Evidence map›Paper›PMID 21472392›Full record

SynthesisQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2011

A meta-analysis of health state valuations for people with diabetes: explaining the variation across methods and implications for economic evaluation.

Tom W C Lung, Alison J Hayes, Andrew Hayen, Andrew Farmer, Philip M Clarke

Abstract readMeta-AnalysisSystematic Review
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In one paragraph

Synthesis in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 5 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

32 citing papers in PubMed, 5 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.

Tom W C LungSydney School of Public Health, University of Sydney, Edward Ford Building, Sydney, NSW 2006, Australia. thomas.lung@sydney.edu.au
Alison J Hayes
Andrew Hayen
Andrew Farmer
Philip M Clarke

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo review published studies on the effect of diabetes and its complications on utility scores to establish whether there is systematic variation across studies and to examine the implications for the estimation of quality-adjusted life years (QALYs).

methodsA systematic review was performed using studies reporting QALY measures elicited from people with diabetes including those with a history of complications. Meta-analysis was used to obtain the average utility, and meta-regression was employed to examine the impact of study characteristics and elicitation methods on these values. The effect of different utility scores on QALYs was examined using diabetes simulation models.

resultsIn the meta-analysis based on 45 studies reporting 66 values, the average utility score was 0.76 (95% CI 0.75-0.77). A meta-regression showed significant variation due to age, method of elicitation and the proportion of males. The average utility score for individual complications ranged from 0.48 (95% CI 0.25, 0.71) for chronic renal disease to 0.75 (95% CI 0.73, 0.78) for myocardial infarction, and these differences produced meaningful changes in simulated QALYs. There was significant heterogeneity between studies.

conclusionsWe provide summary utility scores for diabetes and its major complications that could help inform economic evaluation and policy analysis.

Indexed as

Quality-Adjusted Life YearsDatabases, BibliographicDiabetes ComplicationsDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleHumansMale

Identifiers

PMID21472392

What Socratic 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 Socratic graph.