Evidence map›Paper›PMID 37694179›Full record

ArticleThe Lancet regional health. Southeast Asia2023

Cost-effectiveness of population-based screening for oral cancer in India: an economic modelling study.

Pooja Dwivedi, Ayush Lohiya, Pankaj Bahuguna, Ankita Singh, Dahy Sulaiman, Manish Kumar Singh, Kavitha Rajsekar, Suliankatchi Abdulkader Rizwan

Open access · diamondAbstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% of its field
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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Accuracy of Cytological Methods in Early Detection of Oral Squamous Cell Carcinoma and Potentially Malignant Disorders: A Systematic Review and Meta-Analysis.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2025
    Pooled it
  3. Article
  4. Cost-Effectiveness of a Lifestyle and Behavioral Care Model Targeting Cardiometabolic Disease Progression.International journal of environmental research and public health · 2026
    Article
  5. Multicenter Clinical Validation of an Artificial Intelligence Diagnostic Classification Model for Laryngoscopy Images.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2026
    Article
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  11. Review
  12. Democratizing cancer detection: artificial intelligence-enhanced endoscopy could address global disparities in head and neck cancer outcomes.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    Review
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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

8 authors at 5 institutions in 2 countries.

Pooja DwivediDepartment of Public Health, Health Technology Assessment, Kalyan Singh Super Specialty Cancer Institute, Lucknow, India.
Ayush LohiyaDepartment of Public Health, Health Technology Assessment, Kalyan Singh Super Specialty Cancer Institute, Lucknow, India.
Pankaj BahugunaDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Ankita SinghDepartment of Public Health, Health Technology Assessment, Kalyan Singh Super Specialty Cancer Institute, Lucknow, India.
Dahy SulaimanDepartment of Public Health, Health Technology Assessment, Kalyan Singh Super Specialty Cancer Institute, Lucknow, India.
Manish Kumar SinghDepartment of Community Medicine, Dr Ram Manohar Lohia Institute of Medical Sciences, Lucknow, India.
Kavitha RajsekarDepartment of Health Research, Ministry of Family and Health Welfare, Government of India, New Delhi, India.
Suliankatchi Abdulkader RizwanICMR-National Institute of Epidemiology, Chennai, India.
Cancer Institute (WIA) · INDr. Ram Manohar Lohia Institute of Medical Sciences · INGovernment of India · INNational Institute of Epidemiology · INPost Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Oral cancer screening reduces mortality associated with oral cancer. The current study evaluated the cost-effectiveness of commonly used screening techniques, namely conventional oral examination (COE), toluidine blue staining (TBS), oral cytology (OC), and light-based detection (LBD) in the Indian scenario. Methods: The study used a Markov modelling approach to estimate the cost and health outcomes of four different approaches (COE, TBS, OC, and LBD) for screening oral cancer over time from a societal perspective. The discount rate was assumed as 3%. The outcomes estimated were oral cancer incident cases, deaths averted, and quality-adjusted life years (QALYs). To address the high burden of risk factors (tobacco and/or alcohol) in India, two Markov models were developed: Model A adopted a mass-screening strategy, whereas Model B adopted a high-risk screening strategy versus no screening. Probabilistic sensitivity analysis (PSA) was undertaken to address any parameter uncertainty. Findings: Mass-screening using LBD at three years had the least incident cases (3271.68) and averted the maximum number of oral cancer deaths (459.76). High-risk screening using COE at ten years interval incurred the least lifetime cost of 2,292,816.21 US$ (182,794,468.26 INR). The high-risk strategies (US$/QALY), namely COE 5 years (-29.21), COE 10 years (-90.68), TBS 10 years (-60.54), and LBD 10 years (-13.51), were dominant over no-screening. Interpretation: The most cost-saving approach was the conventional oral examination at an interval of 10 years for oral screening in high-risk populations above 30 years of age. Funding: Department of Health Research, Ministry of Health & Family Welfare, Government of India.

Indexed as

Cost-effectiveness analysisHealth system costHigh-risk screeningMarkov modelMass screeningOral cancerOral screeningOut-of-pocket expenditure

Identifiers

PMID37694179
PMCPMC10485781
OpenAlexW4379229969

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.