Evidence map›Paper›PMID 40851791›Full record

ArticleMDM policy & practice

Simulation Modeling of Oral Cancer Development with Risk Stratification: How Potential Screening Programs Can Be Evaluated.

Mutita Siriruchatanon, Emily R Brooks, Alexander R Kerr, Denise M Laronde, Miriam P Rosin, Stella K Kang

Abstract read
In one paragraph

Article in MDM policy & practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Mutita SiriruchatanonDepartment of Radiology, New York University Grossman School of Medicine, New York, NY, USA.ORCID https://orcid.org/0000-0002-1751-9314
Emily R BrooksDepartment of Radiology, New York University Grossman School of Medicine, New York, NY, USA.
Alexander R KerrDepartment of Oral and Maxillofacial Pathology, Radiology, and Medicine, New York University College of Dentistry, New York, NY, USA.
Denise M LarondeDepartment of Oral Biological and Medical Sciences, University of British Columbia, Vancouver, BC, Canada.
Miriam P RosinDepartment of Cancer Control Research, British Columbia Cancer Research Centre, Vancouver, Canada.
Stella K KangDepartment of Radiology, New York University Grossman School of Medicine, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highlights: A new oral cancer simulation model with risk factors including degrees of smoking and alcohol exposure, oral lesion features, and sex incorporates more accurate and precise representation of patient risk categories.We evaluated screening strategies for oral potentially malignant disorders with or without risk-stratified biopsy referral in both the general population and subpopulations defined by degrees of smoking and alcohol exposure.Men with a high degree of both smoking and alcohol exposure exhibited a significant reduction in cancer-specific deaths and cancer incidence from screening programs for oral potentially malignant disorders.Screening with risk-stratified biopsy, using a surgical treatment threshold of moderate dysplasia or worse, yielded the greatest efficiency in term of biopsies needed to detect 1 treatable case.

Indexed as

decision analysismicrosimulationOPMDoral cavity canceroral dysplasiaoral potentially malignant disorders

Identifiers

PMID40851791
PMCPMC12368318

What OpenQuestion holds

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LicenceCC BY-NC
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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.