Evidence map›Paper›PMID 41626161›Full record

ArticleFrontiers in oncology2025

MTPC integration for improved diagnosis of pleural effusion.

Shuai Zhao, Jiajia Liu, Jing Chen, Ji Shi, Ming Ma, Haiyang Yan, Jingna Sun, Yan Geng

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shuai ZhaoXi'an Jiaotong University, Xi'an, Shaanxi, China.
Jiajia LiuDepartment of Clinical Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Jing ChenDepartment of Clinical Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Ji ShiDepartment of Anesthesiology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Ming MaDepartment of Clinical Laboratory, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Haiyang YanDepartment of Clinical Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Jingna SunDepartment of Clinical Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Yan GengClinical Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pleural effusion is clinically common with diverse etiologies, and differentiating benign from malignant cases is critical for treatment planning and prognosis assessment. Traditional single diagnostic methods have inherent limitations, leading to diagnostic challenges. This study aimed to develop a multi-modal diagnostic panel (MTPC) to improve the accuracy and efficiency of initial pleural effusion diagnosis. Methods: A total of 369 patients (264 with malignant pleural effusion and 105 with benign pleural effusion) were enrolled retrospectively. The MTPC panel integrated four diagnostic modalities: methylation biomarkers (PTGER4 and SHOX2), tumor markers (CEA and CYFRA21-1), DNA ploidy analysis, and cytological examination. Diagnostic performance was evaluated using sensitivity, specificity, and area under the receiver operating characteristic curve (AUC). Additional analyses were performed for cytology-undetermined and cytology-negative cases. Results: Among immunological tumor markers, CEA exhibited the highest specificity (98.1%) and CYFRA21-1 the highest sensitivity (56.8%). Combined PTGER4 and SHOX2 methylation detection achieved a sensitivity of 65.9% and specificity of 92.4%. The MTPC panel demonstrated the best diagnostic performance, with an AUC of 0.8698, sensitivity of 90.2%, and specificity of 83.8%. In cytology-undetermined cases, MTPC reduced "cytology undetermined" reports by 78.4% and missed diagnoses via "negative" reports by 92.3%. Discussion: The MTPC panel effectively integrates molecular, immunological, chromosomal, and cytomorphological data, significantly improving the diagnostic efficiency of pleural effusion. It addresses the limitations of single diagnostic methods and provides more reliable evidence for clinicians, facilitating early and accurate differentiation of benign and malignant pleural effusions.

Indexed as

DNA ploidy analysisgene methylationMTPC panelpleural effusiontumor markers

Identifiers

PMID41626161
PMCPMC12855110

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