Evidence map›Paper›PMID 33960212›Full record

SynthesisJournal of the American Heart Association2021

Funding of Studies Supporting IA Guideline Recommendations in Cardiovascular Medicine-A Systematic Review.

Emily P Zeitler, Alessio Gasperetti, Shayne E Dodge, Lauren B Cooper, Aaron V Kaplan

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

5 authors.

Emily P ZeitlerHeart and Vascular Center Dartmouth-Hitchcock Medical Center Lebanon NH.
Alessio GasperettiCentro Cardiologico MonzinoIRCCS Milan Italy.
Shayne E DodgeHeart and Vascular Center Dartmouth-Hitchcock Medical Center Lebanon NH.
Lauren B CooperDepartment of Advance Heart Failure & Transplant Cardiology Inova Heart and Vascular Center Fairfax VA.
Aaron V KaplanHeart and Vascular Center Dartmouth-Hitchcock Medical Center Lebanon NH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Each guideline recommendation from the American Heart Association and the American College of Cardiology includes an indication of the level of supporting evidence and the associated strength of recommendation with "IA" recommendations representing those with the highest quality supporting evidence and the least amount of uncertainty for benefit. In this analysis, study type and funding sources were systematically tabulated across these IA guideline recommendations over the past 5 years. Nearly half of studies supporting IA guideline recommendations were randomized controlled trials (45%). Overall, about one third of studies supporting IA recommendations were publicly funded (34.9%) with slightly more funded through industry sources (43.5%). Funding sources varied based on the type of intervention being studied with randomized controlled trials of device, diagnostic, and pharmacological interventions reflecting predominantly industry-funded studies. Over time, studies supporting IA cardiology guideline are funded by industry about twice as often as public sources. Thus, data of adequate quality to support cardiovascular guideline recommendations come from a variety of sources.

Indexed as

Practice Guidelines as TopicAmerican Heart AssociationCardiologyHumansResearch DesignSocieties, MedicalUnited Statesguidelinerandomized controlled trialsystematic review

Identifiers

PMID33960212
PMCPMC8200695

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.