Evidence map›Paper›PMID 36778476›Full record

ArticleResearch square2023

Cardiac MRI to guide heart failure and atrial fibrillation drug discovery: a Mendelian randomization analysis.

Amand Schmidt, Chris Finan, Mimount Bourfiss, Birgitta Velthuis, Esther Puyol-Antón, Abdulrahman Alasiri, Bram Ruijsink, Folkert Asselbergs, Anneline Ter Riele, Jessica van Setten

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 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
–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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 3 countries.

Amand SchmidtUniversity College London.ORCID 0000-0003-1327-0424
Chris FinanUniversity College London.ORCID 0000-0002-3319-1937
Mimount BourfissUniversity College London.
Birgitta VelthuisUniversity College London.
Esther Puyol-AntónUniversity College London.ORCID 0000-0002-9789-6629
Abdulrahman AlasiriUMC Utrecht.ORCID 0000-0003-1450-2936
Bram RuijsinkUniversity College London.
Folkert AsselbergsUCL.
Anneline Ter RieleUMCU.
Jessica van SettenUMCU.ORCID 0000-0002-4934-7510
University Medical Center Utrecht · NLUniversity College Lahore · PK

Funding

Bioinformatics Strategies for Genome-Wide Association StudiesR01LM010098 · NLM · UNIVERSITY OF PENNSYLVANIA · PI MOORE, JASON H., WILLIAMS, SCOTT MATTHEW · 2009 to 2023
$5.1M
British Heart Foundation PG/18/50/33837British Heart Foundation PG/22/10989NLM NIH HHS R01 LM010098Wellcome Trust
6 · The paper itself

Abstract

Background: drug development and disease prevention of heart failure (HF) and atrial fibrillation (AF) are impeded by a lack of robust early-stage surrogates. We determined to what extent cardiac magnetic resonance (CMR) measurements act as surrogates for the development of HF or AF in healthy individuals. Methods: Genetic data was sourced on the association with 22 atrial and ventricular CMR measurements. Mendelian randomization was used to determine CMR associations with atrial fibrillation (AF), heart failure (HF), non-ischemic cardiomyopathy (CMP), and dilated cardiomyopathy (DCM). Additionally, for the CMR surrogates of AF and HF, we explored their association with non-cardiac traits. Results: In total we found that 9 CMR measures were associated with the development of HF, 7 with development of non-ischemic CMR, 6 with DCM, and 12 with AF. biventricular ejection fraction (EF), biventricular or end-systolic volumes (ESV) and left-ventricular (LV) end diastolic volume (EDV) were associated with all 4 cardiac outcomes. Increased LV-MVR (mass to volume ratio) affected HF (odds ratio (OR) 0.83, 95%CI 0.79; 0.88), and DCM (OR 0.26, 95%CI 0.20; 0.34. We were able to identify 9 CMR surrogates for HF and/or AF (including LV-MVR, biventricular EDV, ESV, and right-ventricular EF) which associated with non-cardiac traits such as blood pressure, lung function traits, BMI, cardioembolic stroke, and late-onset Alzheimer's disease. Conclusion: CMR measurements may act as surrogate endpoints for the development of HF (including non-ischemic CMP and DCM) or AF. Additionally, we show that changes in cardiac function and structure measured through CMR, may affect diseases of other organs leading to lung disease or late-onset Alzheimer's disease.

Identifiers

PMID36778476
PMCPMC9915782
OpenAlexW4318972815

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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.