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Dannehl D, von Au A, Engler T, Volmer LL, Gutsfeld R, Englisch JF, Hahn M, Hawighorst-Knapstein S, Chaudhuri A, Bauer A, Wallwiener M, Taran FA, Wallwiener D, Brucker SY, Wallwiener S, Hartkopf AD, Dijkstra TMH. Implementation and Evaluation of a Breast Cancer Disease Model Using Real-World Claims Data in Germany from 2010 to 2020. Cancers (Basel) 2024; 16:1490. [PMID: 38672572 PMCID: PMC11049278 DOI: 10.3390/cancers16081490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 04/04/2024] [Accepted: 04/10/2024] [Indexed: 04/28/2024] Open
Abstract
Breast cancer is the leading cause of cancer-related mortality among women in Germany and worldwide. This retrospective claims data analysis utilizing data from AOK Baden-Wuerttemberg, a major statutory German health insurance provider, aimed to construct and assess a real-world data breast cancer disease model. The study included 27,869 female breast cancer patients and 55,738 age-matched controls, analyzing data from 2010 to 2020. Three distinct breast cancer stages were analyzed: Stage A (early breast cancer without lymph node involvement), Stage B (early breast cancer with lymph node involvement), and Stage C (primary distant metastatic breast cancer). Tumor subtypes were estimated based on the prescription of antihormonal or HER2-targeted therapy. The study established that 77.9% of patients had HR+ breast cancer and 9.8% HER2+; HR+/HER2- was the most common subtype (70.9%). Overall survival (OS) analysis demonstrated significantly lower survival rates for stages B and C than for controls, with 5-year OS rates ranging from 79.3% for stage B to 35.4% for stage C. OS rates were further stratified by tumor subtype and stage, revealing varying prognoses. Distant recurrence-free survival (DRFS) analysis showed higher recurrence rates in stage B than in stage A, with HR-/HER2- displaying the worst DRFS. This study, the first to model breast cancer subtypes, stages, and outcomes using German claims data, provides valuable insights into real-world breast cancer epidemiology and demonstrates that this breast cancer disease model has the potential to be representative of treatment outcomes.
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Affiliation(s)
- Dominik Dannehl
- Department of Women’s Health, Tübingen University, 72076 Tübingen, Germany; (T.E.); (R.G.); (J.F.E.); (M.H.); (A.B.); (D.W.); (S.Y.B.); (A.D.H.); (T.M.H.D.)
| | - Alexandra von Au
- Department of Gynecology and Obstetrics, Heidelberg University, 69120 Heidelberg, Germany;
| | - Tobias Engler
- Department of Women’s Health, Tübingen University, 72076 Tübingen, Germany; (T.E.); (R.G.); (J.F.E.); (M.H.); (A.B.); (D.W.); (S.Y.B.); (A.D.H.); (T.M.H.D.)
| | - Léa Louise Volmer
- Department of Women’s Health, Tübingen University, 72076 Tübingen, Germany; (T.E.); (R.G.); (J.F.E.); (M.H.); (A.B.); (D.W.); (S.Y.B.); (A.D.H.); (T.M.H.D.)
| | - Raphael Gutsfeld
- Department of Women’s Health, Tübingen University, 72076 Tübingen, Germany; (T.E.); (R.G.); (J.F.E.); (M.H.); (A.B.); (D.W.); (S.Y.B.); (A.D.H.); (T.M.H.D.)
| | - Johannes Felix Englisch
- Department of Women’s Health, Tübingen University, 72076 Tübingen, Germany; (T.E.); (R.G.); (J.F.E.); (M.H.); (A.B.); (D.W.); (S.Y.B.); (A.D.H.); (T.M.H.D.)
| | - Markus Hahn
- Department of Women’s Health, Tübingen University, 72076 Tübingen, Germany; (T.E.); (R.G.); (J.F.E.); (M.H.); (A.B.); (D.W.); (S.Y.B.); (A.D.H.); (T.M.H.D.)
| | | | - Ariane Chaudhuri
- AOK Baden-Wuerttemberg, 70188 Stuttgart, Germany; (S.H.-K.); (A.C.)
| | - Armin Bauer
- Department of Women’s Health, Tübingen University, 72076 Tübingen, Germany; (T.E.); (R.G.); (J.F.E.); (M.H.); (A.B.); (D.W.); (S.Y.B.); (A.D.H.); (T.M.H.D.)
| | | | - Florin-Andrei Taran
- Department of Gynecology and Obstetrics, Freiburg University, 79106 Freiburg im Breisgau, Germany;
| | - Diethelm Wallwiener
- Department of Women’s Health, Tübingen University, 72076 Tübingen, Germany; (T.E.); (R.G.); (J.F.E.); (M.H.); (A.B.); (D.W.); (S.Y.B.); (A.D.H.); (T.M.H.D.)
| | - Sara Yvonne Brucker
- Department of Women’s Health, Tübingen University, 72076 Tübingen, Germany; (T.E.); (R.G.); (J.F.E.); (M.H.); (A.B.); (D.W.); (S.Y.B.); (A.D.H.); (T.M.H.D.)
| | - Stephanie Wallwiener
- Department of Obstetrics and Perinatal Medicine, Halle University, 06120 Halle, Germany;
| | - Andreas Daniel Hartkopf
- Department of Women’s Health, Tübingen University, 72076 Tübingen, Germany; (T.E.); (R.G.); (J.F.E.); (M.H.); (A.B.); (D.W.); (S.Y.B.); (A.D.H.); (T.M.H.D.)
| | - Tjeerd Maarten Hein Dijkstra
- Department of Women’s Health, Tübingen University, 72076 Tübingen, Germany; (T.E.); (R.G.); (J.F.E.); (M.H.); (A.B.); (D.W.); (S.Y.B.); (A.D.H.); (T.M.H.D.)
- Institute for Translational Bioinformatics, University Hospital Tübingen, 72076 Tübingen, Germany
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Ye T, Small DS, Rosenbaum PR. Dimensions, power and factors in an observational study of behavioral problems after physical abuse of children. Ann Appl Stat 2022. [DOI: 10.1214/22-aoas1611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Ting Ye
- Department of Biostatistics, University of Washington
| | - Dylan S. Small
- Department of Statistics and Data Science, Wharton School, University of Pennsylvania
| | - Paul R. Rosenbaum
- Department of Statistics and Data Science, Wharton School, University of Pennsylvania
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