Evidence map›Paper›PMID 34772470›Full record

ArticleHereditas2021

Establishment and validation of a logistic regression model for prediction of septic shock severity in children.

Yujie Han, Lili Kang, Xianghong Liu, Yuanhua Zhuang, Xiao Chen, Xiaoying Li

Abstract read
In one paragraph

Article in Hereditas, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Yujie HanDepartment of Neonatal, Qilu Children's Hospital of Shandong University, No. 23976, Huaiyin District, Jinan City, 250022, Shandong, People's Republic of China.
Lili KangDepartment of Neonatal, Qilu Children's Hospital of Shandong University, No. 23976, Huaiyin District, Jinan City, 250022, Shandong, People's Republic of China.
Xianghong LiuDepartment of Neonatal, Qilu Children's Hospital of Shandong University, No. 23976, Huaiyin District, Jinan City, 250022, Shandong, People's Republic of China.
Yuanhua ZhuangDepartment of Neonatal, Qilu Children's Hospital of Shandong University, No. 23976, Huaiyin District, Jinan City, 250022, Shandong, People's Republic of China.
Xiao ChenDepartment of Neonatal, Qilu Children's Hospital of Shandong University, No. 23976, Huaiyin District, Jinan City, 250022, Shandong, People's Republic of China.
Xiaoying LiDepartment of Neonatal, Qilu Children's Hospital of Shandong University, No. 23976, Huaiyin District, Jinan City, 250022, Shandong, People's Republic of China. lixiaoyingsd2020@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeptic shock is the most severe complication of sepsis, and is a major cause of childhood mortality, constituting a heavy public health burden.

methodsWe analyzed the gene expression profiles of septic shock and control samples from the Gene Expression Omnibus (GEO). Four differentially expressed genes (DEGs) from survivor and control groups, non-survivor and control groups, and survivor and non-survivor groups were selected. We used data about these genes to establish a logistic regression model for predicting the survival of septic shock patients.

resultsLeave-one-out cross validation and receiver operating characteristic (ROC) analysis indicated that this model had good accuracy. Differential expression and Gene Set Enrichment Analysis (GSEA) between septic shock patients stratified by prediction score indicated that the systemic lupus erythematosus pathway was activated, while the limonene and pinene degradation pathways were inactivated in the high score group.

conclusionsOur study provides a novel approach for the prediction of the severity of pathology in septic shock patients, which are significant for personalized treatment as well as prognostic assessment.

Indexed as

SepsisShock, SepticChildHumansLogistic ModelsPrognosisROC CurveLimonene and pinene degradation pathwayLogistic regression modelSeptic shockSurvivalSystemic lupus erythematosus pathway

Identifiers

PMID34772470
PMCPMC8588704

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.