Evidence map›Paper›PMID 39901277›Full record

ArticleItalian journal of pediatrics2025

The effect of GM-CSF and predictors of treatment outcome in pediatric septic shock patients.

Zhen-Hao Yu, Gui-Xiang Tian, Yao-Dong Wang, Ting-Yan Liu, Peng Shi, Jia-Yun Ying, Wei-Ming Chen, Yu-Feng Zhou, Guo-Ping Lu, Cai-Yan Zhang

Abstract read
In one paragraph

Article in Italian journal of pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Zhen-Hao Yu *Department of Critical Care Medicine, Children's Hospital of Fudan University, Shanghai, China.
Gui-Xiang Tian *Department of Critical Care Medicine, Children's Hospital of Fudan University, Shanghai, China.
Yao-Dong Wang *Department of Critical Care Medicine, Children's Hospital of Fudan University, Shanghai, China.
Ting-Yan LiuDepartment of Critical Care Medicine, Children's Hospital of Fudan University, Shanghai, China.
Peng ShiClinical Research Unit, Children's Hospital of Fudan University, Shanghai, China.
Jia-Yun YingDepartment of Critical Care Medicine, Children's Hospital of Fudan University, Shanghai, China.
Wei-Ming ChenDepartment of Critical Care Medicine, Children's Hospital of Fudan University, Shanghai, China.
Yu-Feng ZhouDepartment of Critical Care Medicine, Children's Hospital of Fudan University, Shanghai, China.
Guo-Ping LuDepartment of Critical Care Medicine, Children's Hospital of Fudan University, Shanghai, China. lgp@fudan.edu.cn.
Cai-Yan ZhangDepartment of Critical Care Medicine, Children's Hospital of Fudan University, Shanghai, China. 17111240001@fudan.edu.cn.

Funding

Clinical Research Plan of Shanghai Hospital Development Center SHDC2022CRS027National Key R&D Program of China 2021YFC2701800, 2021YFC2701805National Natural Science Foundation of China 82202374Shanghai Committee of Science and Technology 22ZR1408500Shanghai Municipal Health System major supports discipline projects 2023ZDFC0103Shanghai Municipal Science and Technology Major Project ZD2021CY001
6 · The paper itself

Abstract

backgroundPediatric septic shock is a critical condition associated with high mortality rates, largely due to sepsis-induced immunosuppression. Granulocyte-macrophage colony-stimulating factor (GM-CSF) has been explored as a therapeutic intervention to counteract this immunosuppression. Despite its potential, the efficacy of GM-CSF in pediatric septic shock has not been clearly established. This study aims to investigate the impact of GM-CSF administration on survival rates and to identify key predictors of treatment outcomes in pediatric septic shock patients.

methodsWe conducted a retrospective cohort study at the Pediatric Intensive Care Unit (PICU) of Children's Hospital of Fudan University, Shanghai, from January 1, 2019, to December 31, 2023. The study included pediatric patients diagnosed with septic shock, analyzing their demographic data, GM-CSF and adjunctive therapies, laboratory results, and clinical outcomes. We employed univariate and multivariate logistic regression models to assess the influence of GM-CSF on 28-day mortality and identify significant predictors of treatment outcomes.

resultsThe study included 200 pediatric patients, with 66 receiving GM-CSF treatment and 134 not treated with GM-CSF. The initial comparison showed a higher 28-day mortality in the GM-CSF group (59.1%) compared to the non-GM-CSF group (35.1%, P = 0.001). Notably, after adjustment for confounding factors, multivariate analysis revealed that the effect of GM-CSF treatment on 28-day mortality among pediatric septic shock patients did not reach statistical significance, with an odds ratio (OR) of 0.472 and a 95% confidence interval (CI) ranging from 0.153 to 1.457 (P = 0.192). However, the analysis indicated a potential trend suggesting that GM-CSF treatment may contribute to a reduction in 28-day mortality. In addition, significant predictors of treatment outcomes included hematopoietic stem cell transplantation (HSCT), lactic acid (LAC) levels, hospital-acquired septic shock (HASS), red blood cell (RBC) count, and platelet (PLT) count.

conclusionsGM-CSF treatment may benefit pediatric septic shock patients, especially those with higher lactic acid, and lower RBC and platelet counts. These factors, which are significant predictors of outcomes, should be monitored during therapy.

Indexed as

Granulocyte-Macrophage Colony-Stimulating FactorShock, SepticChildChild, PreschoolChinaFemaleHumansInfantIntensive Care Units, PediatricMaleRetrospective StudiesSurvival RateTreatment OutcomeGranulocyte-Macrophage Colony-Stimulating FactorGM-CSFImmunomodulationImmunotherapyPediatricSepstic shock

Identifiers

PMID39901277
PMCPMC11792208

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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.