Evidence map›Paper›PMID 41368184›Full record

ArticleFrontiers in nutrition2025

Association of SII and SIRI with incidence of cardiovascular disease in cardiovascular-kidney-metabolic syndrome: a prospective cohort study.

Chen Pengfei, Megan Lui, Lixiao Zhang, Chen Chen, Tianyu Wang, Hou Ailin, Deng Pan, Wenxi Yu, Jianpeng Du, Ming Guo and 1 more

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. 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

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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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  3. Observational
  4. Review
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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

11 authors.

Chen Pengfei *Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Megan Lui *Department of Population Health Sciences, Weill Cornell Medical College, New York, NY, United States.
Lixiao Zhang *Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Chen ChenXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Tianyu WangXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Hou AilinXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Deng PanHangzhou Traditional Chinese Medicine Hospital, Hangzhou, China.
Wenxi YuXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Jianpeng DuXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Ming GuoXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Dazhuo ShiXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between systemic immune-inflammation biomarkers, the Systemic Immune-Inflammation Index (SII) and the Systemic Inflammation Response Index (SIRI), and cardiovascular disease (CVD) in cardiovascular-kidney-metabolic (CKM) syndrome remains unclear. Methods: Individuals with CKM syndrome at stages 0-3 from UK Biobank were included in this study. Cox regression models were used to assess the association of SII and SIRI with incidence of CVD. Restricted cubic spline (RCS) models were applied to examine nonlinear longitudinal associations. Subgroup stratified by CKM stages were analyzed. Results: A total of 301,631 participants with CKM stages 0 (14.1%), 1 (19.4%), 2 (56.7%), and 3 (9.8%) were included in this study. During a median follow-up of 13.0 years, CVD incidence occurred in 35,782 (11.86%) participants. After adjustment, the elevated SII (HR: 1.07, 95% CI: 1.05-1.10, Conclusion: As the main systemic immune-inflammation biomarkers, the elevated SII and SIRI in CKM syndrome were significantly associated with increased risk of CVD incidence.

Indexed as

cardiovascular disease incidencecardiovascular-kidney-metabolic syndromesystemic immune-inflammation indexsystemic inflammation response indexUK biobank

Identifiers

PMID41368184
PMCPMC12683910

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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.