Evidence map›Paper›PMID 40251616›Full record

ArticleRespiratory research2025

Impact of pleural thickness on the sensitivity of computed tomography scan-guided cutting-needle pleural biopsy in diagnosing unexplained exudative pleural effusion.

Rui Xu, Ling Zuo, Chiyong Yang, Li Jiang, Ying Liu, Ping Fan, Kaige Wang, Dan Liu

Abstract read
In one paragraph

Article in Respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Observational
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.

Rui Xu *Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, 37 Guoxue Lane, Wuhou District, Chengdu, 610041, Sichuan Province, China.
Ling Zuo *Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, 37 Guoxue Lane, Wuhou District, Chengdu, 610041, Sichuan Province, China.
Chiyong YangDepartment of Pulmonary and Critical Care Medicine, Renhuai People's Hospital, Renhuai, Guizhou Province, China.
Li JiangDepartment of Pulmonary and Critical Care Medicine, People's Hospital of Mingshan District Ya'an, Ya'an, Sichuan Province, China.
Ying LiuDepartment of Pulmonary and Critical Care Medicine, The First People's Hospital of Longquanyi District Chengdu, Chengdu, Sichuan Province, China.
Ping FanWest China Biobank, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Kaige WangDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, 37 Guoxue Lane, Wuhou District, Chengdu, 610041, Sichuan Province, China. youjiangbuyi@163.com.
Dan LiuDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, 37 Guoxue Lane, Wuhou District, Chengdu, 610041, Sichuan Province, China. liudan10965@wchscu.cn.

Funding

Chengdu Science and Technology Project 2023-YF09-00039-SNNational Natural Science Foundation of China 82173182Science and Technology Program of Sichuan 2023NSFSC1939
6 · The paper itself

Abstract

backgroundIn most cases, patients with pleural effusion require a pleural biopsy to confirm the diagnosis, due to the low diagnostic sensitivity of thoracentesis. Among the different biopsy modalities, real time computed tomography scan-guided cutting-needle pleural biopsy (CT-CNPB) ensures high sensitivity and accessibility. However, there is no study investigating the difference in the diagnostic sensitivity of CT-CNPB for lesions with variable pleural thickness in effusions of different types.

methodsOf the 303 patients who underwent CT-CNPB, 218 met the eligibility criteria and were retrospectively analyzed from November 2021 to June 2024. Patients were divided into malignant pleural effusion (MPE), tuberculosis pleural effusion (TPE), and non-tuberculous benign pleural effusion (BPE) groups according to the diagnosis with a minimum follow-up of 6 months. Pleural thickness was defined as the length of the portion of the puncture needle that passes through the thickened parietal pleura or the pleural lesion (nodule/mass). In further analysis, we compare the differences in sensitivity between subgroups with different pleural thicknesses in each group.

resultsThe overall diagnostic sensitivity is 74.3%. The sensitivity in MPE, TPE, and BPE is 75.7%, 78.6%, and 67.8%, respectively. There was a significant difference in sensitivity between the < 5 mm and ≥ 5 mm groups in MPE and BPE groups but was not observed in the TPE group. In the further analysis, there was a significant difference in sensitivity between < 3 mm and 3-5 mm groups in TPE (p = 0.046) and a significant difference in sensitivity between 3 and 5 mm and 5-10 mm groups in MPE (p = 0.017), but a significant difference was not observed in BPE group.

conclusionCT-CNPB may serve as a preferred diagnostic approach in suspected TPE with pleural thickening ≥ 3 mm and suspected MPE with thickening ≥ 5 mm on chest CT. Where MT is unavailable, CT-CNPB is a viable alternative for suspected MPE or TPE patients with pleural thickening, nodularity, or mass lesions observed on CT. However, in suspected BPE, CT-CNPB alone is often insufficient; integrated clinical, laboratory, and imaging evaluation remains essential.

Indexed as

Image-Guided BiopsyPleuraPleural EffusionPleural Effusion, MalignantTomography, X-Ray ComputedAdultAgedAged, 80 and overBiopsy, NeedleFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityDiagnosisExudative pleural effusionReal time computed tomography scan-guided cutting-needle pleural biopsy

Identifiers

PMID40251616
PMCPMC12008875

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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.