Evidence map›Paper›PMID 22729670›Full record

ReviewQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2013

Evaluation of content on EQ-5D as compared to disease-specific utility measures.

Fang-Ju Lin, Louise Longworth, A Simon Pickard

Abstract readReview
PubMed Publisher
In one paragraph

Review in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Norwegian and Swedish value sets for the EORTC QLU-C10D utility instrument.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Danish value sets for the EORTC QLU-C10D utility instrument.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  9. Sensitivity of the EQ-5D-5L for fatigue and cognitive problems and their added value in Q-fever patients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  10. Adapting preference-based utility measures to capture the impact of cancer treatment-related symptoms.The European journal of health economics : HEPAC : health economics in prevention and care · 2021
    Article
  11. The added value of the EQ-5D with a cognition dimension in injury patients with and without traumatic brain injury.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Article
  12. Article
  13. Observational
  14. Article
  15. Review
  16. Review
  17. Review
  18. Using existing data to identify candidate items for a health state classification system in multiple sclerosis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2014
    Article
  19. Article
  20. Economic evaluation in short bowel syndrome (SBS): an algorithm to estimate utility scores for a patient-reported SBS-specific quality of life scale (SBS-QoL™).Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2014
    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

3 authors.

Fang-Ju LinCenter for Pharmacoeconomic Research and Department of Pharmacy Practice and Pharmacy Administration, University of Illinois at Chicago, 833 South Wood St., Room 164, M/C 886, Chicago, IL 60612, USA.
Louise Longworth
A Simon Pickard

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe goal of this study was to appraise the extent of unique content on disease-specific preference-based measures (DSPMs) when contrasted with the EQ-5D using published studies and to inform whether EQ-5D could be inadequate as a utility measure in its content coverage for a given disease-specific application.

methodsA structured search of published literature was performed using PubMed and EMBASE/Medline database from Jan 1, 1990 to Mar 31, 2011. Articles were eligible for inclusion if algorithms were developed to convert components from disease-specific measures into utility scores.

resultsOf 1,029 articles identified, 50 studies satisfied the inclusion criteria. The most frequent conditions where DSPMs were developed included cancer (12 studies), coronary artery disease (4 studies), osteoarthritis, rheumatoid arthritis (3 studies of each), obesity, and stroke (2 studies of each). Most studies involved mapping items or scores from disease-specific non-preference-based measures onto a preference-based measure of health such as the EQ-5D. A substantial number of DSPMs appeared to include unique content not covered by EQ-5D dimensions.

conclusionsSeveral conditions were identified as potential areas where the richness of the EQ-5D descriptive system could be enhanced. It is yet unclear whether added dimension(s) would contribute unique explained variance to a utility score. Given the resources required to rigorously develop a utility measure, the need for such measures should be carefully vetted.

Indexed as

Health StatusAlgorithmsArthritis, RheumatoidHumansMaleNeoplasmsOsteoarthritisQuality of LifeSurveys and Questionnaires

Identifiers

What OpenQuestion 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 OpenQuestion graph.