Evidence map›Paper›PMID 37984882›Full record

ArticleESC heart failure2024

Association of anaemia on heart failure and left ventricular function: A bidirectional Mendelian randomization study.

Yuchen Ying, Jiachun Ye, Zhechen Yuan, Dihui Cai

Open access · goldAbstract read
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Article in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 3 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Yuchen YingDepartment of Cardiology, Ningbo Medical Center of Lihuili Hospital, Ningbo, China.
Jiachun YeDepartment of Cardiology, Ningbo Medical Center of Lihuili Hospital, Ningbo, China.
Zhechen YuanDepartment of Otolaryngology Head and Neck Surgery, Ningbo No. 2 Hospital, Ningbo, China.
Dihui CaiDepartment of Cardiology, Ningbo Medical Center of Lihuili Hospital, Ningbo, China.ORCID https://orcid.org/0000-0002-8153-3647
Ningbo Medical Center Lihuili Hospital · CNNingbo No. 2 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsObservational studies have suggested that anaemia is associated with an increased risk of heart failure (HF). But the potential causal association is not clear. We aimed to investigate the association between anaemia and HF risk. METHODS AND

resultsA Mendelian randomization (MR) analysis was performed to confirm the causal association of anaemia with the risk of HF and left ventricular structure and function. Furthermore, a reverse-direction MR analyses was conducted to assess the causal effect of HF on anaemia. The MR analysis indicated that genetically predicted anaemia is associated with the increased risk of HF (meta: odd ratio (OR) = 1.12; 95% confidence interval (CI) [1.04, 1.20]; P = 0.002), and left ventricular mass index (β = 1.051; 95% CI [0.384, 1.718]; P = 0.002), left ventricular mass (β = 2.063; 95% CI [0.578, 3.547]; P = 0.006), left atrial minimum volume (β = 0.076; 95% CI [0.008, 0.143]; P = 0.028), and left atrial maximum volume (β = 0.090; 95% CI [0.023, 0.157]; P = 0.009). In the reverse-direction MR analyses, we found that genetic susceptibility to HF was significantly associated with the increased risk of anaemia (meta: OR = 1.40; 95% CI [1.24, 1.59]; P = 1.79 × 10

conclusionsThis MR study supports the genetic evidence that there is bidirectional causality between anaemia and the risk of HF as well as anaemia may cause left ventricular hypertrophy and enlargement of the left atrium. Considering the adverse causal effects between the two diseases, more attention should be paid to the prevention and treatment of anaemia in patients with HF.

Indexed as

AnemiaHeart FailureHumansHypertrophy, Left VentricularMendelian Randomization AnalysisVentricular Function, LeftAnaemiaHeart failureLeft ventricular structure and functionMendelian randomization

Identifiers

PMID37984882
PMCPMC10804204
OpenAlexW4388866070

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LicenceCC BY-NC-ND
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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.