Evidence map›Paper›PMID 36185220›Full record

ArticleFrontiers in oncology2022

The value of narrow-band imaging bronchoscopy in diagnosing central lung cancer.

Juanjuan Zhu, Rui Liu, Xiancheng Wu, Qin Li, Beilei Gong, Yuanbing Shen, Yurong Ou, Wei Li

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. A Deceptive Tracheal Mass Mimicking Asthma.Journal of Brown hospital medicine · 2024
    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

8 authors.

Juanjuan ZhuProvincial Key Laboratory of Respiratory Disease in Anhui, Department of Respiratory Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Rui LiuProvincial Key Laboratory of Respiratory Disease in Anhui, Department of Respiratory Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Xiancheng WuProvincial Key Laboratory of Respiratory Disease in Anhui, Department of Respiratory Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Qin LiProvincial Key Laboratory of Respiratory Disease in Anhui, Department of Respiratory Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Beilei GongProvincial Key Laboratory of Respiratory Disease in Anhui, Department of Respiratory Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Yuanbing ShenProvincial Key Laboratory of Respiratory Disease in Anhui, Department of Respiratory Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Yurong OuDepartment of Pathology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Wei LiProvincial Key Laboratory of Respiratory Disease in Anhui, Department of Respiratory Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: This research aimed to study the value of narrow-band imaging(NBI) in the diagnosis of central lung cancer. Materials and methods: This study included 916 patients with clinical suspected of central lung cancer or follow-up of patients after curative lung cancer surgery. All of the patients were examined by Olympus Evis Lucera electronic bronchoscope system, any sites that were abnormal when viewed by white-light bronchoscopy (WLB) or NBI were biopsied, four to six biopsies were taken at each site of the abnormal region visualized as lesions, we record the endoscopic features of NBI and compared with histopathology results, to evaluate the diagnostic value of NBI for central lung cancer and the relationship between vascular patterns of NBI and histological types of lung cancer, and try to establish a multinomial logistic regression model for predicting the histological types of lung cancer. The biopsy specimens were examined by CD34 antibody through immunohistochemistry (IHC) method, CD34 marked microvessel density(MVD), compared the number of microvessels between benign and malignant diseases and the number between different histological types of lung cancer, to verify the results of NBI. Results: NBI provided high sensitivity (91.7%), specificity (84.9%), positive predictive value (97.6%), negative predictive value (61.5%), and agreement rate (90.7%). The predominant vascular patterns in the well-defined histological types of lung cancer were dotted blood vessels (121 patients), tortuous blood vessels (248 patients), and abrupt-ending blood vessels (227 patients). Logistic regression analysis of the results showed that smoking status of the patient, combined with vascular patterns under NBI, and age partly affect the histological types of lung cancer. Conclusions: NBI is highly accurate for the diagnosis of central lung cancer.

Indexed as

CD34central lung cancerdiagnosishistological typenarrow-band imagingvascular pattern

Identifiers

PMID36185220
PMCPMC9524255

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