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PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200...

PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b5a5b9d0ce744f35ba7c210786d10ea8

PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Prediction of contralateral breast cancer (CBC) risk is challenging due to moderate performances of the known risk factors. We aimed to improve our previous risk prediction model (PredictCBC) by updated follow-up and including additional risk factors.
We included data from 207,510 invasive breast cancer patients participating in 23 studies. In t...

Alternative Titles

Full title

PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b5a5b9d0ce744f35ba7c210786d10ea8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b5a5b9d0ce744f35ba7c210786d10ea8

Other Identifiers

ISSN

1465-542X,1465-5411

E-ISSN

1465-542X

DOI

10.1186/s13058-022-01567-3

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