Literature DB >> 29268469

Surgical risk models: how they contribute to improvement of our treatments?

Janusz R Włodarczyk1, Jarosław Kużdżał1.   

Abstract

Year:  2017        PMID： 29268469      PMCID： PMC5721062          DOI： 10.21037/jtd.2017.10.85

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN： 2072-1439            Impact factor:   2.895


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  3 in total

1.  European risk models for morbidity (EuroLung1) and mortality (EuroLung2) to predict outcome following anatomic lung resections: an analysis from the European Society of Thoracic Surgeons database.

Authors:  Alessandro Brunelli; Michele Salati; Gaetano Rocco; Gonzalo Varela; Dirk Van Raemdonck; Herbert Decaluwe; Pierre Emmanuel Falcoz
Journal:  Eur J Cardiothorac Surg       Date:  2017-03-01       Impact factor: 4.191

2.  Risk model of in-hospital mortality after pulmonary resection for cancer: a national database of the French Society of Thoracic and Cardiovascular Surgery (Epithor).

Authors:  Alain Bernard; Caroline Rivera; Pierre Benoit Pages; Pierre Emmanuel Falcoz; Eric Vicaut; Marcel Dahan
Journal:  J Thorac Cardiovasc Surg       Date:  2010-08-09       Impact factor: 5.209

3.  The Society of Thoracic Surgeons Lung Cancer Resection Risk Model: Higher Quality Data and Superior Outcomes.

Authors:  Felix G Fernandez; Andrzej S Kosinski; William Burfeind; Bernard Park; Malcolm M DeCamp; Christopher Seder; Blair Marshall; Mitchell J Magee; Cameron D Wright; Benjamin D Kozower
Journal:  Ann Thorac Surg       Date:  2016-05-19       Impact factor: 4.330
  3 in total

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