Evidence map›Paper›PMID 33335023›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2021

CanRisk Tool-A Web Interface for the Prediction of Breast and Ovarian Cancer Risk and the Likelihood of Carrying Genetic Pathogenic Variants.

Tim Carver, Simon Hartley, Andrew Lee, Alex P Cunningham, Stephanie Archer, Chantal Babb de Villiers, Jonathan Roberts, Rod Ruston, Fiona M Walter, Marc Tischkowitz and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 3 pooled it
27.2field-weighted citation impact, top 1% 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

149 citing papers in PubMed, 3 syntheses or guidelines pooled it, 220 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Guideline
  4. Trial
  5. Implementing a Risk-Stratified National Breast Screening Programme in the United Kingdom: A Model-Based Cost-effectiveness Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  6. PRS-BCJournal of medical genetics · 2026
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  9. BRCA Testing in Asian Patients with Ovarian Cancer: Standard Clinical Practice or Mutation Prediction Model?Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  14. Contemporary risk assessment and risk-reducing strategies for tubo-ovarian cancer in women with BRCA pathogenic variants.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2026
    Review
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89 more citing papers are in PubMed but not listed here.

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

12 authors at 6 institutions in 2 countries.

Tim CarverCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom. tjc29@medschl.cam.ac.uk.
Simon HartleyCentre for Computational Biology, University of Birmingham, Birmingham, United Kingdom.
Andrew LeeCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-0677-0252
Alex P CunninghamCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-3737-9611
Stephanie ArcherPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-1349-7178
Chantal Babb de VilliersPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-1334-1819
Jonathan RobertsEast Anglian Medical Genetics Service, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, United Kingdom.
Rod RustonPriory Analysts, Milton Keynes, United Kingdom.
Fiona M WalterPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-7191-6476
Marc TischkowitzEast Anglian Medical Genetics Service, Cambridge Biomedical Campus, Addenbrooke's Hospital, Cambridge, United Kingdom.
Douglas F EastonCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
Antonis C AntoniouCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-9223-3116
Cancer Research UK Cambridge Center · GBUniversity of Cambridge · GBAddenbrooke's Hospital · GBNational Institute for Health Research · GBThe Priory Hospital · GBUniversity College Birmingham · GB

Funding

Cancer Research UK 20861Cancer Research UK A16563Cancer Research UK A20861Cancer Research UK C8640/A23385Wellcome Trust 203477Wellcome Trust 203477/Z/16/Z
6 · The paper itself

Abstract

backgroundThe CanRisk Tool (https://canrisk.org) is the next-generation web interface for the latest version of the BOADICEA (Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm) state-of-the-art risk model and a forthcoming ovarian cancer risk model.

methodsThe tool captures information on family history, rare pathogenic variants in cancer susceptibility genes, polygenic risk scores, lifestyle/hormonal/clinical features, and imaging risk factors to predict breast and ovarian cancer risks and estimate the probabilities of carrying pathogenic variants in certain genes. It was implemented using modern web frameworks, technologies, and web services to make it extensible and increase accessibility to researchers and third-party applications. The design of the graphical user interface was informed by feedback from health care professionals and a formal evaluation.

resultsThis freely accessible tool was designed to be user friendly for clinicians and to boost acceptability in clinical settings. The tool incorporates a novel graphical pedigree builder to facilitate collection of the family history data required by risk calculations.

conclusionsThe CanRisk Tool provides health care professionals and researchers with a user-friendly interface to carry out multifactorial breast and ovarian cancer risk predictions. It is the first freely accessible cancer risk prediction program to carry the CE marking. IMPACT: There have been over 3,100 account registrations, and 98,000 breast and ovarian cancer risk calculations have been run within the first 9 months of the CanRisk Tool launch.

Indexed as

Breast NeoplasmsFemaleGenetic Predisposition to DiseaseHumansInternetOvarian NeoplasmsRisk Factors

Identifiers

PMID33335023
PMCPMC7611188
OpenAlexW3112064555

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.