Evidence map›Paper›PMID 42030030›Full record

ArticleMediators of inflammation2026

Association Between Sleep and Cardiovascular-Kidney-Metabolic Syndrome: Mediation Analysis of Inflammatory Biomarkers.

Minjie Hu, Ying Xu, Jiao Ming, Xuelin Zhang, Xiaolu Bian, Xinrui Liang, Haiyan Wang, Longyi Zheng, Ying Zhang, Zhiyong Guo

Abstract read
In one paragraph

Article in Mediators of inflammation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Minjie HuDepartment of Nephrology, First Affiliated Hospital of Naval Medical University, Shanghai Changhai Hospital, Shanghai, China, chhospital.com.cn.ORCID https://orcid.org/0009-0006-8348-3934
Ying XuDepartment of Nephrology, Huadong Hospital Affiliated to Fudan University, Shanghai, China, fudan.edu.cn.ORCID https://orcid.org/0000-0003-1225-7754
Jiao MingDepartment of Nephrology, First Affiliated Hospital of Naval Medical University, Shanghai Changhai Hospital, Shanghai, China, chhospital.com.cn.ORCID https://orcid.org/0009-0005-9889-2848
Xuelin ZhangDepartment of Nephrology, First Affiliated Hospital of Naval Medical University, Shanghai Changhai Hospital, Shanghai, China, chhospital.com.cn.ORCID https://orcid.org/0009-0003-4595-5572
Xiaolu BianDepartment of Nephrology, First Affiliated Hospital of Naval Medical University, Shanghai Changhai Hospital, Shanghai, China, chhospital.com.cn.ORCID https://orcid.org/0009-0001-5161-3099
Xinrui LiangDepartment of Nephrology, First Affiliated Hospital of Naval Medical University, Shanghai Changhai Hospital, Shanghai, China, chhospital.com.cn.ORCID https://orcid.org/0009-0002-4799-0059
Haiyan WangDepartment of Nephrology, First Affiliated Hospital of Naval Medical University, Shanghai Changhai Hospital, Shanghai, China, chhospital.com.cn.ORCID https://orcid.org/0009-0004-4386-7242
Longyi ZhengDepartment of Endocrinology, First Affiliated Hospital of Naval Medical University, Shanghai Changhai Hospital, Shanghai, China, chhospital.com.cn.ORCID https://orcid.org/0000-0002-6055-4203
Ying ZhangDepartment of Clinical Pharmacy, General Hospital of Central Theater Command, Wuhan City, Hubei Province, China.ORCID https://orcid.org/0000-0003-2497-518X
Zhiyong GuoDepartment of Nephrology, First Affiliated Hospital of Naval Medical University, Shanghai Changhai Hospital, Shanghai, China, chhospital.com.cn.ORCID https://orcid.org/0000-0001-7816-3270

Funding

Basic Medicine Project of Naval Medical University 2023MS016Basic Medicine Research Program of the First Affiliated Hospital of Naval Medical University 2023PY02Naval Medical University Nurse Funding 2022KYG14Naval Medical University Nurse Funding 2022KYG20Naval Medical University Nurse Funding 2022KYZ06Science and Technology Commission of Shanghai Municipality 25Y12800104Scientific research project of Shanghai Nursing Association 2024MS-B08
6 · The paper itself

Abstract

BACKGROUND AND

aimsSleep disturbances are linked to individual cardiometabolic diseases, but their association with the emerging cardiovascular-kidney-metabolic (CKM) syndrome, a constellation of interrelated conditions, remains less clear. To evaluate the association of sleep factors (sleep duration, diagnosed sleep disorder, self-reported trouble sleeping) with the risk of CKM syndrome. METHODS AND

resultsWe included 11,949 adults from the National Health and Nutrition Examination Survey (NHANES). A composite sleep score (0-3, from healthy to poor) was derived from sleep duration, diagnosed sleep disorder, and self-reported trouble sleeping. CKM syndrome was defined and staged (Stage 0-4) based on the coexistence and severity of cardiometabolic and kidney diseases. Systemic inflammation was assessed using the systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI). A poor sleep pattern was significantly associated with higher odds of CKM syndrome (fully adjusted odds ratio [OR] = 1.64, 95% confidence interval (CI): 1.37-1.95) and with more advanced CKM stages in an ordinal model, indicating a dose-response relationship. In exploratory mediation analysis, SII and SIRI appeared to partially mediate the association between self-reported trouble sleeping and CKM syndrome in initial models. However, this mediating effect was substantially attenuated and became nonsignificant for SII after comprehensive adjustment for adiposity (body mass index (BMI) and waist circumference) and lifestyle factors.

conclusionsPoor sleep patterns are robustly associated with an increased risk and severity of CKM syndrome. While systemic inflammation was correlated with both sleep disturbances and CKM, its role as an independent mediator was largely explained by shared variance with obesity and metabolic factors. These findings underscore sleep health as a potential target for multimodal risk reduction within the CKM framework, though causality needs confirmation in longitudinal studies.

Indexed as

BiomarkersCardiovascular DiseasesInflammationMetabolic SyndromeSleepAdultFemaleHumansMaleMediation AnalysisMiddle AgedNutrition SurveysRisk FactorsSleep DurationSleep Wake DisordersBiomarkerscardiovascular-kidney-metabolic syndromesleep patternsystemic immune inflammation indexsystemic immune response index

Identifiers

PMID42030030
PMCPMC13108432

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.