Literature DB >> 28585885

Validity of Danish Breast Cancer Group (DBCG) registry data used in the predictors of breast cancer recurrence (ProBeCaRe) premenopausal breast cancer cohort study.

Deirdre P Cronin-Fenton1, Anders Kjærsgaard1, Thomas P Ahern2, Marco Mele3, Marianne Ewertz4,5, Stephen Hamilton-Dutoit6, Peer M Christiansen3,7,8, Bent Ejlertsen8,9, Henrik T Sørensen1,10, Timothy L Lash1,11, Rebecca A Silliman1,12.   

Abstract

BACKGROUND: Validation studies of the Danish Breast Cancer Group (DBCG) registry show good agreement with medical records for adjuvant treatment data, but inconsistent recurrence information. No studies have validated changes in menopausal status or endocrine therapy during follow-up. In a longitudinal study, we validated DBCG data using medical records as the gold standard.
MATERIAL AND METHODS: From a cohort of 5959 premenopausal women diagnosed during 2002-2010 with stage I-III breast cancer, we selected 151 patients - 77 estrogen-receptor-positive and 74 estrogen-receptor-negative - from three hospitals. We assessed the validity of DBCG registry data on patient, tumor, and treatment factors, and follow-up information on menopausal transition, changes in endocrine therapy, and recurrence. We computed positive predictive values (PPVs) with 95% confidence intervals (95%CI).
RESULTS: Agreement was near perfect for tumor size, lymph node involvement, receptor status, surgery type, and receipt of radiotherapy, chemotherapy, or tamoxifen treatment. The PPV for a change in endocrine therapy in the DBCG was 96% (95%CI = 83, 100). The PPV for menopausal transition was 61% (95%CI = 42, 77). The PPV for DBCG-recorded recurrence was 100%. However, of 19 patients who had a recurrence documented in their medical record, 13 had the recurrence registered in DBCG.
CONCLUSIONS: DBCG data are valid for most epidemiological studies of breast cancer treatment. Data on menopausal transition may be less valid, though this interpretation depends on the suitability of medical records for making this assessment. Although recurrence is missing for some, this would not bias most ratio measures of association.

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Year:  2017        PMID: 28585885     DOI: 10.1080/0284186X.2017.1327720

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  6 in total

1.  Predictive pharmacogenetic biomarkers for breast cancer recurrence prevention by simvastatin.

Authors:  Thomas P Ahern; Per Damkier; Søren Feddersen; Anders Kjærsgaard; Timothy L Lash; Stephen Hamilton-Dutoit; Cathrine Bredal Lythjohan; Bent Ejlertsen; Peer M Christiansen; Deirdre P Cronin-Fenton
Journal:  Acta Oncol       Date:  2020-04-30       Impact factor: 4.089

2.  Single-nucleotide polymorphisms and the effectiveness of taxane-based chemotherapy in premenopausal breast cancer: a population-based cohort study in Denmark.

Authors:  Cathrine F Hjorth; Per Damkier; Tore B Stage; Søren Feddersen; Stephen Hamilton-Dutoit; Mikael Rørth; Bent Ejlertsen; Timothy L Lash; Thomas P Ahern; Henrik T Sørensen; Deirdre Cronin-Fenton
Journal:  Breast Cancer Res Treat       Date:  2022-04-30       Impact factor: 4.624

3.  Cohort Profile: the Predictors of Breast Cancer Recurrence (ProBe CaRE) Premenopausal Breast Cancer Cohort Study in Denmark.

Authors:  Lindsay J Collin; Deirdre P Cronin-Fenton; Thomas P Ahern; Peer M Christiansen; Per Damkier; Bent Ejlertsen; Stephen Hamilton-Dutoit; Anders Kjærsgaard; Rebecca A Silliman; Henrik Toft Sørensen; Timothy L Lash
Journal:  BMJ Open       Date:  2018-08-01       Impact factor: 2.692

4.  Statin use and breast cancer recurrence in postmenopausal women treated with adjuvant aromatase inhibitors: a Danish population-based cohort study.

Authors:  Sixten Harborg; Uffe Heide-Jørgensen; Thomas P Ahern; Marianne Ewertz; Deirdre Cronin-Fenton; Signe Borgquist
Journal:  Breast Cancer Res Treat       Date:  2020-06-22       Impact factor: 4.872

5.  Patient-reported outcome after oncoplastic breast surgery compared with conventional breast-conserving surgery in breast cancer.

Authors:  Michael Rose; Henry Svensson; Jürgen Handler; Ute Hoyer; Anita Ringberg; Jonas Manjer
Journal:  Breast Cancer Res Treat       Date:  2020-01-27       Impact factor: 4.872

6.  Adaptive Validation Design: A Bayesian Approach to Validation Substudy Design With Prospective Data Collection.

Authors:  Lindsay J Collin; Richard F MacLehose; Thomas P Ahern; Rebecca Nash; Darios Getahun; Douglas Roblin; Michael J Silverberg; Michael Goodman; Timothy L Lash
Journal:  Epidemiology       Date:  2020-07       Impact factor: 4.860

  6 in total

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