environmental risk factors play a significant role in OSMF, genetic predisposition-particularly involving glutathione S-transferase (GST) gene deletions-may influence susceptibility. This meta-analysis aimed to evaluate the association between GSTM1-null and GSTT1-null genotypes and the risk of OSMF.
methodsRelevant databases were systematically searched up to April 2025. Two reviewers independently extracted data, and analyses were performed using Meta Analyst software. Forest plots presented pooled odds ratios (OR) with 95% confidence intervals (CI). Heterogeneity, sensitivity, and publication bias were assessed using funnel plots and Egger's tests.
resultsTwelve studies involving 4484 participants (1925 cases, 2559 controls) were included. The GSTM1-null genotype significantly increased OSMF risk (OR = 1.46, 95% CI: 1.08-1.97), as did the GSTT1-null genotype (OR = 1.97, 95% CI: 1.08-3.60). Sensitivity analyses confirmed robust findings, and publication bias was minimal. Subgroup analyses revealed that larger sample sizes and higher areca nut exposure amplified the observed associations.
conclusionsThis meta-analysis underscores the role of GST polymorphisms in OSMF pathogenesis, highlighting their potential in risk stratification and early detection strategies. Future research should explore gene-environment interactions and include multi-ethnic cohorts to generalize findings.
trial registrationCRD42024628773.
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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.