Prediction model for 30-day morbidity after gynecological malignancy surgery

OBJECTIVE: The potential risk of postoperative morbidity is important for gynecologic cancer patients because it leads to delays in adjunctive therapy and additional costs. We aimed to develop a preoperative nomogram to predict 30-day morbidity after gynecological cancer surgery. METHODS: Between 20...

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Détails bibliographiques
Publié dans:PLoS One
Auteurs principaux: Shim, Seung-Hyuk, Lee, Sun Joo, Dong, Meari, Suh, Jung Hwa, Kim, Seo Yeon, Lee, Ji Hye, Kim, Soo-Nyung, Kang, Soon-Beom, Kim, Jayoun
Format: Artigo
Langue:Inglês
Publié: Public Library of Science 2017
Sujets:
Research Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5453555/
https://ncbi.nlm.nih.gov/pubmed/28570652
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0178610
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