Evidence map›Paper›PMID 29974382›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2018

Mapping between HAQ-DI and EQ-5D-5L in a Chinese patient population.

Thomas Patton, Hao Hu, Luan Luan, Keqin Yang, Shu-Chuen Li

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In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 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

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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, 2 syntheses or guidelines pooled it.

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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

5 authors.

Thomas PattonCentre for Health Economics, University of York, York, YO10 5DD, UK. thomas.patton@york.ac.uk.ORCID http://orcid.org/0000-0002-5134-3308
Hao HuSchool of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia.
Luan LuanSchool of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia.
Keqin YangDepartment of Rheumatology, Taizhou No. 4 Renmin Hospital, Taizhou, Jiangsu, China.
Shu-Chuen LiSchool of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn order to address the current deficiency of health utility evidence relevant for economic evaluations involving treatments for rheumatoid arthritis (RA) in the Chinese setting, this study aims to develop a mapping algorithm linking the Health Assessment Questionnaire (HAQ) and EQ-5D-5L in a Chinese population of patients with RA.

methodsAn estimation sample was obtained from a cross-sectional study that collected HAQ, the pain Visual Analogue Scale, and EQ-5D-5L in RA patients in two tertiary referral hospitals in China. Mapping algorithms were derived in this study using two alternative regression methods: the beta regression and a multivariate ordered probit regression. The internal validity of the mapping algorithms was assessed in each case by calculating predictive performance using a bootstrapping procedure.

resultsOf the several algorithms developed using these data, predictive performance was shown to be better when VAS pain was included as a predictor and when the multivariate ordered probit regression method was used, rather than the beta regression method. The algorithms developed were shown to be comparable, in terms of predictive performance, to existing mapping studies despite the small sample size of the estimation data.

conclusionIt is hoped that the availability of these algorithms will facilitate the development of cost-effectiveness studies evaluating RA treatments in the Chinese health care setting.

Indexed as

AlgorithmsAdultAgedArthritis, RheumatoidAsian PeopleCost-Benefit AnalysisCross-Sectional StudiesFemaleHumansMaleMiddle AgedPain MeasurementQuality of LifeSurveys and QuestionnairesCost effectivenessHealth utilitiesMappingRheumatoid arthritis

Identifiers

PMID29974382
PMCPMC6208580

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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.