Evidence map›Paper›PMID 32639999›Full record

ArticlePloS one2020

Methods used to assess outcome consistency in clinical studies: A literature-based evaluation.

Ewelina Rogozińska, Elizabeth Gargon, Rocío Olmedo-Requena, Amani Asour, Natalie A M Cooper, Claire L Vale, Janneke Van't Hooft

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Observational
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
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 5 institutions in 3 countries.

Ewelina RogozińskaMeta-Analysis Group, Institute of Clinical Trials and Methodology, MRC Clinical Trials Unit at UCL, London, England, United Kingdom.ORCID 0000-0003-3455-0644
Elizabeth GargonDepartment of Biostatistics, University of Liverpool, Liverpool, England, United Kingdom.
Rocío Olmedo-RequenaDepartment of Preventive Medicine and Public Health, School of Medicine, University of Granada, Granada, Spain.
Amani AsourWomen's Health Research Unit, Queen Mary University of London, London, England, United Kingdom.
Natalie A M CooperWomen's Health Research Unit, Queen Mary University of London, London, England, United Kingdom.
Claire L ValeMeta-Analysis Group, Institute of Clinical Trials and Methodology, MRC Clinical Trials Unit at UCL, London, England, United Kingdom.
Janneke Van't HooftMeta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, United States of America.
Queen Mary University of London · GBMRC Clinical Trials Unit at UCL · GBProtein Metrics (United States) · USUniversidad de Granada · ESUniversity of Liverpool · GB

Funding

Medical Research Council MC_UU_12023/24
6 · The paper itself

Abstract

Evaluation studies of outcomes used in clinical research and their consistency are appearing more frequently in the literature, as a key part of the core outcome set (COS) development. Current guidance suggests such evaluation studies should use systematic review methodology as their default. We aimed to examine the methods used. We searched the Core Outcome Measures in Effectiveness Trials (COMET) database (up to May 2019) supplementing it with additional resources. We included evaluation studies of outcome consistency in clinical studies across health subjects and used a subset of A MeaSurement Tool to Assess systematic Reviews (AMSTAR) 2 (items 1-9) to assess their methods. Of 93 included evaluation studies of outcome consistency (90 full reports, three summaries), 91% (85/93) reported performing literature searches in at least one bibliographic database, and 79% (73/93) was labelled as a "systematic review". The evaluations varied in terms of satisfying AMSTAR 2 criteria, such that 81/93 (87%) had implemented PICO in the research question, whereas only 5/93 (6%) had included the exclusions list. None of the evaluation studies explained how inconsistency of outcomes was detected, however, 80/90 (88%) concluded inconsistency in individual outcomes (66%, 55/90) or outcome domains (20%, 18/90). Methods used in evaluation studies of outcome consistency in clinical studies differed considerably. Despite frequent being labelled as a "systematic review", adoption of systematic review methodology is selective. While the impact on COS development is unknown, authors of these studies should refrain from labelling them as "systematic review" and focus on ensuring that the methods used to generate the different outcomes and outcome domains are reported transparently.

Indexed as

Delivery of Health CarePublicationsTreatment OutcomeDatabases, BibliographicDiagnostic Tests, RoutineHumansOutcome Assessment, Health Care

Identifiers

PMID32639999
PMCPMC7343158
OpenAlexW3041966995

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.