Evidence map›Paper›PMID 34232831›Full record

ArticleStatistical methods in medical research2021

A competing risks model with binary time varying covariates for estimation of breast cancer risks in

Yun-Hee Choi, Hae Jung, Saundra Buys, Mary Daly, Esther M John, John Hopper, Irene Andrulis, Mary Beth Terry, Laurent Briollais

Abstract read
PubMed Full text at PMC Publisher
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 7 institutions in 3 countries.

Yun-Hee ChoiDepartment of Epidemiology and Biostatistics, Western University, London, Canada.ORCID 0000-0002-5533-509X
Hae JungDepartment of Epidemiology and Biostatistics, Western University, London, Canada.
Saundra BuysHealth Sciences Center, University of Utah, Salt Lake City, UT, USA.
Mary DalyFox Chase Cancer Center, Philadelphia, PA, USA.
Esther M JohnSchool of Medicine, Stanford University, Stanford, CA, USA.
John HopperSchool of Population and Global Health, The University of Melbourne, Carlton, Australia.
Irene AndrulisLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada.
Mary Beth TerryMailman School of Public Health, Columbia University, New York, NY, USA.
Laurent BriollaisLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada.ORCID 0000-0001-5741-9812
Mount Sinai Hospital · CAWestern University · CAColumbia University · USFox Chase Cancer Center · USStanford University · USThe University of Melbourne · AUUniversity of Utah · US

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Breast Cancer Family Registry CohortUM1CA164920 · NCI · CANCER PREVENTION INSTIT OF CALIFORNIA · PI ANDRULIS, IRENE, BUYS, SAUNDRA S · 2012 to 2017
$12.7M
CIHR 43821CIHR MOP 110053CIHR MOP 126186NCATS NIH HHS UL1 TR002538NCI NIH HHS UM1 CA164920
6 · The paper itself

Abstract

Mammographic screening and prophylactic surgery such as risk-reducing salpingo oophorectomy can potentially reduce breast cancer risks among mutation carriers of

Indexed as

Breast NeoplasmsGenetic Predisposition to DiseaseOvarian NeoplasmsBRCA1 ProteinFemaleHumansMutationRiskBRCA1 ProteinBRCA1 protein, humanBRCA familiesBreast and ovarian cancerscompeting riskscorrelated frailty modelpenetrancerisk-reducing salpingo oophorectomytime-varying covariate

Identifiers

PMID34232831
PMCPMC8424615
OpenAlexW3178431826

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.