Evidence map›Paper›PMID 28148278›Full record

ReviewTrials2017

The pathway to RCTs: how many roads are there? Examining the homogeneity of RCT justification.

Jeffrey Tin Yu Chow, Kevin Lam, Abdul Naeem, Zarique Z Akanda, Francie Fengqin Si, William Hodge

Abstract readReview
In one paragraph

Review in Trials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

6 authors.

Jeffrey Tin Yu ChowDepartment of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada.
Kevin LamDepartment of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada.
Abdul NaeemSchulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada.
Zarique Z AkandaFaculty of Science, The University of Western Ontario, London, Canada.
Francie Fengqin SiDepartment of Ophthalmology, Ivey Eye Institute, St. Joseph's Health Care London, London, Canada.
William HodgeDepartment of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada. William.Hodge@sjhc.london.on.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRandomized controlled trials (RCTs) form the foundational background of modern medical practice. They are considered the highest quality of evidence, and their results help inform decisions concerning drug development and use, preventive therapies, and screening programs. However, the inputs that justify an RCT to be conducted have not been studied.

methodsWe reviewed the MEDLINE and EMBASE databases across six specialties (Ophthalmology, Otorhinolaryngology (ENT), General Surgery, Psychiatry, Obstetrics-Gynecology (OB-GYN), and Internal Medicine) and randomly chose 25 RCTs from each specialty except for Otorhinolaryngology (20 studies) and Internal Medicine (28 studies). For each RCT, we recorded information relating to the justification for conducting RCTs such as average study size cited, number of studies cited, and types of studies cited. The justification varied widely both within and between specialties.

resultsFor Ophthalmology and OB-GYN, the average study sizes cited were around 1100 patients, whereas they were around 500 patients for Psychiatry and General Surgery. Between specialties, the average number of studies cited ranged from around 4.5 for ENT to around 10 for Ophthalmology, but the standard deviations were large, indicating that there was even more discrepancy within each specialty. When standardizing by the sample size of the RCT, some of the discrepancies between and within specialties can be explained, but not all. On average, Ophthalmology papers cited review articles the most (2.96 studies per RCT) compared to less than 1.5 studies per RCT for all other specialties.

conclusionsThe justifications for RCTs vary widely both within and between specialties, and the justification for conducting RCTs is not standardized.

Indexed as

Evidence-Based MedicineMedicineResearch DesignSpecializationHumansPatient SelectionRandomized Controlled Trials as TopicSample SizeClinical trialsEvidence-basedJustificationMethodologyRandomized controlled trials

Identifiers

PMID28148278
PMCPMC5288880

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.