Evidence map›Paper›PMID 33449824›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2021

Risk-Based Selection of Individuals for Oral Cancer Screening.

Li C Cheung, Kunnambath Ramadas, Richard Muwonge, Hormuzd A Katki, Gigi Thomas, Barry I Graubard, Partha Basu, Rengaswamy Sankaranarayanan, Thara Somanathan, Anil K Chaturvedi

Registry-linked trialAbstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06231537 (Visual Oral Examination in Primary Health Care for Early Detection of Oral Cancer), which is not on this map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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.

NCT06231537 nacompletednot on this mapstarted 2023, after this paper: background citation

Visual Oral Examination in Primary Health Care for Early Detection of Oral Cancer: Targeting High-Risk Individuals in the Municipality of Rio de Janeiro

TypeinterventionalSponsorUniversidade Federal do Rio de JaneiroRan2023 to 2024Enrolled1,152ConditionsMouth NeoplasmsArmsVisual oral examination
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Predictors of Lesion Detection in a 12-Year Oral Cancer Screening Program: A Cohort Study in Northern Portugal.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Li C CheungDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD.ORCID 0000-0003-1625-4331
Kunnambath RamadasDepartment of Radiation Oncology, Regional Cancer Centre, Thiruvananthapuram, India.ORCID 0000-0002-6214-6641
Richard MuwongeInternational Agency for Research on Cancer, Lyon, France.ORCID 0000-0002-3448-0503
Hormuzd A KatkiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD.
Gigi ThomasRegional Cancer Centre, Thiruvananthapuram, India.ORCID 0000-0003-2769-0083
Barry I GraubardDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD.
Partha BasuInternational Agency for Research on Cancer, Lyon, France.ORCID 0000-0003-0124-4050
Rengaswamy SankaranarayananInternational Agency for Research on Cancer, Lyon, France.
Thara SomanathanRegional Cancer Centre, Thiruvananthapuram, India.
Anil K ChaturvediClinical Epidemiology Unit, Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD.

Funding

World Health Organization 001
6 · The paper itself

Abstract

purposeWe evaluated proof of principle for resource-efficient, risk-based screening through reanalysis of the Kerala Oral Cancer Screening Trial.

methodsThe cluster-randomized trial included three triennial rounds of visual inspection (seven clusters, n = 96,516) versus standard of care (six clusters, n = 95,354) and up to 9 years of follow-up. We developed a Cox regression-based risk prediction model for oral cancer incidence. Using this risk prediction model to adjust for the oral cancer risk imbalance between arms, through intention-to-treat (ITT) analyses that accounted for cluster randomization, we calculated the relative (hazard ratios [HRs]) and absolute (rate differences [RDs]) screening efficacy on oral cancer mortality and compared screening efficiency across risk thresholds.

resultsOral cancer mortality was reduced by 27% in the screening versus control arms (HR = 0.73; 95% CI, 0.54 to 0.98), including a 29% reduction in ever-tobacco and/or ever-alcohol users (HR = 0.71; 95% CI, 0.51 to 0.99). This relative efficacy was similar across oral cancer risk quartiles (

conclusionIn the Kerala trial, the efficacy of oral cancer screening was greatest in individuals at highest oral cancer risk. These results provide proof of principle that risk-based oral cancer screening could substantially enhance the efficiency of screening programs.

Indexed as

AdultAgedAged, 80 and overEarly Detection of CancerFemaleHumansIncidenceMaleMass ScreeningMiddle AgedMouth NeoplasmsSurvival Analysis

Identifiers

PMID33449824
PMCPMC8189638

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