Evidence map›Paper›PMID 37547601›Full record

ArticleFrontiers in medicine2023

Analysis of clinical characteristics of 617 patients with benign airway stenosis.

Jinmei Wei, Shujuan Qin, Wentao Li, Yan Chen, Tingmei Feng, Yuhui Wei, Sen Tan, Guangnan Liu

Abstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

8 authors.

Jinmei WeiDepartment of Respiratory and Critical Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Shujuan QinGuangxi Medical University, Nanning, China.
Wentao LiDepartment of Respiratory and Critical Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yan ChenDepartment of Respiratory and Critical Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Tingmei FengDepartment of Respiratory and Critical Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yuhui WeiGuangxi Medical University, Nanning, China.
Sen TanDepartment of Respiratory and Critical Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Guangnan LiuDepartment of Respiratory and Critical Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Benign airway stenosis (BAS), namely airway narrowing caused by a variety of benign lesions, can lead to varying degrees of breathing difficulties and even death due to asphyxia. This study aimed to elucidate the clinical characteristics of BAS, including etiology, treatment and pathology, by analyzing the clinical data of BAS patients. Methods: A retrospective analysis was conducted using the clinical data of 617 BAS cases from January 2017 to December 2022. The pathological characteristics of the tissues were assessed by hematoxylin-eosin (H&E) and Masson's staining. Besides, protein expression levels were determined by immunohistochemistry (IHC). Results: A total of 617 patients were included (333 females [53.97%] and 284 males [46.03%]), with an average age of 48.93 ± 18.30 (range 14-87). Tuberculosis ( Conclusion: Tuberculosis was the main etiology, and trauma was the secondary etiology. The granulation tissues of BAS were characterized by inflammation, fibrosis and probably EMT. Comprehensive interventional therapy is an effective method of treating BAS.

Indexed as

airway foreign bodybenign airway stenosisepithelial-mesenchymal transitionetiologyfibrosistraumatic airway stenosistuberculous tracheobronchial stenosis

Identifiers

PMID37547601
PMCPMC10397385

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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.