Evidence map›Paper›PMID 40385055›Full record

ArticleAmerican journal of translational research2025

Factors influencing the diagnostic accuracy of lung cancer using endobronchial ultrasound-guided transbronchial needle aspiration.

Zhonghan Cai, Yinru Yuan, Zhiliang Zhou, Huo Ding, Yaoqiang Cheng, Li Liang, Zineng Tuo, Rongmei Zhou

Abstract read
In one paragraph

Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Zhonghan CaiDepartment of Respiratory and Critical Care Medicine, Gaozhou People's Hospital Gaozhou 525200, Guangdong, China.
Yinru YuanDepartment of Respiratory and Critical Care Medicine, Gaozhou People's Hospital Gaozhou 525200, Guangdong, China.
Zhiliang ZhouDepartment of Respiratory and Critical Care Medicine, Gaozhou People's Hospital Gaozhou 525200, Guangdong, China.
Huo DingDepartment of Respiratory and Critical Care Medicine, Gaozhou People's Hospital Gaozhou 525200, Guangdong, China.
Yaoqiang ChengDepartment of Respiratory and Critical Care Medicine, Gaozhou People's Hospital Gaozhou 525200, Guangdong, China.
Li LiangDepartment of Respiratory and Critical Care Medicine, Gaozhou People's Hospital Gaozhou 525200, Guangdong, China.
Zineng TuoDepartment of Respiratory and Critical Care Medicine, Gaozhou People's Hospital Gaozhou 525200, Guangdong, China.
Rongmei ZhouDepartment of Respiratory and Critical Care Medicine, Gaozhou People's Hospital Gaozhou 525200, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEndobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is a key diagnostic modality for lung cancer, yet its accuracy varies based on several factors. This study aims to identify factors influencing the diagnostic accuracy of EBUS-TBNA for lung cancer detection.

methodsA retrospective case-control study was conducted on lung cancer patients diagnosed at Gaozhou People's Hospital from October 2021 to September 2023. Patients with lung cancer confirmed by EBUS-TBNA, bronchoscopy with direct biopsy, or surgical intervention were re-evaluated using EBUS-TBNA. Based on diagnostic accuracy, they were classified into an accurate group (n = 204) and an inaccurate group (n = 41). An external validation cohort included 58 lung cancer patients. Data collection encompassed patient demographics and EBUS-TBNA findings. Logistic regression and receiver operating characteristic (ROC) curve analyses were performed to determine factors influencing detection accuracy. A generalized linear model incorporating independent influencing factors was developed to estimate the likelihood of inaccurate EBUS-TBNA detection of lung cancer.

resultsSmoking history [dds ratio (OR), 7.948;

conclusionSmoking history, pathologic subtype, lesion size and aspirate sample characteristics significantly affected the diagnostic accuracy of EBUS-TBNA in lung cancer detection. These insights underscore the importance of considering these factors in clinical practice to optimize EBUS-TBNA's diagnostic performance.

Indexed as

diagnostic accuracyendobronchial ultrasound-guided transbronchial needle aspirationlesion sizeLung cancerpredictive modelsmoking history

Identifiers

PMID40385055
PMCPMC12082559

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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.