Evidence map›Paper›PMID 41803543›Full record

ArticleEndocrine2026

Separate and joint associations of morning plasma cortisol and aldosterone with Cardiovascular - Kidney - Metabolic syndrome in Chinese Hakka adults.

Lingyu Ye, Yezhou Wu, Huannan Wei, Xuefang Liang, Jingwei Lin, Shengzhu Huang, Zengnan Mo, Mingli Li

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2026. 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

8 authors.

Lingyu YeInstitute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Yezhou WuCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Huannan WeiInstitute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Xuefang LiangCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Jingwei LinInstitute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Shengzhu HuangCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China. hshzhu@sr.gxmu.edu.cn.
Zengnan MoInstitute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, Guangxi, China. mozengnan@gxmu.edu.cn.
Mingli LiCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China. limingli@sr.gxmu.edu.cn.ORCID 0000-0003-1274-0236

Funding

the Guangxi Key Laboratory for Genomic and Personalized Medicine 22-35-17the Guangxi Key Research and Development Project Guike AB21196022the Major Project of Guangxi Innovation Driven AA18118016the National Natural Science Foundation of China 82270806the Natural Science Foundation of Guangxi Zhuang Autonomous Region 2024GXNFSBA010192the Natural Science Foundation of Guangxi Zhuang Autonomous Region Grant Nos. 2023JJB140545
6 · The paper itself

Abstract

backgroundAdvanced stages of cardiovascular-kidney-metabolic syndrome (CKMs) are associated with a markedly increased risk of mortality. However, the individual and combined effects of cortisol (COR) and aldosterone (ALD) on CKMs remain unclear. We aimed to investigate their separate and joint associations with CKMs stages and major components.

methodThis cross-sectional study included 8,781 participants to investigate the separate and joint associations of COR and ALD with CKMs and its components, using linear regression, logistic regression, restricted cubic spline analyses (RCS), interaction analyses, and stratified analyses.

resultBeyond associations with CKMs staging-related continuous indicators and key components, higher quartiles of COR (Q4 vs. Q1, OR = 1.56, 95%CI, 1.26–1.95) and ALD (Q4 vs. Q1, OR = 1.33, 95%CI, 1.07–1.64) were independently associated with higher odds of advanced CKMs. RCS revealed significant nonlinear associations between log-transformed COR and ALD levels and advanced CKMs. A significant additive interaction was observed between COR and ALD on advanced CKMs (RERI = 0.94, 95%CI, 0.35–1.52; AP = 0.41, 95%CI, 0.30–0.52; S = 3.75, 95%CI, 1.84–7.63). Co-exposure analyses showed a 46% higher odds of advanced CKMs in the “High COR, High ALD” group (OR = 1.46, 95%CI, 1.19–1.80, P < 0.001) compared to the “Low COR, Low ALD” group, with consistent trends across most subgroups.

conclusionBoth COR and ALD show significant associations with advanced CKMs. The joint assessment of COR and ALD improves the identification of high-risk individuals, underscoring the value of adrenal hormone profiling in CKMs risk stratification.

Indexed as

AldosteroneCardiovascular DiseasesHydrocortisoneKidney DiseasesMetabolic SyndromeAdultAgedChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedAldosteroneHydrocortisoneAldosteroneCardiovascular-Kidney-Metabolic syndromeChinese hakka adultsCortisol

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.