Evidence map›Paper›PMID 42381881›Full record

ArticleFrontiers in endocrinology2026

Association between systemic inflammation response index and risk of major adverse cardiovascular events in adults with and without metabolic syndrome: a prospective cohort study in Shanghai, Pudong.

Qiqi Meng, Juzhong Ke, Xiaonan Wang, Hua Qiu, Qingping Liu, Jiaojiao Gao, Jiahui Song, Yang Liu, Qian Xu, Mengyao Wu and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 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

16 authors.

Qiqi MengShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Juzhong KeShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Xiaonan WangShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Hua QiuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Qingping LiuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Jiaojiao GaoShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Jiahui SongShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Yang LiuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Qian XuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Mengyao WuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Bo HuangShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Yuling QianShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Lin SongShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Xiaonan RuanShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Kang WuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.
Yi ZhouShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Pudong Institute of Preventive Medicine of Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the prognostic value of the systemic inflammation response index (SIRI) for major adverse cardiovascular events (MACE) among adults with metabolic syndrome (MS), and to determine whether MS status modifies the association between SIRI and incident MACE. Methods: This prospective cohort study enrolled 3,198 participants from Pudong New Area, Shanghai, with a median follow-up of 43 months. Baseline characteristics were compared across SIRI quartiles stratified by MS status. Multivariable Cox proportional hazards regression models were constructed to evaluate the independent association between SIRI and MACE. Restricted cubic spline (RCS) analysis was performed to examine the dose-response relationship. Interaction analyses were conducted to assess effect modification by key metabolic components. Results: Of 3,198 participants, 1,318 had MS and 1,880 did not. Higher SIRI quartiles were associated with unfavorable metabolic profiles in both groups. Compared with non-MS participants in the lowest SIRI quartile, participants with MS in the highest SIRI quartile exhibited the greatest risk of MACE (HR = 2.33, 95% CI: 1.64-3.30, P < 0.001). Among participants with MS, the highest quartile demonstrated a 38% elevated risk compared with the lowest quartile (HR = 1.38, 95% CI: 1.08-1.77, P = 0.01). RCS analysis indicated a linear positive association between SIRI and MACE risk among participants with MS (P for overall association = 0.02). A significant non-linear interaction was identified between SIRI and fasting plasma glucose (P for interaction = 0.04). Conclusion: Elevated SIRI is independently associated with an increased risk of incident MACE, and MS status significantly modifies this association. SIRI represents a promising and readily available biomarker for cardiovascular risk stratification, especially among individuals with MS. Combined interventions targeting systemic inflammation and glycemic control may reduce the risk of MACE in this high-risk population.

Indexed as

Cardiovascular DiseasesInflammationMetabolic SyndromeAdultBiomarkersChinaFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisProspective StudiesRisk FactorsBiomarkerscardiovascular riskinflammationMACEprospective cohort studySIRI

Identifiers

PMID42381881
PMCPMC13314495

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Registered trials

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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.