Evidence map›Paper›PMID 37940883›Full record

ArticleBMC infectious diseases2023

Biomarkers for distinguishing tuberculous pleural effusion from non-tuberculosis effusion: a retrospective study.

Guo Fei, Mo Yijun, Jin Weijiang, Chen Huimin, Liu Fang

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

13 citing papers in PubMed, 13 citations in OpenAlex.

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  10. The Use of Corticosteroids in Patients With Pleural and Pericardial Tuberculosis.Journal of community hospital internal medicine perspectives · 2025
    Review
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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

5 authors at 1 institution in 1 country.

Guo FeiDepartment of Laboratory Medicine, The First Affiliated Hospital of Ningbo University, 59 Liuting Street, Haishu District, Ningbo, 315010, Zhejiang, China. gfsuccess@163.com.
Mo YijunDepartment of Laboratory Medicine, The First Affiliated Hospital of Ningbo University, 59 Liuting Street, Haishu District, Ningbo, 315010, Zhejiang, China.
Jin WeijiangDepartment of Laboratory Medicine, The First Affiliated Hospital of Ningbo University, 59 Liuting Street, Haishu District, Ningbo, 315010, Zhejiang, China.
Chen HuiminDepartment of Laboratory Medicine, The First Affiliated Hospital of Ningbo University, 59 Liuting Street, Haishu District, Ningbo, 315010, Zhejiang, China.
Liu FangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Ningbo University · CN

Funding

Medical Science and Technology Project of Zhejiang Province No.2019KY561
6 · The paper itself

Abstract

backgroundPleural effusion (PE) is a common clinical feature that presents a diagnostic challenge for clinicians. In this retrospective study, we aimed to assess the biomarkers, ratios, and multiple indicators in serum and Pleural effusion for the differential diagnosis of tuberculous pleural effusion (TPE) from non-tuberculosis effusion (non-TPE).

methodsThe participants, who were divided into two groups: TPE and non-TPE (MPE and PPE), from Ningbo First Hospital, were incorporated in this study. The clinical and laboratory features were collected and analyzed using logistic regression analysis. Twelve biomarkers and their ratios in serum and PE were investigated for TPE versus non-TPE. Additionally, the value of multiple indicators for joint diagnosis was estimated.

resultsBiomarkers and ratios showed good diagnostic performance. The five variables including Serum ADA, IGRA, Effusion ADA, Effusion ADA/Serum ADA and Effusion LDH/Effusion ADA were identified as valuable parameters for differential diagnosis of TPE from non-TPE. The combined diagnosis of the five indexes yielded the highest diagnostic accuracy for TPE with an AUC (0.919), sensitivity (90.30%), and specificity (94.50%).

conclusionsThe biomarkers and ratios demonstrated strong diagnostic performance, and the utilization of multiple indicators for joint diagnosis can improve the diagnostic efficacy of tuberculous pleurisy.

Indexed as

Pleural EffusionTuberculosis, PleuralAdenosine DeaminaseBiomarkersDiagnosis, DifferentialHumansRetrospective StudiesAdenosine DeaminaseBiomarkersArea under the curveBiomarkersMycobacterium tuberculosis(Mtb)Pleural effusionRatiosTuberculous pleural effusion

Identifiers

PMID37940883
PMCPMC10633909
OpenAlexW4388490919

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.