Evidence map›Paper›PMID 26619806›Full record

ArticleStatistics in medicine2016

Statistical methods for studying disease subtype heterogeneity.

Molin Wang, Donna Spiegelman, Aya Kuchiba, Paul Lochhead, Sehee Kim, Andrew T Chan, Elizabeth M Poole, Rulla Tamimi, Shelley S Tworoger, Edward Giovannucci and 2 more

Abstract read
In one paragraph

Article in Statistics in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 200 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
200citing papers in PubMed, 3 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.

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

200 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Evaluation of Khat (Catha edulis) Use as a Risk Factor of Cancer: A Systematic Review.Asian Pacific journal of cancer prevention : APJCP · 2020
    Pooled it
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140 more citing papers are in PubMed but not listed here.

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

12 authors.

Molin WangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.
Donna SpiegelmanDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.
Aya KuchibaDepartment of Biostatistics, National Cancer Center, Tokyo, Japan.
Paul LochheadDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA, U.S.A.
Sehee KimDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, U.S.A.
Andrew T ChanChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, U.S.A.
Elizabeth M PooleChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, U.S.A.
Rulla TamimiDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.
Shelley S TworogerDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.
Edward GiovannucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.
Bernard RosnerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.ORCID http://orcid.org/0000-0001-6907-0056
Shuji OginoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, U.S.A.

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLETT, WALTER C. · 1991 to 2009
$41.8M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Inflammation and Colorectal NeoplasiaR01CA137178 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHAN, ANDREW T · 2009 to 2019
$6.5M
Accelerating Transdisciplinary Epidemiology of Colorectal CancerR35CA197735 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2015 to 2021
$6.0M
New Methods for the design and evaluation of large HIV prevention interventionsR01AI112339 · NIAID · YALE UNIVERSITY · PI SPIEGELMAN, DONNA L · 2014 to 2017
$2.7M
Epigenetic Events and Colorectal Cancer EpidemiologyR01CA151993 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2010 to 2014
$2.6M
NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA087969NCI NIH HHS P01 CA55075NCI NIH HHS P01 CA87969NCI NIH HHS R01 CA137178NCI NIH HHS R01 CA151993NCI NIH HHS R35 CA197735NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA186107NIAID NIH HHS R01 AI112339
6 · The paper itself

Abstract

A fundamental goal of epidemiologic research is to investigate the relationship between exposures and disease risk. Cases of the disease are often considered a single outcome and assumed to share a common etiology. However, evidence indicates that many human diseases arise and evolve through a range of heterogeneous molecular pathologic processes, influenced by diverse exposures. Pathogenic heterogeneity has been considered in various neoplasms such as colorectal, lung, prostate, and breast cancers, leukemia and lymphoma, and non-neoplastic diseases, including obesity, type II diabetes, glaucoma, stroke, cardiovascular disease, autism, and autoimmune disease. In this article, we discuss analytic options for studying disease subtype heterogeneity, emphasizing methods for evaluating whether the association of a potential risk factor with disease varies by disease subtype. Methods are described for scenarios where disease subtypes are categorical and ordinal and for cohort studies, matched and unmatched case-control studies, and case-case study designs. For illustration, we apply the methods to a molecular pathological epidemiology study of alcohol intake and colon cancer risk by tumor LINE-1 methylation subtypes. User-friendly software to implement the methods is publicly available.

Indexed as

Models, StatisticalPathology, MolecularCase-Control StudiesDiseaseHumansProspective Studiesheterogeneity testmolecular pathologic epidemiologyomicspathogenesispathology

Identifiers

PMID26619806
PMCPMC4728021

What OpenQuestion holds

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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.