Evidence map›Paper›PMID 33789151›Full record

ReviewJournal of clinical epidemiology2021

A review of pragmatic trials found a high degree of diversity in design and scope, deficiencies in reporting and trial registry data, and poor indexing.

Stuart G Nicholls, Kelly Carroll, Spencer Phillips Hey, Merrick Zwarenstein, Jennifer Zhe Zhang, Hayden P Nix, Jamie C Brehaut, Joanne E McKenzie, Steve McDonald, Charles Weijer and 2 more

Abstract readReview
In one paragraph

Review in Journal of clinical epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

12 authors.

Stuart G NichollsClinical Epidemiology Program, Ottawa Hospital Research Institute (OHRI). Electronic address: snicholls@ohri.ca.
Kelly CarrollClinical Epidemiology Program, Ottawa Hospital Research Institute (OHRI).
Spencer Phillips HeyCEO, Prism Analytic Technologies; Cambridge, MA.
Merrick ZwarensteinCentre for Studies in Family Medicine, Department of Family Medicine, Schulich School of Medicine & Dentistry, Western University, 1151 Richmond Street, London, Ontario, Canada, N6A 3K7; Department of Family Medicine, Western University, London, Canada; Schulich School of Medicine & Dentistry, Western University, London, Canada.
Jennifer Zhe ZhangSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada.
Hayden P NixSchulich School of Medicine & Dentistry, Western University, London, Canada.
Jamie C BrehautClinical Epidemiology Program, Ottawa Hospital Research Institute (OHRI); School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada.
Joanne E McKenzieSchool of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Victoria 3004, Australia.
Steve McDonaldSchool of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Victoria 3004, Australia.
Charles WeijerDepartment of Medicine, Western University, London, Canada; Department of Epidemiology and Biostatistics, Western University, London, Canada; Department of Philosophy, Western University, London, Canada.
Dean A FergussonClinical Epidemiology Program, Ottawa Hospital Research Institute (OHRI); School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada; Department of Medicine, University of Ottawa, Ottawa, Canada.
Monica TaljaardClinical Epidemiology Program, Ottawa Hospital Research Institute (OHRI); School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada.

Funding

Training Core (I)U54AG063546 · NIA · BROWN UNIVERSITY · PI JOSEPH E. GAUGLER · 2019 to 2026
$125.9M
CIHR PJT-153045NIA NIH HHS U54 AG063546
6 · The paper itself

Abstract

objectiveWe established a large database of trials to serve as a resource for future methodological and ethical analyses. Here, we use meta-data to describe the broad landscape of pragmatic trials including research areas, identification as pragmatic, quality of trial registry data and enrolment. STUDY DESIGN AND

settingTrials were identified by a validated search filter and included if a primary report of a health-related randomized trial published January 2014-April 2019. Data were collated from MEDLINE, Web of Science, ClinicalTrials.gov, and full text.

results4337 eligible trials were identified from 13,065 records, of which 1988 were registered in ClinicalTrials.gov. Research areas were diverse, with the most common being general and internal medicine; public, environmental and occupational health; and health care sciences and services. The term "pragmatic" was seldom used in titles or abstracts. Several domains in ClinicalTrials.gov had questionable data quality. We estimated that one-fifth of trials under-accrued by at least 15%.

conclusionThere is a need to improve reporting of pragmatic trials and quality of trial registry data. Under accrual remains a challenge in pragmatic RCTs despite calls for more streamlined recruitment approaches. The diversity of pragmatic trials should be reflected in future ethical analyses.

Indexed as

RegistriesAbstracting and IndexingHumansPragmatic Clinical Trials as TopicResearch DesignDatabase searchingData qualityInterventionPragmatic trialsRegistrationReportingTrial design

Identifiers

PMID33789151
PMCPMC8996736

What OpenQuestion holds

Textmetadata
LicenceTDM
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.