Evidence map›Paper›PMID 42271092›Full record

ReviewPharmacoEconomics - open2026

Health Utility Values Measured by EQ-5D in Breast Cancer From Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis Protocol.

Lynn Jia Tay, Siew Chin Ong, Lyn Xuan Tay

Abstract readReview
In one paragraph

Review in PharmacoEconomics - open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Lynn Jia TaySchool of International Education, An Hui Medical University, 230032, HeFei, AnHui, China.
Siew Chin OngDiscipline of Social and Administrative Pharmacy, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia.
Lyn Xuan TayVanke School of Public Health, Tsinghua University, 100084, Beijing, China. taylynxuan@gmail.com.ORCID http://orcid.org/0009-0001-2757-8123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth utility values (HUVs) are fundamental parameters in economic evaluations used to assess the value of healthcare interventions. However, patients living with breast cancer in low- and middle-income countries (LMICs) face distinct burdens compared with those in high-income countries (HICs), driven by profound disparities in resources, infrastructure, and cultural context. High reliance on HUVs from HICs risks misrepresenting the specific disease burden in LMICs, introducing uncertainty in local healthcare resource allocation. This protocol outlines the methods for a planned systematic review and meta-analysis to synthesize available evidence from LMICs to generate pooled EuroQol-5 Dimensions HUV estimates that are contextually appropriate for local decision making.

methodsBy following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines, this protocol is registered in PROSPERO (CRD420251208371). The initial literature search will be conducted in Cochrane CENTRAL, PubMed, Web of Science core collection and Scopus using keywords such as 'health-related quality of life', 'EuroQol-5 Dimensions', 'breast cancer' and 'low-middle-income countries'. Risk-of-bias assessment will be conducted using the Cochrane Risk-of-Bias Tool (RoB 2) and Newcastle-Ottawa Scale (NOS) depending on study designs. R packages (metaprop) will be used to pool the mean HUVs of people living with breast cancer using fixed-effect (inverse variance method) and random-effect models (Der Simonian-Laird method). Subgroup analysis will be conducted based on different categories of interest such as EQ-5D versions, country income level and clinical stagings. DISCUSSION: This protocol provides a systematic guide to synthesize EQ-5D utility values specific to breast cancer in LMICs. The anticipated findings will establish a critical evidence base for decision making in resource-constrained settings. By generating contextually relevant estimates, this will minimize parameter uncertainty and support more equitable resource allocation. Hence, it will contribute to health systems that are responsive not only to the clinical burden of the disease but also to the multidimensional well-being of the patient and families it affects.

Identifiers

PMID42271092
PMCPMC13593971

What OpenQuestion holds

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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.