Evidence map›Paper›PMID 29361001›Full record

ArticleJournal of the National Cancer Institute2018

Cost-effectiveness of Population-Based BRCA1, BRCA2, RAD51C, RAD51D, BRIP1, PALB2 Mutation Testing in Unselected General Population Women.

Ranjit Manchanda, Shreeya Patel, Vladimir S Gordeev, Antonis C Antoniou, Shantel Smith, Andrew Lee, John L Hopper, Robert J MacInnis, Clare Turnbull, Susan J Ramus and 5 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Journal of the National Cancer Institute, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 8 pooled it
16.3field-weighted citation impact, top 1% 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

120 citing papers in PubMed, 8 syntheses or guidelines pooled it, 178 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. SEOM-GETTHI clinical guideline for the practical management of molecular platforms (2021).Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Guideline
  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
  6. Cost effectiveness of breast cancer screening and prevention: a systematic review with a focus on risk-adapted strategies.The European journal of health economics : HEPAC : health economics in prevention and care · 2021
    Pooled it
  7. Pooled it
  8. 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
  9. Trial
  10. Trial
  11. SEOM‑GETTHI clinical guideline for the practical management of molecular platforms (update 2026).Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
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  17. Article
  18. Article
  19. GermlinePathology oncology research : POR · 2026
    Article
  20. Article

60 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 10 institutions in 3 countries.

Ranjit ManchandaCentre for Experimental Cancer Medicine, Queen Mary University of London, London, UK.
Shreeya PatelCentre for Experimental Cancer Medicine, Queen Mary University of London, London, UK.
Vladimir S GordeevDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Antonis C AntoniouCentre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, UK.
Shantel SmithDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.
Andrew LeeCentre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, UK.
John L HopperCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia.
Robert J MacInnisCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia.
Clare TurnbullBarts Cancer Institute, Queen Mary University of London, London, UK.
Susan J RamusFaculty of Medicine, School of Women's and Children's Health, University of New South Wales, Sydney, Australia.
Simon A GaytherCedars Sinai Medical Centre, Los Angeles, CA.
Paul D P PharoahCentre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, UK.
Usha MenonGynaecological Cancer Research Centre, Department of Women's Cancer, Institute for Women's Health, University College London, London, UK.
Ian JacobsGynaecological Cancer Research Centre, Department of Women's Cancer, Institute for Women's Health, University College London, London, UK.
Rosa LegoodDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.
London School of Hygiene & Tropical Medicine · GBMRC Epidemiology Unit · GBUniversity of Melbourne · AUBreast Cancer Now · GBCedars-Sinai Medical Center · USQueen Mary University of London · GBRoyal London Hospital · GBThe Kinghorn Cancer Centre · AUUniversity College London · GBUniversity of Cambridge · GB

Funding

Cancer Research UK 10119Cancer Research UK 10124Cancer Research UK 12677Cancer Research UK 16561Cancer Research UK 20861Medical Research Council G0700491
6 · The paper itself

Abstract

Background: The cost-effectiveness of population-based panel testing for high- and moderate-penetrance ovarian cancer (OC)/breast cancer (BC) gene mutations is unknown. We evaluate the cost-effectiveness of population-based BRCA1/BRCA2/RAD51C/RAD51D/BRIP1/PALB2 mutation testing compared with clinical criteria/family history (FH) testing in unselected general population women. Methods: A decision-analytic model comparing lifetime costs and effects of criteria/FH-based BRCA1/BRCA2 testing is compared with BRCA1/BRCA2/RAD51C/RAD51D/BRIP1/PALB2 testing in those fulfilling clinical criteria/strong FH of cancer (≥10% BRCA1/BRCA2 probability) and all women age 30 years or older. Analyses are presented for UK and US populations. Identified carriers undergo risk-reducing salpingo-oophorectomy. BRCA1/BRCA2/PALB2 carriers can opt for magnetic resonance imaging/mammography, chemoprevention, or risk-reducing mastectomy. One-way and probabilistic sensitivity analysis (PSA) enabled model uncertainty evaluation. Outcomes include OC, BC, and additional heart disease deaths. Quality-adjusted life-years (QALYs), OC incidence, BC incidence, and incremental cost-effectiveness ratio (ICER) were calculated. The time horizon is lifetime and perspective is payer. Results: Compared with clinical criteria/FH-based BRCA1/BRCA2 testing, clinical criteria/FH-based BRCA1/BRCA2/RAD51C/RAD51D/BRIP1/PALB2 testing is cost-effective (ICER = £7629.65/QALY or $49 282.19/QALY; 0.04 days' life-expectancy gained). Population-based testing for BRCA1/BRCA2/RAD51C/RAD51D/BRIP1/PALB2 mutations is the most cost-effective strategy compared with current policy: ICER = £21 599.96/QALY or $54 769.78/QALY (9.34 or 7.57 days' life-expectancy gained). At £30 000/QALY and $100 000/QALY willingness-to-pay thresholds, population-based BRCA1/BRCA2/RAD51C/RAD51D/BRIP1/PALB2 panel testing is the preferred strategy in 83.7% and 92.7% of PSA simulations; criteria/FH-based panel testing is preferred in 16.2% and 5.8% of simulations, respectively. Population-based BRCA1/BRCA2/RAD51C/RAD51D/BRIP1/PALB2 testing can prevent 1.86%/1.91% of BC and 3.2%/4.88% of OC in UK/US women: 657/655 OC cases and 2420/2386 BC cases prevented per million. Conclusions: Population-based BRCA1/BRCA2/RAD51C/RAD51D/BRIP1/PALB2 testing is more cost-effective than any clinical criteria/FH-based strategy. Clinical criteria/FH-based BRCA1/BRCA2/RAD51C/RAD51D/BRIP1/PALB2 testing is more cost-effective than BRCA1/BRCA2 testing alone.

Indexed as

Genetic TestingAdultAgedAged, 80 and overBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsCost-Benefit AnalysisDecision Support TechniquesDNA Mutational AnalysisFanconi Anemia Complementation Group N ProteinFanconi Anemia Complementation Group ProteinsFemaleHumansIncidenceMammographyBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanBRIP1 protein, humanFanconi Anemia Complementation Group N ProteinFanconi Anemia Complementation Group ProteinsPALB2 protein, humanRNA Helicases

Identifiers

PMID29361001
OpenAlexW2787869143

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.