Evidence map›Paper›PMID 30790097›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2019

Economic modeling of risk-adapted screen-and-treat strategies in women at high risk for breast or ovarian cancer.

Dirk Müller, Marion Danner, Rita Schmutzler, Christoph Engel, Kirsten Wassermann, Björn Stollenwerk, Stephanie Stock, Kerstin Rhiem

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
2.5field-weighted citation impact, top 11% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. A systematic review of the methodological quality of economic evaluations in genetic screening and testing for monogenic disorders.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Pooled it
  3. Systematic Review of the Cost Effectiveness of Breast Cancer Prevention, Screening, and Treatment Interventions.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020
    Pooled it
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  9. Hereditary Ovarian Cancer: Towards a Cost-Effective Prevention Strategy.International journal of environmental research and public health · 2022
    Review
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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

8 authors at 3 institutions in 1 country.

Dirk MüllerInstitute for Health Economics and Clinical Epidemiology, The University Hospital of Cologne (AöR), Gleueler Straße 176-178, 50935, Cologne, Germany. dirk.mueller@uk-koeln.de.
Marion DannerInstitute for Health Economics and Clinical Epidemiology, The University Hospital of Cologne (AöR), Gleueler Straße 176-178, 50935, Cologne, Germany.
Rita SchmutzlerCenter for Hereditary Breast and Ovarian Cancer, University Hospital Cologne, Kerpener Straße 34, 50931, Cologne, Germany.
Christoph EngelInstitute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Härtelstraße 16-18, 04107, Leipzig, Germany.
Kirsten WassermannCenter for Hereditary Breast and Ovarian Cancer, University Hospital Cologne, Kerpener Straße 34, 50931, Cologne, Germany.
Björn StollenwerkInstitute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Stephanie StockInstitute for Health Economics and Clinical Epidemiology, The University Hospital of Cologne (AöR), Gleueler Straße 176-178, 50935, Cologne, Germany.
Kerstin RhiemCenter for Hereditary Breast and Ovarian Cancer, University Hospital Cologne, Kerpener Straße 34, 50931, Cologne, Germany.
University Hospital Cologne · DEHelmholtz Zentrum München · DELeipzig University · DE

Funding

Bundesministerium f?r Bildung und Forschung NKP-332-019
6 · The paper itself

Abstract

backgroundThe 'German Consortium for Hereditary Breast and Ovarian Cancer' (GC-HBOC) offers women with a family history of breast and ovarian cancer genetic counseling. The aim of this modeling study was to evaluate the cost-effectiveness of genetic testing for BRCA 1/2 in women with a high familial risk followed by different preventive interventions (intensified surveillance, risk-reducing bilateral mastectomy, risk-reducing bilateral salpingo-oophorectomy, or both mastectomy and salpingo-oophorectomy) compared to no genetic test.

methodsA Markov model with a lifelong time horizon was developed for a cohort of 35-year-old women with a BRCA 1/2 mutation probability of ≥ 10%. The perspective of the German statutory health insurance (SHI) was adopted. The model included the health states 'well' (women with increased risk), 'breast cancer without metastases', 'breast cancer with metastases', 'ovarian cancer', 'death', and two post (non-metastatic) breast or ovarian cancer states. Outcomes were costs, quality of life years gained (QALYs) and life years gained (LYG). Important data used for the model were obtained from 4380 women enrolled in the GC-HBOC.

resultsCompared with the no test strategy, genetic testing with subsequent surgical and non-surgical treatment options provided to women with deleterious BRCA 1 or 2 mutations resulted in additional costs of €7256 and additional QALYs of 0,43 (incremental cost-effectiveness ratio of €17,027 per QALY; cost per LYG: €22,318). The results were robust in deterministic and probabilistic sensitivity analyses.

conclusionThe provision of genetic testing to high-risk women with a BRCA1 and two mutation probability of ≥ 10% based on the individual family cancer history appears to be a cost-effective option for the SHI.

Indexed as

Models, EconomicAdultBreast NeoplasmsFemaleGenetic TestingGermanyHumansMass ScreeningMastectomyOvarian NeoplasmsQuality-Adjusted Life YearsRiskSalpingo-oophorectomyBRCABreast cancerCost-effectivenessEconomic modelingGenetic testingRisk-reducing surgery

Identifiers

PMID30790097
OpenAlexW2915479702

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.