Evidence map›Paper›PMID 26150446›Full record

ReviewJournal of clinical oncology : official journal of the American Society of Clinical Oncology2015

Bias Correction Methods Explain Much of the Variation Seen in Breast Cancer Risks of BRCA1/2 Mutation Carriers.

Janet R Vos, Li Hsu, Richard M Brohet, Marian J E Mourits, Jakob de Vries, Kathleen E Malone, Jan C Oosterwijk, Geertruida H de Bock

Abstract readReview
In one paragraph

Review in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

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  9. Review
  10. An alternative approach to establishing unbiased colorectal cancer risk estimation in Lynch syndrome.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  11. A Pragmatic Testing-Eligibility Framework for Population Mutation Screening: The Example ofCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  12. Article
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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

8 authors at 1 institution in 1 country.

Janet R VosJanet R. Vos, Marian J.E. Mourits, Jakob de Vries, Jan C. Oosterwijk, and Geertruida H. de Bock, University of Groningen, University Medical Center Groningen, Groningen; Richard M. Brohet, Spaarne Hospital, Hoofddorp, the Netherlands; and Li Hsu and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA. j.r.vos01@umcg.nl.
Li HsuJanet R. Vos, Marian J.E. Mourits, Jakob de Vries, Jan C. Oosterwijk, and Geertruida H. de Bock, University of Groningen, University Medical Center Groningen, Groningen; Richard M. Brohet, Spaarne Hospital, Hoofddorp, the Netherlands; and Li Hsu and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA.
Richard M BrohetJanet R. Vos, Marian J.E. Mourits, Jakob de Vries, Jan C. Oosterwijk, and Geertruida H. de Bock, University of Groningen, University Medical Center Groningen, Groningen; Richard M. Brohet, Spaarne Hospital, Hoofddorp, the Netherlands; and Li Hsu and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA.
Marian J E MouritsJanet R. Vos, Marian J.E. Mourits, Jakob de Vries, Jan C. Oosterwijk, and Geertruida H. de Bock, University of Groningen, University Medical Center Groningen, Groningen; Richard M. Brohet, Spaarne Hospital, Hoofddorp, the Netherlands; and Li Hsu and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA.
Jakob de VriesJanet R. Vos, Marian J.E. Mourits, Jakob de Vries, Jan C. Oosterwijk, and Geertruida H. de Bock, University of Groningen, University Medical Center Groningen, Groningen; Richard M. Brohet, Spaarne Hospital, Hoofddorp, the Netherlands; and Li Hsu and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA.
Kathleen E MaloneJanet R. Vos, Marian J.E. Mourits, Jakob de Vries, Jan C. Oosterwijk, and Geertruida H. de Bock, University of Groningen, University Medical Center Groningen, Groningen; Richard M. Brohet, Spaarne Hospital, Hoofddorp, the Netherlands; and Li Hsu and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA.
Jan C OosterwijkJanet R. Vos, Marian J.E. Mourits, Jakob de Vries, Jan C. Oosterwijk, and Geertruida H. de Bock, University of Groningen, University Medical Center Groningen, Groningen; Richard M. Brohet, Spaarne Hospital, Hoofddorp, the Netherlands; and Li Hsu and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA.
Geertruida H de BockJanet R. Vos, Marian J.E. Mourits, Jakob de Vries, Jan C. Oosterwijk, and Geertruida H. de Bock, University of Groningen, University Medical Center Groningen, Groningen; Richard M. Brohet, Spaarne Hospital, Hoofddorp, the Netherlands; and Li Hsu and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA.
University Medical Center Groningen · NL

Funding

Use of Biomarkers in Diagnosis, Prognosis, Risk Prediction and Early Detection ofP01CA053996 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HSU, LI · 1991 to 2015
$9.4M
NCI NIH HHS P01 CA053996
6 · The paper itself

Abstract

purposeRecommendations for treating patients who carry a BRCA1/2 gene are mainly based on cumulative lifetime risks (CLTRs) of breast cancer determined from retrospective cohorts. These risks vary widely (27% to 88%), and it is important to understand why. We analyzed the effects of methods of risk estimation and bias correction and of population factors on CLTRs in this retrospective clinical cohort of BRCA1/2 carriers. PATIENTS AND

methodsThe following methods to estimate the breast cancer risk of BRCA1/2 carriers were identified from the literature: Kaplan-Meier, frailty, and modified segregation analyses with bias correction consisting of including or excluding index patients combined with including or excluding first-degree relatives (FDRs) or different conditional likelihoods. These were applied to clinical data of BRCA1/2 families derived from our family cancer clinic for whom a simulation was also performed to evaluate the methods. CLTRs and 95% CIs were estimated and compared with the reference CLTRs.

resultsCLTRs ranged from 35% to 83% for BRCA1 and 41% to 86% for BRCA2 carriers at age 70 years width of 95% CIs: 10% to 35% and 13% to 46%, respectively). Relative bias varied from -38% to +16%. Bias correction with inclusion of index patients and untested FDRs gave the smallest bias: +2% (SD, 2%) in BRCA1 and +0.9% (SD, 3.6%) in BRCA2.

conclusionMuch of the variation in breast cancer CLTRs in retrospective clinical BRCA1/2 cohorts is due to the bias-correction method, whereas a smaller part is due to population differences. Kaplan-Meier analyses with bias correction that includes index patients and a proportion of untested FDRs provide suitable CLTRs for carriers counseled in the clinic.

Indexed as

HeterozygoteMutationAdultAgedBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsFemaleGenetic Predisposition to DiseaseHumansKaplan-Meier EstimateMiddle AgedObserver VariationRetrospective StudiesRisk AssessmentBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, human

Identifiers

PMID26150446
PMCPMC4979233
OpenAlexW2114484488

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.