Evidence map›Paper›PMID 36162851›Full record

ArticleJournal of medical genetics2022

Enhancing the BOADICEA cancer risk prediction model to incorporate new data on

Andrew Lee, Nasim Mavaddat, Alex Cunningham, Tim Carver, Lorenzo Ficorella, Stephanie Archer, Fiona M Walter, Marc Tischkowitz, Jonathan Roberts, Juliet Usher-Smith and 12 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Journal of medical genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06564428 (A Cohort Study of Hereditary Ovarian Cancer Risk Prediction Models and Pathogenesis Exploration), which is not on this map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
11.6field-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.

NCT06564428 recruitingnot on this mapstarted 2024, after this paper: background citation

A Cohort Study of Hereditary Ovarian Cancer Risk Prediction Models and Pathogenesis Exploration

TypeobservationalSponsorPeking University Third HospitalRan2024 to 2026Enrolled1,000ConditionsOvarian NeoplasmsArmsSuspective gene mutations and family history
3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

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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

22 authors at 9 institutions in 6 countries.

Andrew LeeCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0003-0677-0252
Nasim MavaddatCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Alex CunninghamCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Tim CarverCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Lorenzo FicorellaCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Stephanie ArcherPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Fiona M WalterPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Marc TischkowitzDepartment of Medical Genetics and National Institute for Health Research, Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK.
Jonathan RobertsDepartment of Medical Genetics and National Institute for Health Research, Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK.
Juliet Usher-SmithPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Jacques SimardCentre Hospitalier Universitaire de Québec-Université Laval Research Center, Université Laval, Quebec, Quebec, Canada.
Marjanka K SchmidtDivision of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Peter DevileeDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-8023-2009
Vesna ZadnikEpidemiology and Cancer Registry, Institute of Oncology, Ljubljana, Slovenia.
Hannes JürgensClinic of Hematology and Oncology, Tartu University Hospital, Tartu, Estonia.
Emmanuelle Mouret-FourmeService de Génétique, Institut Curie, Paris, France.
Antoine De PauwService de Génétique, Institut Curie, Paris, France.
Matti RookusDepartment of Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Thea M MooijDepartment of Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Paul Pd PharoahCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0001-8494-732X
Douglas F EastonCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Antonis C AntoniouCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK aca20@medschl.cam.ac.uk.ORCID 0000-0001-9223-3116
University of Cambridge · GBThe Netherlands Cancer Institute · NLInstitut Curie · FRCentre hospitalier universitaire de Québec · CAInstitute of Oncology Ljubljana · SILeiden University Medical Center · NLMRC Epidemiology Unit · GBQueen Mary University of London · GBTartu University Hospital · EE

Funding

Cancer Research UK 20861Cancer Research UK C12292/A20861Cancer Research UK PPRPGM-NOV20\100002Department of Health BRC-1215-20014
6 · The paper itself

Abstract

backgroundBOADICEA (Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm) for breast cancer and the epithelial tubo-ovarian cancer (EOC) models included in the CanRisk tool (www.canrisk.org) provide future cancer risks based on pathogenic variants in cancer-susceptibility genes, polygenic risk scores, breast density, questionnaire-based risk factors and family history. Here, we extend the models to include the effects of pathogenic variants in recently established breast cancer and EOC susceptibility genes, up-to-date age-specific pathology distributions and continuous risk factors.

methodsBOADICEA was extended to further incorporate the associations of pathogenic variants in

results

conclusionsThese extensions will allow for better personalised risks for

Indexed as

Breast NeoplasmsOvarian NeoplasmsAdultBRCA1 ProteinCarcinoma, Ovarian EpithelialDNA-Binding ProteinsFemaleGenetic Predisposition to DiseaseHumansIncidenceRisk FactorsTumor Suppressor ProteinsUbiquitin-Protein LigasesBARD1 protein, humanBRCA1 ProteinDNA-Binding ProteinsRAD51C protein, humanRAD51D protein, humanTumor Suppressor ProteinsUbiquitin-Protein Ligasesgenetic counseling

Identifiers

PMID36162851
PMCPMC9691826
OpenAlexW4297266350

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.