Evidence map›Paper›PMID 29300376›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2018

Cost-effectiveness analysis of germ-line BRCA testing in women with breast cancer and cascade testing in family members of mutation carriers.

Haitham W Tuffaha, Andrew Mitchell, Robyn L Ward, Luke Connelly, James R G Butler, Sarah Norris, Paul A Scuffham

Abstract read
PubMed Publisher
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

63 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Assessing Value for Money in Theranostic Nuclear Medicine: A Systematic Review.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Pooled it
  2. Pooled it
  3. Systematic evidence review and meta-analysis of outcomes associated with cancer genetic counseling.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Pooled it
  4. Cascade Testing for Hereditary Cancer Syndromes: Should We Move Toward Direct Relative Contact? A Systematic Review and Meta-Analysis.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022
    Pooled it
  5. 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
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  9. The Genetic Education for Men (GEM) Trial: Development of Web-Based Education for Untested Men in BRCA1/2-Positive Families.Journal of cancer education : the official journal of the American Association for Cancer Education · 2021
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3 more citing papers are in PubMed but not listed here.

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

7 authors.

Haitham W TuffahaMenzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia. haitham.tuffaha@griffith.edu.au.
Andrew MitchellPharmaceutical Evaluation Branch/Medical Specialist Services Branch, Australian Government Department of Health, Canberra, Australian Capital Territory, Australia.
Robyn L WardOffice of DVCR, University of Queensland, Brisbane, Australia, Queensland.
Luke ConnellyCentre for the Business and Economics of Health, University of Queensland, Brisbane, Queensland, Australia.
James R G ButlerHealth Research Institute, University of Canberra, Canberra, Australian Capital Territory, Australia.
Sarah NorrisMenzies Centre for Health Policy, University of Sydney, Sydney, New South Wales, Australia.
Paul A ScuffhamMenzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the cost-effectiveness of BRCA testing in women with breast cancer, and cascade testing in family members of BRCA mutation carriers.

methodsA cost-effectiveness analysis was conducted using a cohort Markov model from a health-payer perspective. The model estimated the long-term benefits and costs of testing women with breast cancer who had at least a 10% pretest BRCA mutation probability, and the cascade testing of first- and second-degree relatives of women who test positive.

resultsCompared with no testing, BRCA testing of affected women resulted in an incremental cost per quality-adjusted life-year (QALY) gained of AU$18,900 (incremental cost AU$1,880; incremental QALY gain 0.10) with reductions of 0.04 breast and 0.01 ovarian cancer events. Testing affected women and cascade testing of family members resulted in an incremental cost per QALY gained of AU$9,500 compared with testing affected women only (incremental cost AU$665; incremental QALY gain 0.07) with additional reductions of 0.06 breast and 0.01 ovarian cancer events.

conclusionBRCA testing in women with breast cancer is cost-effective and is associated with reduced risk of cancer and improved survival. Extending testing to cover family members of affected women who test positive improves cost-effectiveness beyond restricting testing to affected women only.

Indexed as

AdultAustraliaBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsCost-Benefit AnalysisDecision Support TechniquesEarly Detection of CancerFemaleGenetic Predisposition to DiseaseGenetic TestingGerm-Line MutationHealth Care CostsHumansMarkov ChainsMiddle AgedBRCA1 ProteinBRCA2 ProteinBRCA testingbreast cancercascade testingcost-effectivenessovarian cancer

Identifiers

PMID29300376

What OpenQuestion holds

Textmetadata
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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.