Evidence map›Paper›PMID 27906166›Full record

SynthesisGenetics in medicine : official journal of the American College of Medical Genetics2016

Which BRCA genetic testing programs are ready for implementation in health care? A systematic review of economic evaluations.

Elvira D'Andrea, Carolina Marzuillo, Corrado De Vito, Marco Di Marco, Erica Pitini, Maria Rosaria Vacchio, Paolo Villari

Abstract readSystematic Review
In one paragraph

Synthesis in Genetics in medicine : official journal of the American College of Medical Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 8 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

49 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
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  4. 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
  5. Pooled it
  6. Which Lynch syndrome screening programs could be implemented in the "real world"? A systematic review of economic evaluations.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Pooled it
  7. Cost-effectiveness and comparative effectiveness of cancer risk management strategies in BRCA1/2 mutation carriers: a systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Pooled it
  8. How is genetic testing evaluated? A systematic review of the literature.European journal of human genetics : EJHG · 2018
    Pooled it
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  13. Cost-effectiveness analysis of population-basedFrontiers in public health · 2025
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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

7 authors.

Elvira D'AndreaDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Carolina MarzuilloDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Corrado De VitoDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.ORCID 0000-0002-7846-672X
Marco Di MarcoDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Erica PitiniDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Maria Rosaria VacchioDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Paolo VillariDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.ORCID 0000-0002-5263-3964

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThere is considerable evidence regarding the efficacy and effectiveness of BRCA genetic testing programs, but whether they represent good use of financial resources is not clear. Therefore, we aimed to identify the main health-care programs for BRCA testing and to evaluate their cost-effectiveness.

methodsWe performed a systematic review of full economic evaluations of health-care programs involving BRCA testing.

resultsNine economic evaluations were included, and four main categories of BRCA testing programs were identified: (i) population-based genetic screening of individuals without cancer, either comprehensive or targeted based on ancestry; (ii) family history (FH)-based genetic screening, i.e., testing individuals without cancer but with FH suggestive of BRCA mutation; (iii) familial mutation (FM)-based genetic screening, i.e., testing individuals without cancer but with known familial BRCA mutation; and (iv) cancer-based genetic screening, i.e., testing individuals with BRCA-related cancers.

conclusionsCurrently BRCA1/2 population-based screening represents good value for the money among Ashkenazi Jews only. FH-based screening is potentially very cost-effective, although further studies that include costs of identifying high-risk women are needed. There is no evidence of cost-effectiveness for BRCA screening of all newly diagnosed cases of breast/ovarian cancers followed by cascade testing of relatives, but programs that include tools for identifying affected women at higher risk for inherited forms are promising. Cost-effectiveness is highly sensitive to the cost of BRCA1/2 testing.Genet Med 18 12, 1171-1180.

Indexed as

Cost-Benefit AnalysisBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsFemaleGenetic Predisposition to DiseaseGenetic TestingHumansJewsMass ScreeningMutationOvarian NeoplasmsRisk AssessmentBRCA1 ProteinBRCA1 protein, humanBRCA2 Protein

Identifiers

PMID27906166
PMCPMC5159446

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.