Evidence map›Paper›PMID 39090612›Full record

ArticleBMC cancer2024

Development and validation of betel-year: a clinical tool for quantifying exposure to betel quid chewing, utilizing nuclear morphometric analysis and validated by cytomorphological analysis.

Hamrish Kumar Rajakumar, Varsha Coimbatore Sathyabal, Kolsamma Nasrin Jabarulla, Pushpa Balamurugesan

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Role ofCancer pathogenesis and therapy · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hamrish Kumar RajakumarGovernment Medical College, Omandurar, Government Estate, Chennai, Tamilnadu, 600 002, India. hamrishkumar2003@gmail.com.
Varsha Coimbatore SathyabalGovernment Medical College, Omandurar, Government Estate, Chennai, Tamilnadu, 600 002, India.
Kolsamma Nasrin JabarullaDepartment of Pathology, Government Medical College, Omandurar, Government Estate, Chennai, Tamilnadu, 600 002, India.
Pushpa BalamurugesanDepartment of Pathology, Government Medical College, Omandurar, Government Estate, Chennai, Tamilnadu, 600 002, India. raja_pushpa@yahoo.co.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBetel quid chewing, prevalent in Southeast Asia and South Asia, involves components such as betel leaf, areca nut, slaked lime, and sometimes tobacco. This study aims to assess buccal mucosa changes in betel quid chewers, develop a clinical tool for assessing exposure, and investigate its usability in predicting dysplasia.

methodsAfter obtaining ethical approval and informed consent, patients were recruited from the Out-Patient Department of Government Medical College, Omandurar, Government Estate, India. A target sample size of 200 was calculated. The data included the history of betel quid chewing, buccal mucosa cells obtained by oral cytology, and the severity of dysplasia of the slides assessed by pathologists. We utilized principal component analysis (PCA) and confirmatory factor analysis (CFA) to validate a new outcome variable reflecting nuclear morphometric parameters (NMPs). Multiplicative regression models were developed for betel years based on betel exposure and additives. Spearman correlation and Kruskal-Wallis test was used to check the association between betel years and dysplasia.

resultsSignificant differences in NMPs were observed among different betel chewing groups. We derived multiplicative regression models for betel years. In the logarithmic transformation approach, betel year = 0.05×betel-exposure×0.09×slaked-lime use×0.11×tobacco-use. In the original variable approach, betel year = 5.05×betel-exposure^0.00048×slaked-lime-use^0.18133×tobacco-use^1.47513. Spearman correlation and Kruskal-Wallis tests confirmed associations with dysplasia.

conclusionBetel year is a pioneering tool for assessing lifetime betel quid exposure, similar to pack years for smoking. It could aid in risk stratification, targeted interventions and shaping public health policies. Despite limitations, betel year holds promise for revolutionizing oral health risk assessment, and future research can expand its scope globally, considering diverse betel quid compositions.

Indexed as

ArecaMasticationMouth MucosaAdultFemaleHumansIndiaMaleMiddle AgedPrincipal Component AnalysisBetel yearClinical quantification toolCytomorphological analysisNuclear morphometryOral cancerRisk assesment

Identifiers

PMID39090612
PMCPMC11293172

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Registered trials

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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.