Evidence map›Paper›PMID 39355583›Full record

ArticleReviews in cardiovascular medicine2024

Causal Relationships between Lymphocyte Subsets and Risk of Coronary Artery Disease: A Two-Sample Mendelian Randomization Study.

Zhao Ma, Libo Liu, Jinfan Tian, Chenchen Tu, Dongfeng Zhang, Mingduo Zhang, Huan Zhang, Ziyu An, Meichen Sun, Hongjia Zhang and 1 more

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2024. 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.

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

11 authors.

Zhao MaDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.
Libo LiuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.
Jinfan TianDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.
Chenchen TuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.
Dongfeng ZhangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.
Mingduo ZhangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.
Huan ZhangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.
Ziyu AnDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.
Meichen SunDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.
Hongjia ZhangDepartment of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.
Xiantao SongDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Currently, the causal relationship between lymphocyte subsets and coronary artery disease (CAD) remains unclear. Therefore, we utilized Mendelian randomization (MR) to assess the association between lymphocyte subsets and CAD. Methods: We performed a two-sample MR analysis using publicly available genome-wide association studies (GWAS) datasets. The primary method of analysis to comprehensively evaluate causal effects was the inverse variance-weighted (IVW) method. The four additional MR approaches were MR-Egger, weighted median, simple mode, and weighted mode. Sensitivity analysis incorporated Cochran's Q and MR-Egger intercept tests to identify residual heterogeneity and potential horizontal pleiotropy, respectively. The MR-PRESSO distortion test was applied to identify potential pleiotropic outliers. Leave-one-out analysis confirmed that no single single-nucleotide polymorphism (SNP) significantly affected the MR estimate. We conducted reverse MR analysis to investigate the impact of variables correlated with outcomes in forward MR analysis. Results: The IVW method revealed a significant positive association between B cell count and CAD (odds ratio (OR) = 1.08 (95% CI: 1.04, 1.11), Conclusions: Our study suggests that a higher absolute B cell count is linked to an increased risk of CAD and MI.

Indexed as

coronary artery diseaselymphocyte subsetsMendelian randomizationmyocardial infarction

Identifiers

PMID39355583
PMCPMC11440411

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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.