Trial reportEBioMedicine2020
Development and validation of a novel scoring system developed from a nomogram to identify malignant pleural effusion.
Trial report in EBioMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.
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Who cites it
44 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Diagnostic performance of SHOX2 and RASSF1A gene methylation assays in malignant pleural effusion: A systematic review and meta-analysis.Cancer cytopathology · 2025Pooled it
- Poor handling of continuous predictors in clinical prediction models using logistic regression: a systematic review.Journal of clinical epidemiology · 2023Pooled it
- Trial
- Combined carcinoembryonic antigen, carbohydrate antigen 50, and neutrophil gelatinase-associated lipocalin distinguish benign and malignant pleural effusions: a Bayesian analysis.Scientific reports · 2026Article
- Pleural fluid C-C motif chemokine ligand 2 as a diagnostic biomarker for malignant pleural effusion.Journal of thoracic disease · 2026Article
- Incremental predictive value of a CT-based deep learning radiomics model for differentiating benign and malignant pleural effusions.Frontiers in medicine · 2026Article
- Development of a scoring system based on a nomogram to identify malignant pleural effusion.Journal of thoracic disease · 2025Article
- Tumor Marker Test in Cerebrospinal Fluid for Leptomeningeal Metastasis Diagnosis and Response Assessment in Non-Small-Cell Lung Cancer.European journal of neurology · 2025Article
- Risk Factors and Prognostic Models in Acute Large Vessel Occlusion Stroke: Insights From ASPECTS-Net Water Uptake.Brain and behavior · 2025Article
- Nomograms based on clinical factors to predict abnormal metabolism of psychotropic drugs.Biomedical reports · 2025Article
- Identification of Diagnostic Biomarkers for Colorectal Polyps Based on Noninvasive Urinary Metabolite Screening and Construction of a Nomogram.Cancer medicine · 2025Article
- A scoring model based on the pleural effusion adenosine deaminase-to-serum C-reactive protein ratio for differentiating tuberculous pleural effusion from non-tuberculous benign pleural effusion.BMC pulmonary medicine · 2025Article
- Risk factor identification and prediction of pleural effusion following coronary artery bypass grafting.American journal of translational research · 2025Article
- Risk Factors Associated with Virological Failure in HIV Patients with Low Level Viremia: A Retrospective Study.Infection and drug resistance · 2025Article
- Development and validation of a prediction model based on a nomogram for tuberculous pleural effusion.Frontiers in medicine · 2025Article
- Correlation between magnetic resonance imaging (MRI) features and lesion size in focal nodular hyperplasia of the liver.Quantitative imaging in medicine and surgery · 2024Article
- Article
- Experimental validation and comprehensive analysis of m6A methylation regulators in intervertebral disc degeneration subpopulation classification.Scientific reports · 2024Article
- Construction and Evaluation of a Predictive Nomogram for Identifying Premature Failure of Arteriovenous Fistulas in Elderly Diabetic Patients.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Machine learning-based diagnostic model of lymphatics-associated genes for new therapeutic target analysis in intervertebral disc degeneration.Frontiers in immunology · 2024Article
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to establish and validate a novel scoring system based on a nomogram for the differential diagnosis of malignant pleural effusion (MPE) and benign pleural effusion (BPE).
methodsPatients with PE and confirmed aetiology who underwent diagnostic thoracentesis were included in this study. One retrospective set (N = 1261) was used to develop and internally validate the predictive model. The clinical, radiological and laboratory features were collected and subjected to logistic regression analyses. The primary predictive model was displayed as a nomogram and then modified into a novel scoring system, which was externally validated in an independent set (N = 172).
findingsThe novel scoring system was composed of fever (3 points), erythrocyte sedimentation rate (4 points), effusion adenosine deaminase (7 points), serum carcinoembryonic antigen (CEA) (4 points), effusion CEA (10 points) and effusion/serum CEA (8 points). With a cutoff value of 15 points, the area under the curve, specificity and sensitivity for identifying MPE were 0.913, 89.10%, and 82.63%, respectively, in the training set, 0.922, 93.48%, 81.51%, respectively, in the internal validation set and 0.912, 87.61%, 81.36%, respectively, in the external validation set. Moreover, this scoring system was exclusively applied to distinguish lung cancer with PE from tuberculous pleurisy and showed a favourable diagnostic performance in the training and validation sets.
interpretationThis novel scoring system was developed from a retrospective study and externally validated in an independent set based on six easily accessible clinical variables, and it exhibited good diagnostic performance for identifying MPE.
fundingNFSC grants (no. 81572942, no. 81800094).
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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.