Evidence map›Paper›PMID 37304064›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2023

Inadequate Reporting of Cointerventions, Other Methodological Factors, and Treatment Estimates in Cardiovascular Trials: A Meta-Epidemiological Study.

Jonas Bührer, Cinzia Del Giovane, Baris Gencer, Luise Adam, Christina Lyko, Martin Feller, Bruno R Da Costa, Drahomir Aujesky, Douglas C Bauer, Nicolas Rodondi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2023. 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
1.3field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. 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

11 authors at 3 institutions in 3 countries.

Jonas BührerInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Cinzia Del GiovaneInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Baris GencerInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Luise AdamInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Christina LykoInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Martin FellerInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Bruno R Da CostaInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Drahomir AujeskyDepartment of General Internal Medicine, Inselspital, University Hospital of Bern, University of Bern, Switzerland.
Douglas C BauerDepartments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco.
Nicolas RodondiInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
Elisavet MoutzouriInstitute of Primary Health Care (BIHAM), University of Bern, Switzerland.
University of Bern · CHUniversity of California, San Francisco · USUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess how inadequate reporting of cointerventions influences estimated treatment effects in recent cardiovascular trials. Methods: Medline/Embase were systematically searched from January 1, 2011 to July 1, 2021 for trials evaluating pharmacologic interventions on clinical cardiovascular outcomes published in 5 high-impact journals. Information on adequate vs inadequate reporting of cointerventions, blinding, risk of bias due to deviations of intended interventions (low vs high/some concerns), funding (nonindustry vs industry), design (superiority vs noninferiority), and results were assessed by 2 reviewers. The association with effect sizes was assessed using meta-regression random-effect analysis, expressed as ratios of odds ratios (ROR). RORs of >1.0 indicated that trials with the methodological factor pointing to lower quality report larger treatment estimates. Results: In total, 164 trials were included. Of the 164 trials, 124 (74%) did not adequately report cointerventions; 89 of the 164 trials (54%) provided no information regarding cointerventions, and 70 of the 164 (43%) were at risk of bias due to inadequate blinding. Moreover, 86 of the 164 (53%) were at risk of bias due to deviation of intended interventions. Of the 164 trials, 144 (88%) were funded by the industries. Trials with inadequate reporting of cointerventions had larger treatment estimates for the primary end point (ROR, 1.08; 95% CI, 1.01-1.15; Conclusion: We conclude that trials with inadequate reporting of cointerventions showed larger treatment effect estimates, potentially indicating overestimation of therapeutic benefit. Trial Registration: Prospero Identifier: CRD42017072522.

Identifiers

PMID37304064
PMCPMC10250579
OpenAlexW4379135156

What OpenQuestion holds

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Registered trials

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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.