Evidence map›Paper›PMID 33301022›Full record

ArticleJournal of the National Cancer Institute2021

Comparing 5-Year and Lifetime Risks of Breast Cancer using the Prospective Family Study Cohort.

Robert J MacInnis, Julia A Knight, Wendy K Chung, Roger L Milne, Alice S Whittemore, Richard Buchsbaum, Yuyan Liao, Nur Zeinomar, Gillian S Dite, Melissa C Southey and 11 more

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
  2. Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
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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

21 authors.

Robert J MacInnisCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.ORCID 0000-0002-1627-5047
Julia A KnightLunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.
Wendy K ChungHerbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA.
Roger L MilneCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.ORCID 0000-0001-5764-7268
Alice S WhittemoreDepartment of Health Research and Policy and of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.
Richard BuchsbaumDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
Yuyan LiaoDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Nur ZeinomarDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Gillian S DiteCentre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-2448-2548
Melissa C SoutheyCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
David GoldgarDepartment of Dermatology and Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT, USA.
Graham G GilesCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Allison W KurianDepartment of Medicine and Epidemiology and Population Health, Stanford University, Stanford, CA, USA.
kConFab Investigators
Irene L AndrulisLunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.
Esther M JohnDepartment of Epidemiology & Population Health and Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
Mary B DalyDepartment of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA.
Saundra S BuysDepartment of Medicine and Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT, USA.
Kelly-Anne PhillipsCentre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-0475-1771
John L HopperCentre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia.
Mary Beth TerryHerbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Core-001U01CA164920 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Irene Andrulis, Sarah Violet Colonna · 2018 to 2026
$17.0M
Breast Cancer Family Registry CohortUM1CA164920 · NCI · CANCER PREVENTION INSTIT OF CALIFORNIA · PI ANDRULIS, IRENE, BUYS, SAUNDRA S · 2012 to 2017
$12.7M
Genes, environment and breast cancer risk: The 15 year follow-up of the Prof-SC (Diversity Supplement)R01CA159868 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HOPPER, JOHN L, TERRY, MARY BETH · 2011 to 2015
$9.0M
NCATS NIH HHS UL1 TR001863NCATS NIH HHS UL1 TR002538NCI NIH HHS R01 CA159868NCI NIH HHS U01 CA164920NCI NIH HHS UM1 CA164920
6 · The paper itself

Abstract

backgroundClinical guidelines often use predicted lifetime risk from birth to define criteria for making decisions regarding breast cancer screening rather than thresholds based on absolute 5-year risk from current age.

methodsWe used the Prospective Family Cohort Study of 14 657 women without breast cancer at baseline in which, during a median follow-up of 10 years, 482 women were diagnosed with invasive breast cancer. We examined the performances of the International Breast Cancer Intervention Study (IBIS) and Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) risk models when using the alternative thresholds by comparing predictions based on 5-year risk with those based on lifetime risk from birth and remaining lifetime risk. All statistical tests were 2-sided.

resultsUsing IBIS, the areas under the receiver-operating characteristic curves were 0.66 (95% confidence interval = 0.63 to 0.68) and 0.56 (95% confidence interval = 0.54 to 0.59) for 5-year and lifetime risks, respectively (Pdiff < .001). For equivalent sensitivities, the 5-year incidence almost always had higher specificities than lifetime risk from birth. For women aged 20-39 years, 5-year risk performed better than lifetime risk from birth. For women aged 40 years or older, receiver-operating characteristic curves were similar for 5-year and lifetime IBIS risk from birth. Classifications based on remaining lifetime risk were inferior to 5-year risk estimates. Results were similar using BOADICEA.

conclusionsOur analysis shows that risk stratification using clinical models will likely be more accurate when based on predicted 5-year risk compared with risks based on predicted lifetime and remaining lifetime, particularly for women aged 20-39 years.

Indexed as

Breast NeoplasmsAdultCohort StudiesFemaleHumansProspective StudiesRisk AssessmentRisk FactorsROC CurveYoung Adult

Identifiers

PMID33301022
PMCPMC8168075

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.