Evidence map›Paper›PMID 39078437›Full record

ReviewAnnals of hematology2024

Neutrophil extracellular traps - an a-list-actor in a variety of diseases.

Na Wang, Xiao-Lin Shi, Dan Li, Bin-Bin Li, Peng Liu, Hong Luo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of hematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Na Wang *College of Medical Laboratory, Dalian Medical University, Dalian, Liaoning, 116044, PR China.
Xiao-Lin Shi *Department of Clinical Laboratory, Weihai Maternal and Child Health Hospital, Weihai, Shandong, 264200, PR China.
Dan LiDepartment of Central Lab, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, 264200, PR China.
Bin-Bin LiDepartment of Central Lab, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, 264200, PR China.
Peng LiuDepartment of Central Lab, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong, 264200, PR China. liupeng2729@163.com.
Hong LuoCollege of Medical Laboratory, Dalian Medical University, Dalian, Liaoning, 116044, PR China. dlmuluo@163.com.

Funding

Incubation Project of Weihai Municipal Hospital FH2002JZ03Incubation Project of Weihai Municipal Hospital FH2022JZ01
6 · The paper itself

Abstract

Neutrophil extracellular traps (NETs) represent a response mechanism in which activated neutrophils release DNA-based webs, adorned with histones and neutrophil proteases, to capture and eliminate invasive microorganisms. However, when these neutrophils become excessively activated, much more proteases associated with NETs are liberated into surrounding tissues or bloodstreams, thereby altering the cellular milieu and causing tissue damage. Recent research has revealed that NETs may play significant roles in the emergence and progression of various diseases, spanning from infections, inflammation to autoimmune disorders and cancers. In this review, we delve deeply into the intricate and complex mechanisms that underlie the formation of NETs and their profound interplay with various clinical pathologies. We aim to describe the application perspectives of NETs related proteins in specific disease diagnosis and treatment.

Indexed as

Autoimmune DiseasesExtracellular TrapsNeoplasmsNeutrophilsAnimalsHumansInfectionsInflammationNeutrophil ActivationAutoimmune diseaseCancerInfectionNeutrophil extracellular traps

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.