Evidence map›Paper›PMID 28833074›Full record

Trial reportInternational journal of cancer2017

Methodological considerations for disentangling a risk factor's influence on disease incidence versus postdiagnosis survival: The example of obesity and breast and colorectal cancer mortality in the Women's Health Initiative.

Elizabeth M Cespedes Feliciano, Ross L Prentice, Aaron K Aragaki, Marian L Neuhouser, Hailey R Banack, Candyce H Kroenke, Gloria Y F Ho, Oleg Zaslavsky, Howard D Strickler, Ting-Yuan David Cheng and 5 more

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

15 authors at 10 institutions in 2 countries.

Elizabeth M Cespedes FelicianoDivision of Research, Oakland, Kaiser Permanente Northern California, CA.ORCID 0000-0003-1192-4017
Ross L PrenticeDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA.
Aaron K AragakiDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA.
Marian L NeuhouserDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA.
Hailey R BanackDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY.
Candyce H KroenkeDivision of Research, Oakland, Kaiser Permanente Northern California, CA.
Gloria Y F HoDepartment of Occupational Medicine, Epidemiology & Prevention, Feinstein Institute for Medical Research, Hofstra Northwell School of Medicine, Great Neck, NY.
Oleg ZaslavskyNursing & Health Systems, University of Washington, Seattle, WA.
Howard D StricklerDepartment of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY.ORCID 0000-0002-7692-6147
Ting-Yuan David ChengDepartment of Epidemiology, University of Florida, Gainesville, FL.
Rowan T ChlebowskiCity of Hope National Medical Center, Duarte, CA.
Nazmus SaquibDepartment of Epidemiology, Sulaiman AlRajhi College, School of Medicine, Saudi Arabia.
Rami NassirDepartment of Biochemistry & Molecular Medicine, University of California Davis, Davis, CA.
Garnet AndersonDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA.
Bette J CaanDivision of Research, Oakland, Kaiser Permanente Northern California, CA.
Fred Hutch Cancer Center · USKaiser Permanente · USAlbert Einstein College of Medicine · USCity Of Hope National Medical Center · USFeinstein Institute for Medical Research · USSulaiman Al Rajhi Colleges · SAUniversity at Buffalo, State University of New York · USUniversity of California, Davis · USUniversity of Florida · USUniversity of Washington · US

Funding

Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Sakeneh Zraika · 1986 to 2026
$41.4M
Women's Health Initiative Cancer Survivor CohortUM1CA173642 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ANDERSON, GARNET L., CAAN, BETTE J · 2013 to 2018
$12.1M
Body Composition, Weight, and Colon Cancer SurvivalR01CA175011 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CAAN, BETTE J · 2013 to 2017
$3.1M
(PQA2) Exploring the role of sarcopenia in obesity and breast cancer survivalR01CA184953 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CAAN, BETTE J · 2014 to 2017
$2.5M
mTOR pathway in breast cancer subtypes by race: A molecular pathological studyK07CA201334 · NCI · UNIVERSITY OF FLORIDA · PI CHENG, TING-YUAN · 2016 to 2020
$693k
NCI NIH HHS K07 CA201334NCI NIH HHS R01 CA175011NCI NIH HHS R01 CA184953NCI NIH HHS UM1 CA173642NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100003INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNHLBI NIH HHS HHSN268201600018CNIA NIH HHS HHSN271201100004CNIDDK NIH HHS P30 DK017047WHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

Often, studies modeling an exposure's influence on time to disease-specific death from study enrollment are incorrectly interpreted as if based on time to death from disease diagnosis. We studied 151,996 postmenopausal women without breast or colorectal cancer in the Women's Health Initiative with weight and height measured at enrollment (1993-1998). Using Cox regression models, we contrast hazard ratios (HR) from two time-scales and corresponding study subpopulations: time to cancer death after enrollment among all women and time to cancer death after diagnosis among only cancer survivors. Median follow-up from enrollment to diagnosis/censoring was 13 years for both breast (7,633 cases) and colorectal cancer (2,290 cases). Median follow-up from diagnosis to death/censoring was 7 years for breast and 5 years for colorectal cancer. In analyses of time from enrollment to death, body mass index (BMI) ≥ 35 kg/m

Indexed as

Epidemiologic MethodsAgedBreast NeoplasmsColorectal NeoplasmsFemaleHumansIncidenceMiddle AgedModels, StatisticalObesityProportional Hazards ModelsRisk Factorsbreast cancercolorectal cancermethodsmortalityobesitysurvival

Identifiers

PMID28833074
PMCPMC5761345
OpenAlexW2745485915

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.