Evidence map›Paper›PMID 37809490›Full record

ArticleHeliyon2023

Systemic immune-inflammation index combined with quick sequential organ failure assessment score for predicting mortality in sepsis patients.

Changya Liu, Xinxin Wu, Rou Deng, Xiangru Xu, Caiyu Chen, Linguangjin Wu, Wen Zhang, Hongqiang Yang, Yuerong Fei, Yuting Sun and 2 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Changya LiuDepartment of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Xinxin WuShanghai Skin Disease Hospital, School of Medicine, Tongji University, 200443, Shanghai, China.
Rou DengDepartment of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Xiangru XuDepartment of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Caiyu ChenDepartment of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Linguangjin WuDepartment of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Wen ZhangDepartment of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Hongqiang YangDepartment of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Yuerong FeiDepartment of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Yuting SunDepartment of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Shuang ZhouShanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Bangjiang FangDepartment of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Longhua Hospital Shanghai University of Traditional Chinese Medicine · CNShanghai University of Traditional Chinese Medicine · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the prognostic ability of systemic immune-inflammation index (SII) combine with quick Sequential Organ Failure Assessment (qSOFA) criteria in predicting the 28-day mortality of sepsis. Methods: A retrospective cohort study was conducted, with the population comprised in whom sepsis was confirmed. Clinical and laboratory data recorded were analyzed. The score of Sequential Organ Failure Assessment (SOFA), SII, qSOFA were calculated. Multivariable regression, receiver operating characteristic (ROC) analysis and Kaplan-Meier method were used to identify and compared the predictors of prognosis among SOFA, qSOFA, and the combination of SII with qSOFA. Results: A total of 349 patients admitted from December 2020 and December 2022 were included in the cohort. 95 (27.2%) of whom had died by day 28. The SII, SOFA, and qSOFA scores were significant higher in the non-survivors than that of survivors (P < 0.05), and identified as independent predictors of sepsis mortality. The addition of SII to qSOFA shown an area under receiver operator characteristic (AUROC) of 0.840 (95% CI: 0.787-0.884), manifested an effective ability in predicting poor outcome than other scoring systems. The optimum cutoff for SII (>1.7668) and qSOFA (>1) represented a high risk level in 28-day mortality of sepsis, were performed and identified in Kaplan-Meier survival curves (log-rank test, HR: 6.942, 95% CI: 3.976-12.121; P < 0.0001). Conclusion: The SII in addition to qSOFA provided an effective prognostic tool for predicting mortality in sepsis.

Indexed as

MortalityQuick sequential organ failure assessmentScoring systemSepsisSystemic immune-inflammation index

Identifiers

PMID37809490
PMCPMC10558729
OpenAlexW4386270600

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.