Abstract P1. A National Data-Driven Approach to Optimizing Monitoring of Autologous Breast Free Flap Reconstruction: Analysis of 3,666 Patients

Detalles Bibliográficos
Autores principales: Baltodano, Pablo, Schalet, Grant N., Aliu, Oluseyi, Weinberg, Maxie, Ata, Ashar, Rezak, Kristen, Agag, Richard L., Patel, Ashit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2017
Materias:
AAPS 2017 Abstract Supplement
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5361286/
http://dx.doi.org/10.1097/01.GOX.0000513375.97788.56
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author Baltodano, Pablo
Schalet, Grant N.
Aliu, Oluseyi
Weinberg, Maxie
Ata, Ashar
Rezak, Kristen
Agag, Richard L.
Patel, Ashit
author_facet Baltodano, Pablo
Schalet, Grant N.
Aliu, Oluseyi
Weinberg, Maxie
Ata, Ashar
Rezak, Kristen
Agag, Richard L.
Patel, Ashit
author_sort Baltodano, Pablo
collection PubMed
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spelling pubmed-53612862017-03-31 Abstract P1. A National Data-Driven Approach to Optimizing Monitoring of Autologous Breast Free Flap Reconstruction: Analysis of 3,666 Patients Baltodano, Pablo Schalet, Grant N. Aliu, Oluseyi Weinberg, Maxie Ata, Ashar Rezak, Kristen Agag, Richard L. Patel, Ashit Plast Reconstr Surg Glob Open AAPS 2017 Abstract Supplement Wolters Kluwer Health 2017-03-08 /pmc/articles/PMC5361286/ http://dx.doi.org/10.1097/01.GOX.0000513375.97788.56 Text en Copyright © 2017 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially.
spellingShingle AAPS 2017 Abstract Supplement
Baltodano, Pablo
Schalet, Grant N.
Aliu, Oluseyi
Weinberg, Maxie
Ata, Ashar
Rezak, Kristen
Agag, Richard L.
Patel, Ashit
Abstract P1. A National Data-Driven Approach to Optimizing Monitoring of Autologous Breast Free Flap Reconstruction: Analysis of 3,666 Patients
title Abstract P1. A National Data-Driven Approach to Optimizing Monitoring of Autologous Breast Free Flap Reconstruction: Analysis of 3,666 Patients
title_full Abstract P1. A National Data-Driven Approach to Optimizing Monitoring of Autologous Breast Free Flap Reconstruction: Analysis of 3,666 Patients
title_fullStr Abstract P1. A National Data-Driven Approach to Optimizing Monitoring of Autologous Breast Free Flap Reconstruction: Analysis of 3,666 Patients
title_full_unstemmed Abstract P1. A National Data-Driven Approach to Optimizing Monitoring of Autologous Breast Free Flap Reconstruction: Analysis of 3,666 Patients
title_short Abstract P1. A National Data-Driven Approach to Optimizing Monitoring of Autologous Breast Free Flap Reconstruction: Analysis of 3,666 Patients
title_sort abstract p1. a national data-driven approach to optimizing monitoring of autologous breast free flap reconstruction: analysis of 3,666 patients
topic AAPS 2017 Abstract Supplement
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5361286/
http://dx.doi.org/10.1097/01.GOX.0000513375.97788.56
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