Evidence map›Paper›PMID 42389561›Full record

ArticleEcancermedicalscience2026

Disparities in oral cancer screening among Indian women aged 30-49: insights from a national survey.

Navjot Kaur, Pritam Halder, Yuvaraj Krishnamoorthy, Gursimer Jeet, Garima Bhatt, Sathish Rajaa, Priyanka Sudhir, Rohit Sharma, Sarthak Tandon, Manish Gupta

Abstract read
In one paragraph

Article in Ecancermedicalscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Decomposing Oral Cancer Screening Inequalities Across Wealth Index among Indian Women Aged 30-49 Years: Findings From National Family Health Survey-5.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
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

10 authors.

Navjot KaurOtorhinolaryngology and Head Neck Surgery, Dr B R Ambedkar State Institute of Medical Sciences (AIMS, Mohali), Sector 56 A, SAS Nagar, Punjab 160055, India.
Pritam HalderDepartment of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
Yuvaraj KrishnamoorthyEvidence Synthesis Unit, Partnership for Research, Opportunities, Planning, Upskilling and Leadership (PROPUL) Evidence, Chennai 600099, India.
Gursimer JeetVancouver, V6M1T5, Canada.
Garima BhattDepartment of Health Sciences, University of York, YO10 5DD York, UK.
Sathish RajaaDepartment of Community Medicine, ESIC Medical College & PGIMSR, K.K. Nagar, Chennai 600078, India.
Priyanka SudhirSacramento, CA, USA.
Rohit SharmaAl Muhaidb Dental Clinic, Jazan 82724, Saudi Arabia.
Sarthak TandonDepartment of Radiation Oncology, Rajiv Gandhi Cancer Institute and Research Centre, Delhi 110085, India.
Manish GuptaOtorhinolaryngology and Head Neck Surgery, Dr B R Ambedkar State Institute of Medical Sciences (AIMS, Mohali), Sector 56 A, SAS Nagar, Punjab 160055, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Oral cancer estimates are concerning in India, with inequalities in accessing screening services, especially in rural areas. Socioeconomic characteristics contribute to disparities in screening coverage. The current study estimates the coverage of self-reported screening, spatial patterns, differences in screening rates in urban and rural areas and determinants of screening among Indian women. Methodology: We analysed data from 348,882 women (30-49 years) participating in India's fifth wave of the National Family Health Survey (NFHS-5). Self-reported oral cancer screening weighted coverage was estimated and compared per socio-demographic characteristics. Global and local spatial autocorrelation methods were applied to understand the spatial distribution of screening coverage, which was then depicted using choropleth maps. The differences in urban-rural screening were decomposed and determinants of screening were identified using the multivariable binary logistic regression. Analysis was done using Stata v17.0. Results: Overall, at the national level, self-reported screening coverage was 0.87%, with higher rates in urban areas (1.08%) compared to rural areas (0.77%). Screening uptake increased with age, socioeconomic status and education. Scheduled Tribes and the poorest quintile had the lowest rates. 348,882 participants were included in the final analysis after all exclusions. The uptake of oral cancer screening increased with an increase in wealth Index (Middle: adjusted odds ratio: 1.35; 95% CI: 1.07-1.70), Richer (1.43; 1.12-1.84), Richest (1.60; 1.20-2.13) and in obese women (1.28; 1.02-1.63). Meanwhile, women who belonged to the Muslim religion (0.68; 95% CI: 0.56-0.84), scheduled tribes (0.70; 95% CI: 0.53-0.84) and those who were illiterate (0.66; 0.51-0.85) had lower odds of screening uptake. Women from South Indian states (9.58; 95% CI: 7.60-12.07), West Indian states (3.81; 95% CI: 2.88-5.04), Central India (2.48; 95% CI: 1.95-3.14) and North-east Indian states (1.65; 95% CI: 1.20-2.27) had higher odds of oral cancer screening uptake compared to North Indian states. The urban-rural gap was 57.76% due to factor distribution and 42.24% due to differences in factor effects. Religion, caste, education and media exposure all significantly contributed to the gap. Conclusion: Screening uptake varied according to socio-economic status and region of the country. Significant disparities in oral cancer screening exist among urban and rural women, driven by socioeconomic factors. Enhancing healthcare access, education and media outreach in rural areas is essential to improving screening rates and reducing disparities.

Indexed as

disparitiesinaccessibilityinequalities in healthnational surveyoral cancerwomen’s health

Identifiers

PMID42389561
PMCPMC13319343

What OpenQuestion holds

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LicenceCC BY
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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.