Evidence map›Paper›PMID 40191156›Full record

ArticleJBMR plus2025

Bone mineral density and cardiovascular diseases: a two-sample Mendelian randomization study.

Ahmed M Salih, Dorina-Gabriela Condurache, Stefania D'Angelo, Elizabeth M Curtis, Steffen E Petersen, Andre Altmann, Nicholas C Harvey, Zahra Raisi-Estabragh

Abstract read
In one paragraph

Article in JBMR plus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Observational
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

8 authors.

Ahmed M SalihWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom.ORCID https://orcid.org/0000-0002-0871-8282
Dorina-Gabriela ConduracheWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom.ORCID https://orcid.org/0000-0003-3985-0814
Stefania D'AngeloMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, United Kingdom.
Elizabeth M CurtisMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, United Kingdom.
Steffen E PetersenWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom.
Andre AltmannDepartment of Medical Physics and Biomedical Engineering, The UCL Hawkes Institute, University College London, London WC1E 6BT, United Kingdom.
Nicholas C HarveyMRC Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, United Kingdom.ORCID https://orcid.org/0000-0002-8194-2512
Zahra Raisi-EstabraghWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London EC1M 6BQ, United Kingdom.ORCID https://orcid.org/0000-0002-7757-5465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The link between BMD and cardiovascular disease (CVD) remains a topic of extensive debate in observational studies, with inconsistent reports regarding the causality of this relationship. This study implements robust methodologies to evaluate the causal relationship between BMD and various CVDs. Two sample Mendelian randomization (MR) method was used to estimate the relationship between genetically predicted BMD and seven key CVDs: atrial fibrillation and flutter, angina, ischemic heart disease, heart failure, hypertension, myocardial infarction, and non-ischemic cardiomyopathy. Data were obtained from independent publicly available genome-wide association studies (GWAS) for BMD and CVDs, using two separate datasets for the cardiovascular outcomes: the UK Biobank cohort (primary analysis) and the FinnGen cohort (validation analysis). The MR Pleiotropy RESidual Sum and Outlier test assessed the heterogeneity and pleiotropy of selected instrumental variables (IVs). We applied the inverse variance weighted model (IVW), weighted median, weighted mode method, and MR-Egger regression model to estimate causal effects. MR results indicate no relationship between BMD and atrial fibrillation and flutter (IVW, beta-estimate: 0.011, SE: 0.03,

Indexed as

BMDcardiovascular diseasescausalitygenome-wide association studyMendelian randomizationosteoporosis

Identifiers

PMID40191156
PMCPMC11972088

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.