Evidence map›Paper›PMID 39629231›Full record

ArticleFrontiers in medicine2024

Plasma neutrophil extracellular traps in patients with sepsis-induced acute kidney injury serve as a new biomarker to predict 28-day survival outcomes of disease.

Jian He, Feng Zheng, Lihua Qiu, Yilan Wang, Jing Zhang, Hongwei Ye, Qian Zhang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Unraveling NETs in Sepsis: From Cellular Mechanisms to Clinical Relevance.International journal of molecular sciences · 2025
    Review
  7. Review
  8. Article
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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

7 authors.

Jian He *Department of Intensive Care Unit, First People's Hospital of Changshu City, Changshu Hospital Affiliated to Soochow University, Changshu, Jiangsu, China.
Feng Zheng *Department of Intensive Care Unit, First People's Hospital of Changshu City, Changshu Hospital Affiliated to Soochow University, Changshu, Jiangsu, China.
Lihua QiuDepartment of Intensive Care Unit, First People's Hospital of Changshu City, Changshu Hospital Affiliated to Soochow University, Changshu, Jiangsu, China.
Yilan WangDepartment of Intensive Care Unit, First People's Hospital of Changshu City, Changshu Hospital Affiliated to Soochow University, Changshu, Jiangsu, China.
Jing ZhangDepartment of Intensive Care Unit, First People's Hospital of Changshu City, Changshu Hospital Affiliated to Soochow University, Changshu, Jiangsu, China.
Hongwei YeDepartment of Intensive Care Unit, First People's Hospital of Changshu City, Changshu Hospital Affiliated to Soochow University, Changshu, Jiangsu, China.
Qian ZhangDepartment of Intensive Care Unit, First People's Hospital of Changshu City, Changshu Hospital Affiliated to Soochow University, Changshu, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is currently no accurate, readily available, or validated biomarker for assessing disease severity and survival outcomes in sepsis-induced acute kidney injury (SAKI), which limits the ability to conduct effective therapeutic interventions. The neutrophil extracellular traps (NETs) may be involved in the pathophysiology of SAKI. The present study investigated the predictive value of plasma NETs for the survival outcome of patients with SAKI. Methods: This observational study included 136 SAKI patients, all of whom underwent a 28-day follow-up. According to the follow-up records, SAKI patients were divided into two groups: the non-survivor group (60 subjects) and the survivor group (76 subjects). Blood samples were collected after the diagnosis of AKI to measure three NET markers and 12 inflammatory indices. Correlation analysis, logistic regression analysis, receiver operating characteristic curve analysis, and survival analysis were performed. Results: Compared to survivors, non-survivors among SAKI patients exhibited significantly higher levels of three plasma NET markers (all Conclusion: Plasma NET markers were elevated in SAKI patients with poor outcomes and served as biomarkers for predicting 28-day survival in SAKI patients.

Indexed as

acute kidney injuryinflammationneutrophil extracellular trapssepsissurvival

Identifiers

PMID39629231
PMCPMC11611547

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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.