Evidence map›Paper›PMID 37920183›Full record

ArticleFrontiers in cardiovascular medicine2023

Unraveling the relationships between alpha- and beta-adrenergic modulation and the risk of heart failure.

Claire Baudier, Françoise Fougerousse, Folkert W Asselbergs, Mickael Guedj, Michel Komajda, Dipak Kotecha, R Thomas Lumbers, Amand F Schmidt, Benoît Tyl

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 6 institutions in 3 countries.

Claire BaudierTranslational Medicine Division, Institut de Recherches Internationales Servier, Suresnes, France.
Françoise FougerousseCenter for Therapeutic Innovation Cardiovascular & Metabolic Disease, Institut de Recherches Internationales Servier, Suresnes, France.
Folkert W AsselbergsInstitute of Health Informatics, University College London, London, United Kingdom.
Mickael GuedjTranslational Medicine Division, Institut de Recherches Internationales Servier, Suresnes, France.
Michel KomajdaDepartment of Cardiology, Hospital Saint Joseph and Sorbonne University, Paris, France.
Dipak KotechaInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom.
R Thomas LumbersInstitute of Health Informatics, University College London, London, United Kingdom.
Amand F SchmidtInstitute of Health Informatics, University College London, London, United Kingdom.
Benoît TylCenter for Therapeutic Innovation Cardiovascular & Metabolic Disease, Institut de Recherches Internationales Servier, Suresnes, France.
Servier (France) · FRNational Institute for Health Research · GBSorbonne Université · FRUniversity Hospitals Birmingham NHS Foundation Trust · GBUniversity of London · GBUtrecht University · NL

Funding

British Heart Foundation PG/18/50/33837British Heart Foundation PG/22/10989Medical Research Council MR/S003754/1
6 · The paper itself

Abstract

Background: The effects of α and ß adrenergic receptor modulation on the risk of developing heart failure (HF) remains uncertain due to a lack of randomized controlled trials. This study aimed to estimate the effects of α and ß adrenergic receptors modulation on the risk of HF and to provide proof of principle for genetic target validation studies in HF. Methods: Genetic variants within the cis regions encoding the adrenergic receptors α1A, α2B, ß1, and ß2 associated with blood pressure in a 757,601-participant genome-wide association study (GWAS) were selected as instruments to perform a drug target Mendelian randomization study. Effects of these variants on HF risk were derived from the HERMES GWAS (542,362 controls; 40,805 HF cases). Results: Lower α1A or ß1 activity was associated with reduced HF risk: odds ratio (OR) 0.83 (95% CI 0.74-0.93, Conclusions: This study provides genetic evidence that α1A or ß1 receptor inhibition will likely decrease HF risk, while lower α2B activity may increase this risk. Genetic variant analysis can assist with drug development for HF prevention.

Indexed as

adrenergic receptorsalpha-blockersbeta-blockersMendelian randomizationtarget validation, drug

Identifiers

PMID37920183
PMCPMC10619754
OpenAlexW4387742457

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.