Evidence map›Paper›PMID 24932522›Full record

SynthesisPloS one2014

Choosing important health outcomes for comparative effectiveness research: a systematic review.

Elizabeth Gargon, Binu Gurung, Nancy Medley, Doug G Altman, Jane M Blazeby, Mike Clarke, Paula R Williamson

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 168 papers, 35 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
168citing papers in PubMed, 35 pooled it
128.4field-weighted citation impact, top 1% of its field
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

168 citing papers in PubMed, 35 syntheses or guidelines pooled it, 339 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. Pooled it
  15. Pooled it
  16. Pooled it
  17. Pooled it
  18. Pooled it
  19. Pooled it
  20. Pooled it

108 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 1 country.

Elizabeth GargonUniversity of Liverpool, Department of Biostatistics, Liverpool, United Kingdom.
Binu GurungUniversity of Liverpool, Department of Biostatistics, Liverpool, United Kingdom.
Nancy MedleyUniversity of Liverpool, Department of Biostatistics, Liverpool, United Kingdom.
Doug G AltmanUniversity of Oxford, Centre for Statistics in Medicine, Botnar Research Centre, Oxford, United Kingdom.
Jane M BlazebySchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Mike ClarkeQueens University Belfast, Institute of Clinical Sciences, Block B, Royal Hospitals, Belfast, United Kingdom.
Paula R WilliamsonUniversity of Liverpool, Department of Biostatistics, Liverpool, United Kingdom.
University of Liverpool · GBQueen's University Belfast · GBUniversity of Bristol · GBUniversity of Oxford · GB

Funding

Cancer Research UK 16895Medical Research Council G0800800Medical Research Council G0901530Medical Research Council MR/J004847/1
6 · The paper itself

Abstract

backgroundA core outcome set (COS) is a standardised set of outcomes which should be measured and reported, as a minimum, in all effectiveness trials for a specific health area. This will allow results of studies to be compared, contrasted and combined as appropriate, as well as ensuring that all trials contribute usable information. The COMET (Core Outcome Measures for Effectiveness Trials) Initiative aims to support the development, reporting and adoption of COS. Central to this is a publically accessible online resource, populated with all available COS. The aim of the review we report here was to identify studies that sought to determine which outcomes or domains to measure in all clinical trials in a specific condition and to describe the methodological techniques used in these studies.

methodsWe developed a multi-faceted search strategy for electronic databases (MEDLINE, SCOPUS, and Cochrane Methodology Register). We included studies that sought to determine which outcomes/domains to measure in all clinical trials in a specific condition.

resultsA total of 250 reports relating to 198 studies were judged eligible for inclusion in the review. Studies covered various areas of health, most commonly cancer, rheumatology, neurology, heart and circulation, and dentistry and oral health. A variety of methods have been used to develop COS, including semi-structured discussion, unstructured group discussion, the Delphi Technique, Consensus Development Conference, surveys and Nominal Group Technique. The most common groups involved were clinical experts and non-clinical research experts. Thirty-one (16%) studies reported that the public had been involved in the process. The geographic locations of participants were predominantly North America (n = 164; 83%) and Europe (n = 150; 76%).

conclusionsThis systematic review identified many health areas where a COS has been developed, but also highlights important gaps. It is a further step towards a comprehensive, up-to-date database of COS. In addition, it shows the need for methodological guidance, including how to engage key stakeholder groups, particularly members of the public.

Indexed as

Outcome Assessment, Health CareClinical Trials as TopicComparative Effectiveness ResearchDatabases, BibliographicExpert TestimonyHumansMEDLINEPublic Opinion

Identifiers

PMID24932522
PMCPMC4059640
OpenAlexW2007311930

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.