Evidence map›Paper›PMID 32533422›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2020

How the EQ-5D utilities are derived matters in Chinese diabetes patients: a comparison based on different EQ-5D scoring functions for China.

Chen-Wei Pan, Ruo-Yu Zhang, Nan Luo, Jun-Yi He, Rui-Jie Liu, Xiao-Hua Ying, Pei Wang

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Psychometric performance of EQ-5D-5L and SF-6Dv2 in patients with lymphoma in China.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
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  7. To what extent does the use of crosswalks instead of EQ-5D value sets impact reimbursement decisions?: a simulation study.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
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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.

Chen-Wei PanSchool of Public Health, Medical College of Soochow University, Suzhou, China.
Ruo-Yu ZhangSchool of Public Health, Fudan University, Shanghai, China.
Nan LuoSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Jun-Yi HeSchool of Public Health, Fudan University, Shanghai, China.
Rui-Jie LiuSchool of Public Health, Fudan University, Shanghai, China.
Xiao-Hua YingSchool of Public Health, Fudan University, Shanghai, China.
Pei WangSchool of Public Health, Fudan University, Shanghai, China. wang_p@fudan.edu.cn.ORCID http://orcid.org/0000-0003-3661-3944

Funding

Shanghai Pujiang Program 18PJC016
6 · The paper itself

Abstract

objectivesIn China, multiple approaches to calculating EQ-5D utilities are available, including the two EQ-5D-3L (3L

methodsCross-sectional data of 289 T2D patients who self-completed both the 5L and 3L questions were used. Agreement were examined using intraclass correlation coefficient (ICC) and Bland-Altman plots. The ability of the EQ-5D utilities in differentiating the patients with and without clinical conditions was evaluated using F-statistics. Their influence on QALY estimation was assessed adopting mean absolute difference (MAD) in utility values between the patients.

resultsThe ICC values were 0.881 (3L

conclusionThe 3L

Indexed as

Health StatusAsian PeopleChinaCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedQuality of LifeSurveys and QuestionnairesChinaDiabetesDiscriminative powerEQ-5D-3LEQ-5D-5LQALY

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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.