Evidence map›Paper›PMID 38867498›Full record

ArticleESC heart failure2024

Evaluating the prognostic value of systemic immune-inflammatory index in patients with acute decompensated heart failure.

Jiajun Qiu, Xin Huang, Maobin Kuang, Chao Wang, Changhui Yu, Shiming He, Guobo Xie, Zhiyong Wu, Guotai Sheng, Yang Zou

Abstract read
In one paragraph

Article in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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  7. Tumour necrosis factor-Frontiers in nutrition · 2025
    Article
  8. Article
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  10. Systemic Immune-Inflammatory Index as a Prognostic Biomarker in Patients with Heart Failure: A Comprehensive Analysis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
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

10 authors.

Jiajun QiuJiangxi Medical College, Nanchang University, Nanchang, China.
Xin HuangJiangxi Medical College, Nanchang University, Nanchang, China.
Maobin KuangJiangxi Medical College, Nanchang University, Nanchang, China.
Chao WangJiangxi Medical College, Nanchang University, Nanchang, China.
Changhui YuJiangxi Medical College, Nanchang University, Nanchang, China.
Shiming HeJiangxi Medical College, Nanchang University, Nanchang, China.
Guobo XieDepartment of Cardiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Zhiyong WuDepartment of Cardiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Guotai ShengDepartment of Cardiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Yang ZouJiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.ORCID 0000-0002-9373-928X

Funding

Natural Science Foundation of Jiangxi Province 20232BAB216004
6 · The paper itself

Abstract

aimsThe value of the systemic immune-inflammatory index (SII) in assessing adverse outcomes in various cardiovascular diseases has been extensively discussed. This study aims to evaluate the predictive value and risk stratification ability of SII for 30 day mortality in patients with acute decompensated heart failure (ADHF).

methodsThis analysis included 1452 patients hospitalized for ADHF, all the participants being part of the China Jiangxi-acute decompensated heart failure1 project. The risk stratification capability of the SII in patients with ADHF, as well as its correlation with the 30 day mortality risk among ADHF patients, was evaluated utilizing Kaplan-Meier survival analysis and multivariable Cox regression models. A restricted cubic spline was employed to model the dose-response relationship between the two, and the receiver operating characteristic curve was utilized to assess the predictive ability of SII for 30 day mortality.

resultsThe Kaplan-Meier analysis revealed that the risk of mortality in the high SII group (SII ≥ 980 × 10

conclusionsThis study found a significant positive association between SII and 30 day all-cause mortality in ADHF patients. We determined the SII cut-off point for predicting 30 day all-cause mortality in patients with ADHF to be 980 × 10

Indexed as

Heart FailureAcute DiseaseAgedBiomarkersChinaFemaleFollow-Up StudiesHumansInflammationMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentROC CurveSurvival RateBiomarkersacute decompensated heart failureADHFshort‐term prognosticSIIsystemic immune‐inflammatory index

Identifiers

PMID38867498
PMCPMC11424332

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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.