ArticleRespiratory research2022
Development and validation of a prediction model for tuberculous pleural effusion: a large cohort study and external validation.
Article in Respiratory research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 9 citations in OpenAlex.
- Development of a diagnostic nomogram for tuberculous pleural effusion.Journal of clinical tuberculosis and other mycobacterial diseases · 2026Article
- Derivation and validation of a clinical prediction model incorporating the pleural fluid ADA-to-LDH ratio for differentiating tuberculous from malignant pleural effusions: a multi-center study.BMC pulmonary medicine · 2026Article
- Transthoracic ultrasound features to differentiate tuberculous from malignant pleural effusion: development of a machine learning-based clinical prediction model.Journal of thoracic disease · 2026Article
- Inflammatory Biomarkers and Outcome Heterogeneity in Anti-MDA5 Antibody-Associated Interstitial Lung Disease: A Single-Center Consecutive Cohort Study.Advances in respiratory medicine · 2026Article
- Differentiating tuberculous pleurisy from pulmonary tuberculosis using mNGS: a multicenter cohort analysis.Frontiers in cellular and infection microbiology · 2026Article
- 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
- Development and validation of a prediction model based on a nomogram for tuberculous pleural effusion.Frontiers in medicine · 2025Article
- External Validation and Update of the Risk Prediction Model for Denosumab-Induced Hypocalcemia Developed From a Hospital-Based Administrative Database.JCO clinical cancer informatics · 2024Article
- Performance verification of a biochemical detection system for hydrothorax and ascites and clinical diagnostic accuracy evaluation of exudate and tuberculous effusion.Journal of thoracic disease · 2024Article
- Clinical significance of pleural fluid lactate dehydrogenase/adenosine deaminase ratio in the diagnosis of tuberculous pleural effusion.BMC pulmonary medicine · 2024Article
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8 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundDistinguishing tuberculous pleural effusion (TPE) from non-tuberculosis (TB) benign pleural effusion (BPE) remains to be a challenge in clinical practice. The aim of the present study was to develop and validate a novel nomogram for diagnosing TPE.
methodsIn this retrospective analysis, a total of 909 consecutive patients with TPE and non-TB BPE from Ningbo First Hospital were divided into the training set and the internal validation set at a ratio of 7:3, respectively. The clinical and laboratory features were collected and analyzed by logistic regression analysis. A diagnostic model incorporating selected variables was developed and was externally validated in a cohort of 110 patients from another hospital.
resultsSix variables including age, effusion lymphocyte, effusion adenosine deaminase (ADA), effusion lactatedehy drogenase (LDH), effusion LDH/effusion ADA, and serum white blood cell (WBC) were identified as valuable parameters used for developing a nomogram. The nomogram showed a good diagnostic performance in the training set. A novel scoring system was then established based on the nomogram to distinguish TPE from non-TB BPE. The scoring system showed good diagnostic performance in the training set [area under the curve (AUC) (95% confidence interval (CI)), 0.937 (0.917-0.957); sensitivity, 89.0%, and specificity, 89.5%], the internal validation set [AUC (95%CI), 0.934 (0.902-0.966); sensitivity, 88.7%, and specificity, 90.3%], and the external validation set [(AUC (95%CI), 0.941 (0.891-0.991); sensitivity, 93.6%, and specificity, 87.5%)], respectively.
conclusionsThe study developed and validated a novel scoring system based on a nomogram originated from six clinical parameters. The novel scoring system showed a good diagnostic performance in distinguishing TPE from non-TB BPE and can be conveniently used in clinical settings.
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