Pleural effusions: the diagnostic separation of transudates and exudates.

By R. Light, M. I. Macgregor, P. Luchsinger, W. C. Ball. 1972

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Cynthia Rudin
2. Berk Ustun
3. Tong Wang
4. Stefano Tracà
5. N. Maskell
6. Y. C. Lee
7. C. Hooper
8. Ş. Ertekin

Citations in the corpus

• Supersparse linear integer models for optimized medical scoring systems (2015, background): “…et al., 1997); • TIMI, to assess the risk of death and ischemic events (Antman et al., 2000); • SIRS, to detect system inflammatory response syndrome (Bone et al., 1992); • Ranson Criteria for acute pancreatitis (Ranson et al., 1974); • Light’s Criteria for pleural effusions (Light et al., 1972).”
• A Bayesian Approach to Learning Scoring Systems (2015, unknown): “SAPS I, II, and III, which model mortality of patients in intensive care;(8,17,18) APACHE I, II, and III, which model mortality of patients in intensive care;(6,19,20) CHADS2, which calculates the risk of stroke in patients with atrial fibrillation;(1) TIMI, which models mortality and ischemic event”
• P LEURAL E FFUSION (2002, unknown): “There are 2 primary means by which the loculations can be broken down: (1) fibrinolytic therapy via chest tubes, or (2) thoracoscopy with the breakdown of adhesions.”
• Investigation of a unilateral pleural effusion in adults: British Thoracic Society pleural disease guideline 2010 (2010, background): “This classification is not accurate when serum protein is abnormal or when the pleural fluid protein is close to 30 g/l and, as this is very common, the application of Light’s criteria is always recommended.(30) A considerable number of other biochemical markers have been compared with Light’s crite”
• Supersparse Linear Integer Models for Interpretable Classification (2013, background): “– Light’s Criteria for transudative from exudative pleural effusions [42].”