Evidence map›Paper›PMID 37210598›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2023

Value of IL-1β and IL-23 in Predicting 28-Day Mortality Due to Sepsis: A Retrospective Study.

Jing Cao, Wenguang Liu, Yong Li, Bin Chen, Tingfeng Yu, Zhengbing He, Yanke Hong

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In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Jing CaoDepartment of Respiratory Medicine, Yiyang Central Hospital, Yiyang, Hunan, China (mainland).
Wenguang LiuDepartment of Respiratory Medicine, Yiyang Central Hospital, Yiyang, Hunan, China (mainland).
Yong LiDepartment of Respiratory Medicine, Yiyang Central Hospital, Yiyang, Hunan, China (mainland).
Bin ChenDepartment of Respiratory Medicine, Yiyang Central Hospital, Yiyang, Hunan, China (mainland).
Tingfeng YuDepartment of Respiratory Medicine, Yiyang Central Hospital, Yiyang, Hunan, China (mainland).
Zhengbing HeDepartment of Respiratory Medicine, Yiyang Central Hospital, Yiyang, Hunan, China (mainland).
Yanke HongDepartment of Respiratory Medicine, Yiyang Central Hospital, Yiyang, Hunan, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND This research aimed to explore the utility of Interleukin-1ß (IL-1ß) and IL-23 as potential biomarkers for the diagnosis and prognosis of sepsis. MATERIAL AND METHODS This study included 74 adult individuals with sepsis, 45 ICU controls, and 50 healthy individuals attending routine physical examinations. IL-1ß and IL-23 levels were assessed and analyzed on the admission day. Univariate Cox regression analyses were utilized to explore the association of IL-1ß and IL-23 with sepsis survival. Furthermore, receiver operating characteristic (ROC) analysis was employed to evaluate the value of IL-1ß and IL-23 to predict 28-day mortality due to sepsis. RESULTS Serum concentrations of IL-1ß and IL-23 were significantly higher in septic patients relative to healthy and ICU controls (P<0.001). IL-1ß and IL-23 levels in non-survivors were significantly higher than in survivors (P<0.001). IL-1ß (hazard ratio; HR=1.06, P<0.001) and IL-23 (HR=1.02, P=0.031) were independent risk variables for 28-day mortality in sepsis patients, which were strongly associated with the severity of sepsis. The area under the ROC curve for predicting 28-day fatality in sepsis was 0.66 for IL-1ß (P=0.024, 95% confidence interval; CI: 0.54-0.76) and 0.77 for IL-23 (P<0.001, 95% CI: 0.65-0.86). Furthermore, compared with low serum IL-1ß (<9.41 pg/mL) and IL-23 (<6.77 pg/mL) levels, septic patients with high serum IL-1ß (≥9.41 pg/mL) and IL-23 (≥6.77 pg/mL) levels had poorer survival. CONCLUSIONS Serum IL-1ß and IL-23 values were higher in patients with sepsis and are potential diagnostic and prognostic markers for sepsis, but this needs to be confirmed by prospective studies.

Indexed as

Interleukin-1betaInterleukin-23SepsisAdultBiomarkersHumansIntensive Care UnitsPrognosisRetrospective StudiesROC CurveBiomarkersIL1B protein, humanInterleukin-1betaInterleukin-23

Identifiers

PMID37210598
PMCPMC10210832

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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.