Evidence map›Paper›PMID 37529046›Full record

ArticleFrontiers in immunology2023

Kidney function and cardiovascular diseases: a large-scale observational and Mendelian randomization study.

Chang Hu, Yiming Li, Yaoyao Qian, Zhenying Wu, Bo Hu, Zhiyong Peng

Abstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

6 authors.

Chang HuDepartment of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Yiming LiDepartment of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Yaoyao QianDepartment of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Zhenying WuDepartment of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Bo HuDepartment of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Zhiyong PengDepartment of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prior observational studies have found an association between kidney function and cardiovascular diseases (CVDs). However, these studies did not investigate causality. Therefore, the aim of this study is to examine the causal relationship between kidney function and CVDs. Methods: We utilized data from the eICU Collaborative Research Database (eICU-CRD) from the years 2014-2015 to evaluate the observational association between renal failure (RF) and CVDs. To investigate the causal effects of kidney function (estimated glomerular filtration rate [eGFR] and chronic kidney disease [CKD]) and CVDs (including atrial fibrillation [AF], coronary artery disease [CAD], heart failure [HF], any stroke [AS], and any ischemic stroke [AIS]), we conducted a two-sample bidirectional Mendelian randomization (MR) analysis. Results: In the observational analysis, a total of 157,883 patients were included. After adjusting for potential confounding factors, there was no significant association between baseline RF and an increased risk of developing CVDs during hospitalization [adjusted odds ratio (OR): 1.056, 95% confidence interval (CI): 0.993 to 1.123, Conclusion: Our study provides evidence for causal effects of CVDs on kidney function. However, the evidence to support the causal effects of kidney function on CVDs is currently insufficient. Further mechanistic studies are required to determine the causality.

Indexed as

Atrial FibrillationCardiovascular DiseasesHeart FailureRenal InsufficiencyRenal Insufficiency, ChronicHumansKidneyMendelian Randomization Analysiscardiovascular diseaseschronic kidney diseaseestimated glomerular filtration ratekidney functionMendelian randomization

Identifiers

PMID37529046
PMCPMC10390297

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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.