Evidence map›Paper›PMID 31853515›Full record

ArticleJNCI cancer spectrum2019

Accuracy of Risk Estimates from the iPrevent Breast Cancer Risk Assessment and Management Tool.

Kelly-Anne Phillips, Yuyan Liao, Roger L Milne, Robert J MacInnis, Ian M Collins, Richard Buchsbaum, Prue C Weideman, Adrian Bickerstaffe, Stephanie Nesci, Wendy K Chung and 16 more

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

26 authors.

Kelly-Anne PhillipsSee the Notes section for the full list of authors' affiliations.ORCID 0000-0002-0475-1771
Yuyan LiaoSee the Notes section for the full list of authors' affiliations.
Roger L MilneSee the Notes section for the full list of authors' affiliations.ORCID 0000-0001-5764-7268
Robert J MacInnisSee the Notes section for the full list of authors' affiliations.
Ian M CollinsSee the Notes section for the full list of authors' affiliations.ORCID 0000-0001-6936-0942
Richard BuchsbaumSee the Notes section for the full list of authors' affiliations.
Prue C WeidemanSee the Notes section for the full list of authors' affiliations.ORCID 0000-0002-3672-5201
Adrian BickerstaffeSee the Notes section for the full list of authors' affiliations.
Stephanie NesciSee the Notes section for the full list of authors' affiliations.
Wendy K ChungSee the Notes section for the full list of authors' affiliations.
Melissa C SoutheySee the Notes section for the full list of authors' affiliations.
Julia A KnightSee the Notes section for the full list of authors' affiliations.
Alice S WhittemoreSee the Notes section for the full list of authors' affiliations.
Gillian S DiteSee the Notes section for the full list of authors' affiliations.ORCID 0000-0002-2448-2548
David GoldgarSee the Notes section for the full list of authors' affiliations.
Graham G GilesSee the Notes section for the full list of authors' affiliations.ORCID 0000-0003-4946-9099
Gord GlendonSee the Notes section for the full list of authors' affiliations.
Jack CuzickSee the Notes section for the full list of authors' affiliations.
Antonis C AntoniouSee the Notes section for the full list of authors' affiliations.
Irene L AndrulisSee the Notes section for the full list of authors' affiliations.
Esther M JohnSee the Notes section for the full list of authors' affiliations.
Mary B DalySee the Notes section for the full list of authors' affiliations.
Saundra S BuysSee the Notes section for the full list of authors' affiliations.
John L HopperSee the Notes section for the full list of authors' affiliations.
Mary Beth TerrySee the Notes section for the full list of authors' affiliations.
kConFab Investigators

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
Cancer Research UK 20861NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundiPrevent is an online breast cancer (BC) risk management decision support tool. It uses an internal switching algorithm, based on a woman's risk factor data, to estimate her absolute BC risk using either the International Breast Cancer Intervention Study (IBIS) version 7.02, or Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm version 3 models, and then provides tailored risk management information. This study assessed the accuracy of the 10-year risk estimates using prospective data.

methodsiPrevent-assigned 10-year invasive BC risk was calculated for 15 732 women aged 20-70 years and without BC at recruitment to the Prospective Family Study Cohort. Calibration, the ratio of the expected (E) number of BCs to the observed (O) number and discriminatory accuracy were assessed.

resultsDuring the 10 years of follow-up, 619 women (3.9%) developed BC compared with 702 expected (E/O = 1.13; 95% confidence interval [CI] =1.05 to 1.23). For women younger than 50 years, 50 years and older, and

conclusionsFor 10-year BC risk, iPrevent had good discriminatory accuracy overall and was well calibrated for women aged younger than 50 years. Calibration may be improved in the future by incorporating IBIS version 8.0b.

Identifiers

PMID31853515
PMCPMC6901082

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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.