Evidence map›Paper›PMID 35346147›Full record

ArticleBMC pulmonary medicine2022

Neutrophil side fluorescence: a new indicator for predicting the severity of patients with bronchiectasis.

Shiqi Li, Chunxiao Yu, Hongyu Jie, Xinai Han, Shujing Zou, Quanguang Tan, Shugeng Luo, Youming Chen, Jinhong Wang

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Neutrophilic inflammation in bronchiectasis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  3. Article
  4. Precise pathogen detection and clinical characterization of bronchiectasis.Frontiers in cellular and infection microbiology · 2025
    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

9 authors.

Shiqi Li *Department of Respiration, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Chunxiao Yu *Department of Gastroenterology, The Seventh Affiliated Hospital, Southern Medical University, Foshan, China.
Hongyu JieGuangdong Provincial Key Laboratory of Bone and Joint Degeneration Diseases, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Xinai HanGuangdong Provincial Key Laboratory of Bone and Joint Degeneration Diseases, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Shujing ZouDepartment of Respiration, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Quanguang TanDepartment of Respiration, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Shugeng LuoDepartment of Internal Medicine, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Youming ChenDepartment of Clinical Laboratory, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China. cym38432@163.com.
Jinhong WangDepartment of Respiration, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China. leechy911@126.com.

Funding

National Natural Science Foundation of China 31600732Natural Science Foundation of Guangdong Province SKLRD-OP-201804
6 · The paper itself

Abstract

backgroundNeutrophilic inflammation in the airway is a hallmark of bronchiectasis. Neutrophil extracellular traps (NETs) have been reported to play an important role in the occurrence and development of bronchiectasis. Neutrophil side fluorescence is one of the characteristics of neutrophils that can reflect the activation of neutrophils and the formation of NETs.

objectiveTo explore the relationship between the values of neutrophil side fluorescence (NEUT-SFL) in the peripheral blood of bronchiectasis patients, and the severity of the disease.

methods82 patients with bronchiectasis from the Department of Respiratory and Critical Medicine, at the Third Affiliated Hospital of Southern Medical University and were scored with Bronchiectasis Severity Index (BSI) (2019-2021). The clinical data such as the value of NEUT-SFL, neutrophil count, C-reactive protein, and procalcitonin levels were collected and retrospectively analyzed. NEUT-SFL values neutrophil count from 28 healthy subjects were also used to ascertain cut-off values.

resultsBased on the BSI scores, patients were divided into three categories as mild (32%), moderate (29%), and severe (39%). Our results showed that the values of NEUT-SFL were higher in bronchiectasis patients compared to healthy controls. The levels of NEUT-SFL positively correlated with the high BSI scores in patients (P = 0.037, r = 0.23) and negatively correlated with the lung function in these patients (r = - 0.35, P = 0.001). The area under the ROC curve was 0.813, the best cut-off was 42.145, indicating that NEUT-SFL values > 42.145 can potentially predict the severity of bronchiectasis.

conclusionsThe values of NEUT-SFL in the peripheral blood can be used for predicting the severity of bronchiectasis.

Indexed as

BronchiectasisNeutrophilsC-Reactive ProteinHumansLeukocyte CountRetrospective StudiesC-Reactive ProteinBronchiectasisCell population dataNeutrophil extracellular trapsNeutrophil side fluorescence

Identifiers

PMID35346147
PMCPMC8962496

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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.