Literature DB >> 28948396

Breast cancer recurrence, bone metastases, and visceral metastases in women with stage II and III breast cancer in Denmark.

Deirdre Cronin-Fenton1, Anders Kjærsgaard2, Mette Nørgaard2, Justyna Amelio3, Alexander Liede3, Rohini K Hernandez3, Henrik T Sørensen2.   

Abstract

PURPOSE: We developed and validated algorithms to identify metastases and breast cancer recurrence in Danish medical registries. We computed the incidence rate (IR) and hazard ratios (HRs) to evaluate predictors of these outcomes in stage II/III breast cancer patients.
METHODS: We included all women in Denmark diagnosed during 1999-2011 with regional or stage II/III breast cancer. Demographic, tumor, and treatment data were ascertained from population-based health registries. To facilitate diagnostic work-up of the primary cancer, follow-up began 180 days after diagnosis and continued until recurrence/metastases, death, or 31 December 2012, whichever occurred first. We computed the positive predictive values (PPVs) of recurrence, bone metastases, and visceral metastases using medical records as a gold standard. We calculated the cumulative incidence, IR per 10,000 person years, and used Cox regression to compute the HRs and associated 95% confidence intervals (95% CI) for each outcome.
RESULTS: Among 23,478 patients, 7073 had regional stage and 16,405 had stage II/III breast cancer. The PPV for recurrence was 72.6% (95% CI 59.3, 83.3%). The PPVs for bone and visceral metastases were 92.3% (95% CI 69.3-99.2%) and 70.8% (95% CI 51.1, 85.9%), but had low sensitivity. Five-year cumulative incidence of recurrence, bone metastases, and visceral metastases were 18.4, 2.2, and 5.2%, with corresponding 5-year IRs of 540 (95% CI 524, 557), 60 (95% CI 55, 65), and 144 (95% CI 136, 152), respectively. Predictors of recurrence and metastases included age, stage, hormone receptor status, and cancer treatment.
CONCLUSION: Our algorithms show moderate to high PPVs for recurrence and metastases. The IRs of metastases were lower compared with other registry-based cohort studies, so may be underestimated in Danish registries.

Entities:  

Keywords:  Bone metastases; Breast cancer; Breast cancer recurrence; Incidence rate; Mortality; Visceral metastases

Mesh:

Year:  2017        PMID: 28948396     DOI: 10.1007/s10549-017-4510-3

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  6 in total

1.  A Systematic Review of Estimating Breast Cancer Recurrence at the Population Level With Administrative Data.

Authors:  Hava Izci; Tim Tambuyzer; Krizia Tuand; Victoria Depoorter; Annouschka Laenen; Hans Wildiers; Ignace Vergote; Liesbet Van Eycken; Harlinde De Schutter; Freija Verdoodt; Patrick Neven
Journal:  J Natl Cancer Inst       Date:  2020-10-01       Impact factor: 13.506

2.  Prognostic factors and survival according to tumour subtype in women presenting with breast cancer bone metastases at initial diagnosis: a SEER-based study.

Authors:  Xiao Li; Xiaoli Zhang; Jie Liu; Yinzhong Shen
Journal:  BMC Cancer       Date:  2020-11-13       Impact factor: 4.430

3.  A Validated Register-Based Algorithm to Identify Patients Diagnosed with Recurrence of Malignant Melanoma in Denmark.

Authors:  Linda Aagaard Rasmussen; Henry Jensen; Line Flytkjaer Virgilsen; Lisbet Rosenkrantz Hölmich; Peter Vedsted
Journal:  Clin Epidemiol       Date:  2021-03-15       Impact factor: 4.790

4.  Metastatic Breast Cancer Recurrence after Bone Fractures.

Authors:  Nadia Obi; Stefan Werner; Frank Thelen; Heiko Becher; Klaus Pantel
Journal:  Cancers (Basel)       Date:  2022-01-25       Impact factor: 6.639

5.  Identifying Breast Cancer Recurrence in Administrative Data: Algorithm Development and Validation.

Authors:  Claire M B Holloway; Omid Shabestari; Maria Eberg; Katharina Forster; Paula Murray; Bo Green; Ali Vahit Esensoy; Andrea Eisen; Jonathan Sussman
Journal:  Curr Oncol       Date:  2022-07-28       Impact factor: 3.109

6.  First prospective data on breast cancer patients from the multicentre italian bone metastasis database.

Authors:  Alberto Bongiovanni; Flavia Foca; Manuela Fantini; Maria Rosachiara Forcignanò; Fabrizio Artioli; Rossana Berardi; Enrico Campadelli; Giuseppe Procopio; Francesco Silvestris; Nada Riva; Lorena Gurrieri; Silvia Angela Debonis; Giandomenico Di Menna; Valentina Fausti; Federica Recine; Roberto Vespignani; Toni Ibrahim
Journal:  Sci Rep       Date:  2021-02-22       Impact factor: 4.379

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.