Evidence map›Paper›PMID 38162618›Full record

ArticleFrontiers in public health2023

A cost-utility analysis of

Pongtawat Lertwilaiwittaya, Narisa Tantai, Satanun Maneeon, Sophittha Kongbunrak, Nongyao Nonpanya, Anna C E Hurst, Varalak Srinonprasert, Manop Pithukpakorn

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. BRCA Testing in Asian Patients with Ovarian Cancer: Standard Clinical Practice or Mutation Prediction Model?Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  3. Article
  4. Review
  5. Article
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.

Pongtawat LertwilaiwittayaDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
Narisa TantaiDepartment of Pharmacy, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Satanun ManeeonDepartment of Pharmacy, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Sophittha KongbunrakDepartment of Pharmacy, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Nongyao NonpanyaDepartment of Genetics, University of Alabama at Birmingham, Birmingham, AL, United States.
Anna C E HurstDepartment of Genetics, University of Alabama at Birmingham, Birmingham, AL, United States.
Varalak SrinonprasertDepartment of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Manop PithukpakornDepartment of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Screening for germline pathogenic Methods: Decision tree and Markov model were utilized to assess cost-utility between the testing vs. no-testing groups from a societal and lifetime perspective and lifetime. We interviewed 264 patients with breast/ovarian cancer and their family members to assess relevant costs and quality of life using EQ-5D-5L. One-way sensitivity, probabilistic sensitivity (Monte Carlo simulation), and budget impact analyses were done to estimate the outcome under Thailand's Universal Health Coverage scheme. Results: The predicted lifetime cost and Quality-adjusted Life Years (QALY) for those with breast cancer were $13,788 and 10.22 in the testing group and $13,702 and 10.07 in the no-testing group. The incremental cost-effectiveness ratio for gBRCA testing in high-risk breast cancer patients was $573/QALY. The lifetime cost for the family members of those with gBRCA was $14,035 (QALY 9.99), while the no-testing family members group was $14,077 (QALY 9.98). Performing gBRCA testing in family members was cost-saving. Conclusion: Cost-utility analysis demonstrated a cost-effective result of gBRCA testing in high-risk breast cancer patients and cost-saving in familial cascade testing. The result was endorsed in the national health benefits package in 2022. Other middle-income countries may observe the cost-effective/cost-saving aspects in common genetic diseases under their national health schemes.

Indexed as

Breast NeoplasmsBRCA1 ProteinBRCA2 ProteinCost-Benefit AnalysisFamilyFemaleGenetic TestingHumansQuality of LifeResource-Limited SettingsThailandBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanBRCAbreast cancercost-effectivenesscost-utilitygenetic testinghealth policymiddle-income

Identifiers

PMID38162618
PMCPMC10757601

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LicenceCC BY
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Registered trials

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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.