Evidence map›Paper›PMID 39618071›Full record

ArticleAnnals of medicine2024

Association between renal function trajectories and risk of cardiovascular disease: a prospective cohort study.

Xuehong Xu, Rulin Ma, Xianghui Zhang, Heng Guo, Mulatibieke Keerman, Xinping Wang, Yu Li, Remina Maimaitijiang, Jia He, Shuxia Guo

Abstract read
In one paragraph

Article in Annals of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  4. Observational
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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

10 authors.

Xuehong XuDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.ORCID 0009-0002-6161-9571
Rulin MaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Xianghui ZhangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Heng GuoDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Mulatibieke KeermanDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Xinping WangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Yu LiDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Remina MaimaitijiangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Jia HeDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.ORCID 0000-0002-4631-4705
Shuxia GuoDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.ORCID 0000-0002-8139-2813

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIt is unclear whether changing trajectories of renal function will increase the risk prediction information of cardiovascular disease (CVD). This study aimed to evaluate the trajectory patterns of estimated glomerular filtration rate (eGFR) and the association between eGFR trajectories and CVD risk.

methodsA total of 4742 participants were included in the cohort from the 51st Regiment of Xinjiang Production and Construction Corps. The study endpoint was the occurrence of CVD events. eGFR trajectories were identified using a linear mixed-effects model in four distinct patterns. Multivariate Cox proportional hazards models analysed the correlations between eGFR trajectories and CVD.

resultsDuring a median follow-up period of 5.7 years, a total of 559 (11.8%) CVD, 404 (8.5%) myocardial infarction (MI), 244 (5.2%) ischemic stroke (IS), and 62 (1.3%) heart failure (HF) incidents occurred. After multivariable adjustment, gradual decline trajectory increased the risk of CVD (

conclusionsDecline and increase of renal function were related to the risk of CVD, MI, and IS in the rural areas of Xinjiang. Monitoring eGFR changing trajectory is of great significance in improving the risk of CVD.

Indexed as

Cardiovascular DiseasesGlomerular Filtration RateMyocardial InfarctionAdultAgedChinaFemaleHeart FailureHumansIschemic StrokeKidneyMaleMiddle AgedProportional Hazards ModelsProspective StudiesRenal Insufficiency, Chroniccardiovascular diseasecohort studyglomerular filtration rateRenal function trajectory

Identifiers

PMID39618071
PMCPMC12002098

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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.