Evidence map›Paper›PMID 39809872›Full record

ArticleScientific reports2025

Systemic inflammatory response index improves prognostic predictive value in intensive care unit patients with sepsis.

Tuo Xu, Shuaiwei Song, Ke Zhu, Yin Yang, Chengyu Wu, Naixue Wang, Shu Lu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Evaluation of Systemic Inflammatory Indices in Pregnant Women With Deep Vein Thrombosis.American journal of reproductive immunology (New York, N.Y. : 1989) · 2026
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  17. The Systemic Inflammation Response Index (SIRI) for Stratifying Mortality Risk in Multidrug-Resistant Lower Respiratory Tract Infections Acquired in Hospital Settings.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
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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

7 authors.

Tuo Xu *Xinxiang Central Hospital, Xinxiang, Henan, People's Republic of China.
Shuaiwei Song *Graduate School, Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Ke Zhu *School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, China.
Yin YangThe Fourth Clinical College of Xinxiang Medical University, Xinxiang, Henan, People's Republic of China.
Chengyu WuGraduate School, Xinjiang Medical University, Urumqi, Xinjiang, People's Republic of China.
Naixue WangNantong Sixth People's Hospital, Nantong, Jiangsu, People's Republic of China.
Shu LuNantong University Hospital, Nantong, Jiangsu, People's Republic of China. ntlushu@126.com.

Funding

Jiangsu Commission of Health Z2020034
6 · The paper itself

Abstract

Sepsis is a severe infectious disease with high mortality. However, the indicators used to evaluate its severity and prognosis are relatively complicated. The systemic inflammatory response index (SIRI), a new inflammatory indicator, has shown good predictive value in chronic infection, stroke, and cancer. The purpose of this study was to investigate the connection between sepsis and SIRI and evaluate its predictive usefulness. A total of 401 patients with sepsis were included in this study. Multiple linear regression and logistic regression analyses were performed to evaluate the relationship between SIRI and sepsis. The restricted cubic spline (RCS) method was employed to illustrate the dose-response relationship. The area under the curve (AUC) and decision curve analysis (DCA) were used to evaluate the prognostic value of SIRI. Multiple linear regression analysis revealed a significant positive correlation between SIRI and both blood cell count and Sequential Organ Failure Assessment (SOFA) score. Additionally, higher SIRI levels were significantly linked to a higher risk of sepsis worsening, according to logistic regression analysis. The RCS curve demonstrated that the risk of poor prognosis rose with increasing SIRI, particularly when SIRI exceeded 6.1. Furthermore, AUC and DCA results showed that SIRI had superior predictive value compared to traditional indicators. A higher SIRI is linked to a worse prognosis and more severe sepsis. SIRI may serve as a novel prognostic indicator in sepsis, though further clinical studies are necessary to confirm these findings.

Indexed as

Intensive Care UnitsSepsisSystemic Inflammatory Response SyndromeAdultAgedAged, 80 and overArea Under CurveFemaleHumansMaleMiddle AgedOrgan Dysfunction ScoresPredictive Value of TestsPrognosisROC CurveSeverity of Illness IndexInflammationSepsisSequential organ failure scoreSystemic inflammatory response index

Identifiers

PMID39809872
PMCPMC11732978

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.