Evidence map›Paper›PMID 25886370›Full record

ArticleTrials2015

Is the relationship among outcome variables shown in randomized trials?

David L Schriger, Richelle J Cooper, Ana Lopez-O'Sullivan, Carter Wystrach, Douglas G Altman

Abstract read
In one paragraph

Article in Trials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

5 authors.

David L SchrigerDepartment of Emergency Medicine, University of California, 924 Westwood Blvd, Suite 300, Los Angeles, CA, 90024, USA. schriger@ucla.edu.
Richelle J CooperDepartment of Emergency Medicine, University of California, 924 Westwood Blvd, Suite 300, Los Angeles, CA, 90024, USA. richelle@ucla.edu.
Ana Lopez-O'SullivanDepartment of Emergency Medicine, University of California, 924 Westwood Blvd, Suite 300, Los Angeles, CA, 90024, USA. lopez.ana@gmail.com.
Carter WystrachDepartment of Emergency Medicine, University of California, 924 Westwood Blvd, Suite 300, Los Angeles, CA, 90024, USA. CWystrach@mednet.ucla.edu.
Douglas G AltmanCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Windmill Road, Oxford, OX3 7LD, UK. doug.altman@csm.ox.ac.uk.

Funding

Cancer Research UK 16895
6 · The paper itself

Abstract

backgroundRandomized controlled trials (RCTs) often have more than one primary outcome and frequently have secondary and harm outcomes. Comparison of outcomes between study arms is the primary focus of RCTs, but there are times when the relation between outcomes is important, such as determining whether an intermediate outcome and a clinical outcome have a strong association. We sought to determine how often reports of RCTs depict the relations among outcomes at the individual patient level and, for those studies that use composite outcomes, how often the relations between component elements are depicted.

methodsWe selected 20 general, specialty and subspecialty medical journals with high impact factors that publish original clinical research. We identified every RCT in the 2011 and 2012 issues and randomly selected 10 articles per journal. For each article we recorded the number of outcomes, the number of composite outcomes and how often the relations between outcomes or elements of composite outcomes were portrayed.

resultsAll but 16 of the 200 RCTs had more than one outcome. Thus, outcomes could have been related in 92% of studies, but such relations were only reported in 2 (1%). A total of 33 (17%) investigations measured a composite outcome, 32 of which showed data for each component. None, however, showed cross-tabulation of the components.

conclusionsReaders are rarely shown the relation between outcomes. Mandatory posting of datasets or requirements for detailed appendices would allow readers to see these cross-tabulations, helping future investigators know which outcomes are redundant, which provide unique information and which are most responsive to changes in the independent variables. While not every relationship between outcomes requires depiction, at present such information is seldom portrayed.

Indexed as

Randomized Controlled Trials as TopicTreatment OutcomeCross-Sectional StudiesHumansPeriodicals as Topic

Identifiers

PMID25886370
PMCPMC4374175

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.