Evidence map›Paper›PMID 26785121›Full record

ReviewPloS one2016

Choosing Important Health Outcomes for Comparative Effectiveness Research: An Updated Review and User Survey.

Sarah L Gorst, Elizabeth Gargon, Mike Clarke, Jane M Blazeby, Douglas G Altman, Paula R Williamson

Abstract readReview
In one paragraph

Review in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 14 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

73 citing papers in PubMed, 14 syntheses or guidelines pooled it.

  1. 'What' and 'How' to Measure in Allergy and Clinical Immunology: A Systematic Review of Core Outcome Sets and Outcome Harmonisation Processes.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026
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13 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

6 authors.

Sarah L GorstDepartment of Biostatistics, University of Liverpool, Liverpool, United Kingdom.
Elizabeth GargonDepartment of Biostatistics, University of Liverpool, Liverpool, United Kingdom.
Mike ClarkeNorthern Ireland Network for Trials Methodology Research, Queen's University Belfast, Belfast, United Kingdom.
Jane M BlazebySchool of Social and Community Medicine, University of Bristol, and Division of Surgery, Head & Neck, University Hospitals NHS Foundation Trust, Bristol, United Kingdom.
Douglas G AltmanCentre for Statistics in Medicine, University of Oxford, Oxford, United Kingdom.
Paula R WilliamsonDepartment of Biostatistics, University of Liverpool, Liverpool, United Kingdom.

Funding

Cancer Research UK 16895Medical Research Council G0901530Medical Research Council MR/K025643/1
6 · The paper itself

Abstract

backgroundA COS represents an agreed minimum set of outcomes that should be measured and reported in all trials of a specific condition. The COMET (Core Outcome Measures in Effectiveness Trials) initiative aims to collate and stimulate the development and application of COS, by including data on relevant studies within a publically available internet-based resource. In recent years, there has been an interest in increasing the development of COS. Therefore, this study aimed to provide an update of a previous review, and examine the quality of development of COS. A further aim was to understand the reasons why individuals are searching the COMET database.

methodsA multi-faceted search strategy was followed, in order to identify studies that sought to determine which outcomes/domains to measure in clinical trials of a specific condition. Additionally, a pop up survey was added to the COMET website, to ascertain why people were searching the COMET database.

resultsThirty-two reports relating to 29 studies were eligible for inclusion in the review. There has been an improvement in the description of the scope of a COS and an increase in the proportion of studies using literature/systematic reviews and the Delphi technique. Clinical experts continue to be the most common group involved in developing COS, however patient and public involvement has increased. The pop-up survey revealed the most common reasons for visiting the COMET website to be thinking about developing a COS and planning a clinical trial.

conclusionsThis update demonstrates that recent studies appear to have adopted a more structured approach towards COS development and public representation has increased. However, there remains a need for developers to adequately describe details about the scope of COS, and for greater public engagement. The COMET database appears to be a useful resource for both COS developers and users of COS.

Indexed as

Outcome Assessment, Health CareAwarenessChoice BehaviorClinical Trials as TopicComparative Effectiveness ResearchDatabases, FactualHumansKnowledgePublishingSurveys and Questionnaires

Identifiers

PMID26785121
PMCPMC4718543

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.