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Bijan J. Borah
Researcher at Mayo Clinic
Publications - 179
Citations - 3442
Bijan J. Borah is an academic researcher from Mayo Clinic. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 27, co-authored 134 publications receiving 2474 citations. Previous affiliations of Bijan J. Borah include University of North Carolina at Chapel Hill & University of Rochester.
Papers
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Journal ArticleDOI
Enhanced Recovery in Gynecologic Surgery
Eleftheria Kalogera,Jamie N. Bakkum-Gamez,Christopher J. Jankowski,Emanuel C. Trabuco,Jenna K. Lovely,Sarah R. Dhanorker,Pamela L. Grubbs,Amy L. Weaver,Lindsey R. Haas,Bijan J. Borah,April A. Bursiek,Michael Walsh,William A. Cliby,Sean C. Dowdy +13 more
TL;DR: Implementation of enhanced recovery was associated with acceptable pain management with reduced opioids, reduced length of stay with stable readmission and morbidity rates, good patient satisfaction, and substantial cost reductions.
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The impact of uterine leiomyomas: a national survey of affected women.
TL;DR: Uterine leiomyomas cause significant morbidity and when considering treatment, women are most concerned about surgical options, especially women aged <40 years who want to preserve fertility.
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Prospective assessment of survival, morbidity, and cost associated with lymphadenectomy in low-risk endometrial cancer.
Sean C. Dowdy,Bijan J. Borah,Jamie N. Bakkum-Gamez,Amy L. Weaver,Michaela E. McGree,Lindsey R. Haas,Gary L. Keeney,Andrea Mariani,Karl C. Podratz +8 more
TL;DR: Lymphadenectomy dramatically increases morbidity and cost of care without discernible benefits in low-risk EC as defined by the Mayo criteria and in these low- risk patients, hysterectomy with salpingo-oophorectomy alone is appropriate surgical management and should be standard of care.
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The Burden of Uterine Fibroids for African-American Women: Results of a National Survey
TL;DR: African-American women have more severe symptoms, unique concerns, and different information-seeking behavior for fibroids.
Journal ArticleDOI
Highlighting differences between conditional and unconditional quantile regression approaches through an application to assess medication adherence
Bijan J. Borah,Anirban Basu +1 more
TL;DR: Using real-world claims data from a large US health insurer, alternative QR frameworks are implemented to assess the differential impacts of covariates along the distribution of medication adherence among elderly patients with Alzheimer's disease.