Evidence map›Paper›PMID 34319833›Full record

ArticleStatistical methods in medical research2021

Validity of a method for identifying disease subtypes that are etiologically heterogeneous.

Emily C Zabor, Venkatraman E Seshan, Shuang Wang, Colin B Begg

Open access · greenAbstract read
In one paragraph

Article in Statistical methods in medical research, 2021. 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
0.2field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Can We Interpret Analyses of Etiologic Heterogeneity When Molecular Markers Are Used to Classify Tumors?Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    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

4 authors at 3 institutions in 1 country.

Emily C ZaborDepartment of Quantitative Health Sciences & Taussig Cancer Institute, 2569Cleveland Clinic, Cleveland Clinic, Cleveland, OH, USA.ORCID 0000-0002-1402-4498
Venkatraman E SeshanDepartment of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Shuang WangDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
Colin B BeggDepartment of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Memorial Sloan Kettering Cancer Center · USCleveland Clinic · USColumbia University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Deep learning based predictive analytics to improve patient health.R01LM013061 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Krzysztof Kiryluk, CHUNHUA WENG · 2019 to 2026
$2.7M
Statistical Strategies for Establishing Etiologic Heterogeneity of TumorsR01CA163251 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BEGG, COLIN B · 2012 to 2015
$1.5M
Identification of Etiologically Distinct Sub-Types of Breast CancerR21CA167237 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BEGG, COLIN B, BERNSTEIN, JONINE L. · 2013 to 2014
$417k
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA163251NCI NIH HHS R21 CA167237NLM NIH HHS R01 LM013061
6 · The paper itself

Abstract

A focus of cancer epidemiologic research has become the identification of risk factors that influence specific subtypes of disease, a phenomenon known as etiologic heterogeneity. In previous work we developed a novel strategy to cluster tumor markers and identify disease subtypes that differ maximally with respect to known risk factors for use in the context of case-control studies. The method relies on the premise that unsupervised

Indexed as

Biomarkers, TumorBreast NeoplasmsCase-Control StudiesCluster AnalysisFemaleHumansRisk FactorsBiomarkers, TumorCancer epidemiologyclusteringdimension reductiondisease subtypesetiologic heterogeneitypolytomous logistic regression

Identifiers

PMID34319833
PMCPMC9425153
OpenAlexW3186767815

What OpenQuestion holds

Textmetadata
LicenceTDM
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.