Evidence map›Paper›PMID 30779814›Full record

SynthesisPloS one2019

Trustworthiness of randomized trials in endocrinology-A systematic survey.

José Gerardo González-González, Edgar Gerardo Dorsey-Treviño, Neri Alvarez-Villalobos, Francisco Jesús Barrera-Flores, Alejandro Díaz González-Colmenero, Carolina Quintanilla-Sánchez, Victor M Montori, Rene Rodriguez-Gutierrez

Abstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

8 authors.

José Gerardo González-GonzálezEndocrinology Division, Department of Internal Medicine, University Hospital "Dr. José E. González", Universidad Autónoma de Nuevo León, Monterrey, México.
Edgar Gerardo Dorsey-TreviñoEndocrinology Division, Department of Internal Medicine, University Hospital "Dr. José E. González", Universidad Autónoma de Nuevo León, Monterrey, México.ORCID 0000-0001-6082-0631
Neri Alvarez-VillalobosPlataforma INVEST Medicina UANL-KER Unit Mayo Clinic (KER Unit México), Universidad Autónoma de Nuevo León, Monterrey, México.
Francisco Jesús Barrera-FloresPlataforma INVEST Medicina UANL-KER Unit Mayo Clinic (KER Unit México), Universidad Autónoma de Nuevo León, Monterrey, México.
Alejandro Díaz González-ColmeneroPlataforma INVEST Medicina UANL-KER Unit Mayo Clinic (KER Unit México), Universidad Autónoma de Nuevo León, Monterrey, México.
Carolina Quintanilla-SánchezPlataforma INVEST Medicina UANL-KER Unit Mayo Clinic (KER Unit México), Universidad Autónoma de Nuevo León, Monterrey, México.
Victor M MontoriKnowledge and Evaluation Research Unit in Endocrinology, Mayo Clinic, Rochester, MN, United States of America.
Rene Rodriguez-GutierrezEndocrinology Division, Department of Internal Medicine, University Hospital "Dr. José E. González", Universidad Autónoma de Nuevo León, Monterrey, México.ORCID 0000-0002-3022-5302

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTrustworthy (i.e. low risk of bias) randomized clinical trials (RCTs) play an important role in evidence-based decision making. We aimed to systematically assess the risk of bias of trials published in high-impact endocrinology journals.

methodsWe searched the MEDLINE/PubMed database between 2014 and 2016 for phase 2-4 RCTs evaluating endocrine-related therapies. Reviewers working independently and in duplicate used the Cochrane Risk of Bias Tool (CCRBT) to determine the extent to which the methods reported protected the results of each RCT from bias.

resultsWe assessed 292 eligible RCTs, of which 40% (116) were judged to be at low risk, 43% (126) at moderate, and 17% (50) at high risk of bias. Blinding of outcome assessment was the least common domain reported 43% (125), while selective reporting of outcomes was the most common 97% (282). In multivariable analysis, RCTs with a parallel design (OR 2.4; 95% CI; 1.2-4.6) and funded by for-profit sources (OR 2.2; 95% CI; 1.3-3.6) were more likely to be at low risk of bias.

conclusionsTrustworthy evidence should ultimately shape care to improve the likelihood of desirable patient outcomes. Six out-of 10 RCTs published in top endocrine journals are at moderate/high-risk of bias. Improving this should be a priority in endocrine research.

Indexed as

Randomized Controlled Trials as TopicBone DiseasesCardiovascular DiseasesDatabases, FactualDiabetes MellitusEndocrine System DiseasesHumansRisk

Identifiers

PMID30779814
PMCPMC6380622

What OpenQuestion holds

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LicenceCC BY
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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.