Using the 5-Item Modified Frailty Index to Predict Breast-Q Scores— an Analysis of 2,160 Autologous Breast Reconstruction Patients.
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
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Wolters Kluwer
2024-01-01
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Series: | Plastic and Reconstructive Surgery, Global Open |
Online Access: | http://journals.lww.com/prsgo/fulltext/10.1097/01.GOX.0001006040.31071.56 |
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author | Minji Kim, BS Barkat Ali, MD Catherine Ly, MD Kevin Zhang, BA Lillian Boe, PhD Carrie S. Stern, MD Robert J. Allen, Jr., MD Evan Matros, MD, MMSc Jonas A. Nelson, MD, MPH Babak J. Mehrara, MD |
author_facet | Minji Kim, BS Barkat Ali, MD Catherine Ly, MD Kevin Zhang, BA Lillian Boe, PhD Carrie S. Stern, MD Robert J. Allen, Jr., MD Evan Matros, MD, MMSc Jonas A. Nelson, MD, MPH Babak J. Mehrara, MD |
author_sort | Minji Kim, BS |
collection | DOAJ |
first_indexed | 2024-03-08T10:12:35Z |
format | Article |
id | doaj.art-58c8be1380dd4ebeb24cbaef51b53bfe |
institution | Directory Open Access Journal |
issn | 2169-7574 |
language | English |
last_indexed | 2024-03-08T10:12:35Z |
publishDate | 2024-01-01 |
publisher | Wolters Kluwer |
record_format | Article |
series | Plastic and Reconstructive Surgery, Global Open |
spelling | doaj.art-58c8be1380dd4ebeb24cbaef51b53bfe2024-01-29T07:01:28ZengWolters KluwerPlastic and Reconstructive Surgery, Global Open2169-75742024-01-01121S1363610.1097/01.GOX.0001006040.31071.56202401001-00055Using the 5-Item Modified Frailty Index to Predict Breast-Q Scores— an Analysis of 2,160 Autologous Breast Reconstruction Patients.Minji Kim, BS0Barkat Ali, MD1Catherine Ly, MD2Kevin Zhang, BA3Lillian Boe, PhD4Carrie S. Stern, MD5Robert J. Allen, Jr., MD6Evan Matros, MD, MMSc7Jonas A. Nelson, MD, MPH8Babak J. Mehrara, MD91 Memorial Sloan Kettering Cancer Center, Plastic and Reconstructive Surgery Service, Department of Surgery, New York, NY2 Memorial Sloan Kettering Cancer Center, New York City, NY2 Memorial Sloan Kettering Cancer Center, New York City, NY3 Memorial Sloan Kettering Cancer Center, New York, NY4 Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY3 Memorial Sloan Kettering Cancer Center, New York, NY1 Memorial Sloan Kettering Cancer Center, Plastic and Reconstructive Surgery Service, Department of Surgery, New York, NY5 Division of Plastic Surgery, Memorial Sloan Kettering Cancer Center, New York, NY6 Plastic and Reconstructive Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY7 Plastic and Reconstructive Service, Department of Surgery, Division of Plastic Surgery, Memorial Sloan Kettering Cancer Center, New York, NYhttp://journals.lww.com/prsgo/fulltext/10.1097/01.GOX.0001006040.31071.56 |
spellingShingle | Minji Kim, BS Barkat Ali, MD Catherine Ly, MD Kevin Zhang, BA Lillian Boe, PhD Carrie S. Stern, MD Robert J. Allen, Jr., MD Evan Matros, MD, MMSc Jonas A. Nelson, MD, MPH Babak J. Mehrara, MD Using the 5-Item Modified Frailty Index to Predict Breast-Q Scores— an Analysis of 2,160 Autologous Breast Reconstruction Patients. Plastic and Reconstructive Surgery, Global Open |
title | Using the 5-Item Modified Frailty Index to Predict Breast-Q Scores— an Analysis of 2,160 Autologous Breast Reconstruction Patients. |
title_full | Using the 5-Item Modified Frailty Index to Predict Breast-Q Scores— an Analysis of 2,160 Autologous Breast Reconstruction Patients. |
title_fullStr | Using the 5-Item Modified Frailty Index to Predict Breast-Q Scores— an Analysis of 2,160 Autologous Breast Reconstruction Patients. |
title_full_unstemmed | Using the 5-Item Modified Frailty Index to Predict Breast-Q Scores— an Analysis of 2,160 Autologous Breast Reconstruction Patients. |
title_short | Using the 5-Item Modified Frailty Index to Predict Breast-Q Scores— an Analysis of 2,160 Autologous Breast Reconstruction Patients. |
title_sort | using the 5 item modified frailty index to predict breast q scores an analysis of 2 160 autologous breast reconstruction patients |
url | http://journals.lww.com/prsgo/fulltext/10.1097/01.GOX.0001006040.31071.56 |
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