Evidence map›Paper›PMID 40821756›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025

Associations Between Fatigue and Cardiovascular-Kidney-Metabolic Syndrome and the Mediating Role of Inflammation.

Yunxia Xie, Keqing Shen, Jingping Xu, Lusha Li, Liying Chen

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Yunxia Xie *Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China.
Keqing Shen *Department of General Practice, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China.
Jingping XuSanjiang Street Community Health Service Centre, Jinhua City, Zhejiang, People's Republic of China.
Lusha LiDepartment of General Practice, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China.
Liying ChenDepartment of General Practice, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China.ORCID 0000-0002-8895-3775

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Fatigue is common in many chronic diseases. The aim of this cross-sectional study was to investigate the association between fatigue and cardiovascular-kidney-metabolic syndrome (CKM) in Chinese asymptomatic individuals undergoing routine health screenings and to explore the mediating role of inflammation. Patients and Methods: The data of 4349 individuals were included in this cross-sectional study. Fatigue was measured with the Fatigue Severity Scale (FSS). The association between fatigue and the severity of CKM syndrome was evaluated via logistic regression analysis. The mediating role of inflammation in fatigue and advanced CKM syndrome was explored using mediation analysis. Results: A total of 4349 participants were included in this study, and 2120 (48.7%) experienced fatigue. Fatigue was associated with a greater risk of developing advanced CKM syndrome (OR 2.597, 95% CI 1.323-5.097, Conclusion: Fatigue is significantly associated with the increased risk of advanced CKM syndrome, especially in young and middle-aged adults. The cause of this association may be that white blood cell count and neutrophil count play a partial role in this relationship.

Indexed as

cardiovascular–kidney–metabolic syndromefatigueinflammationmediating effect

Identifiers

PMID40821756
PMCPMC12357604

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.