Development and Validation of an Easy-to-Use Scoring System Developed from a Nomogram to Identify Malignant Pleural Effusion

2020 ◽  
Author(s):  
Sufei Wang ◽  
Shan Tian ◽  
Yuan Li ◽  
Na Zhan ◽  
Yingyun Guo ◽  
...  
EBioMedicine ◽  
2020 ◽  
Vol 58 ◽  
pp. 102924
Author(s):  
Sufei Wang ◽  
Shan Tian ◽  
Yuan Li ◽  
Na Zhan ◽  
Yingyun Guo ◽  
...  

2018 ◽  
Vol 19 (7) ◽  
pp. 930-939 ◽  
Author(s):  
Ioannis Psallidas ◽  
Nikolaos I Kanellakis ◽  
Stephen Gerry ◽  
Marie Laëtitia Thézénas ◽  
Philip D Charles ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Aihua Wu ◽  
Zhigang Liang ◽  
Songbo Yuan ◽  
Shanshan Wang ◽  
Weidong Peng ◽  
...  

BackgroundThe diagnostic value of clinical and laboratory features to differentiate between malignant pleural effusion (MPE) and benign pleural effusion (BPE) has not yet been established.ObjectivesThe present study aimed to develop and validate the diagnostic accuracy of a scoring system based on a nomogram to distinguish MPE from BPE.MethodsA total of 1,239 eligible patients with PE were recruited in this study and randomly divided into a training set and an internal validation set at a ratio of 7:3. Logistic regression analysis was performed in the training set, and a nomogram was developed using selected predictors. The diagnostic accuracy of an innovative scoring system based on the nomogram was established and validated in the training, internal validation, and external validation sets (n = 217). The discriminatory power and the calibration and clinical values of the prediction model were evaluated.ResultsSeven variables [effusion carcinoembryonic antigen (CEA), effusion adenosine deaminase (ADA), erythrocyte sedimentation rate (ESR), PE/serum CEA ratio (CEA ratio), effusion carbohydrate antigen 19-9 (CA19-9), effusion cytokeratin 19 fragment (CYFRA 21-1), and serum lactate dehydrogenase (LDH)/effusion ADA ratio (cancer ratio, CR)] were validated and used to develop a nomogram. The prediction model showed both good discrimination and calibration capabilities for all sets. A scoring system was established based on the nomogram scores to distinguish MPE from BPE. The scoring system showed favorable diagnostic performance in the training set [area under the curve (AUC) = 0.955, 95% confidence interval (CI) = 0.942–0.968], the internal validation set (AUC = 0.952, 95% CI = 0.932–0.973), and the external validation set (AUC = 0.973, 95% CI = 0.956–0.990). In addition, the scoring system achieved satisfactory discriminative abilities at separating lung cancer-associated MPE from tuberculous pleurisy effusion (TPE) in the combined training and validation sets.ConclusionsThe present study developed and validated a scoring system based on seven parameters. The scoring system exhibited a reliable diagnostic performance in distinguishing MPE from BPE and might guide clinical decision-making.


2019 ◽  
Vol 46 (7) ◽  
pp. 1457-1467 ◽  
Author(s):  
Min-Fu Yang ◽  
Zhao-Hui Tong ◽  
Zhen Wang ◽  
Ying-Yi Zhang ◽  
Li-Li Xu ◽  
...  

Thorax ◽  
2014 ◽  
Vol 69 (12) ◽  
pp. 1098-1104 ◽  
Author(s):  
Amelia O Clive ◽  
Brennan C Kahan ◽  
Clare E Hooper ◽  
Rahul Bhatnagar ◽  
Anna J Morley ◽  
...  

2008 ◽  
Vol 80 (1) ◽  
Author(s):  
Grzegorz Kacprzak ◽  
Jerzy Kołodziej ◽  
Konrad Pawełczyk ◽  
Marek Marciniak ◽  
Adam Rzechonek

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