Evidence map›Paper›PMID 40475114›Full record

ReviewCochrane evidence synthesis and methods2024

Trustworthiness assessment of published clinical trials: Literature review of domains and questions.

Zarko Alfirevic, Jo Weeks

Abstract readReview
In one paragraph

Review in Cochrane evidence synthesis and methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  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

2 authors.

Zarko AlfirevicDepartment of Women's and Children's Health University of Liverpool Liverpool UK.ORCID 0000-0001-9276-518X
Jo WeeksDepartment of Women's and Children's Health University of Liverpool Liverpool UK.ORCID 0000-0003-3787-9971

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Historically, peer reviewing has focused on the importance of research questions/hypotheses, appropriateness of research methods, risk of bias, and quality of writing. Until recently, the issues related to trustworthiness-including but not limited to plagiarism and fraud-have been largely neglected because of lack of awareness and lack of adequate tools/training. We set out to identify all relevant papers that have tackled the issue of trustworthiness assessment to identify key domains that have been suggested as an integral part of any such assessment. Methods: We searched the literature for publications of tools, checklists, or methods used or proposed for the assessment of trustworthiness of randomized trials. Data items (questions) were extracted from the included publications and transcribed on Excel including the assessment domain. Both authors then independently recategorised each data item in five domains (governance, plausibility, plagiarism, reporting, and statistics). Results: From the 41 publications we extracted a total of 284 questions and framed 77 summary questions grouped in five domains: governance (13 questions), plausibility (17 questions), plagiarism (4 questions), reporting (29 questions), and statistics (14 questions). Conclusion: The proposed menu of domains and questions should encourage peer reviewers, editors, systematic reviewers and developers of guidelines to engage in a more formal trustworthiness assessment. Methodologists should aim to identify the domains and questions that should be considered mandatory, those that are optional depending on the resources available, and those that could be discarded because of lack of discriminatory power

Identifiers

PMID40475114
PMCPMC11795897

What Socratic 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 Socratic graph.