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Performance of a Nomogram Predicting Disease-Specific Survival After an R0 Resection for Gastric Cancer in Patients Receiving Postoperative Chemoradiation Therapy

✍ Scribed by Dikken, Johan L.; Coit, Daniel G.; Baser, Raymond E.; Gönen, Mithat; Goodman, Karyn A.; Brennan, Murray F.; Jansen, Edwin P.M.; Boot, Henk; van de Velde, Cornelis J.H.; Cats, Annemieke; Verheij, Marcel

Book ID: 122246540
Publisher: Elsevier Science
Year: 2014
Tongue: English
Weight: 429 KB
Volume: 88
Category: Article
ISSN: 0360-3016
DOI: 10.1016/j.ijrobp.2013.11.213

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Performance of a Nomogram Predicting Dis

Performance of a Nomogram Predicting Disease-specific Survival After an R0 Resection for Gastric Cancer in Patients Receiving Postoperative Chemoradiation therapy

✍ Verheij, M.; Dikken, J.; Coit, D.; Baser, R.; Gönen, M.; Goodman, K.; Brennan, M 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 54 KB

Validation of a nomogram for predicting

Validation of a nomogram for predicting disease-specific survival after an R0 resection for gastric carcinoma

✍ Koen C. M. J. Peeters; Michael W. Kattan; Henk H. Hartgrink; Elma Klein Kranenba 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 159 KB

## Abstract ## BACKGROUND A statistical model for predicting disease‐specific survival in patients with gastric carcinoma, based on a single U.S. institution experience, was tested for validity in a sample of patients treated at different institutions. ## METHODS The authors analysed 459 patient