Emma L Barber1, Stacie B Dusetzina2, Karyn B Stitzenberg3, Emma C Rossi4, Paola A Gehrig4, John F Boggess4, Joanne M Garrett5. 1. Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, NC, United States; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, United States. Electronic address: embarber@med.unc.edu. 2. Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, United States; Division of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States; Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States; Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States. 3. Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, United States; Division of Surgical Oncology, Department of Surgery, University of North Carolina at Chapel Hill, NC, United States. 4. Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, NC, United States; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, United States. 5. Division of Family Planning, Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, NC, United States.
Abstract
OBJECTIVE: To estimate variation in the use of neoadjuvant chemotherapy by high volume hospitals and to determine the association between hospital utilization of neoadjuvant chemotherapy and survival. METHODS: We identified incident cases of stage IIIC or IV epithelial ovarian cancer in the National Cancer Database from 2006 to 2012. Inclusion criteria were treatment at a high volume hospital (>20 cases/year) and treatment with both chemotherapy and surgery. A logistic regression model was used to predict receipt of neoadjuvant chemotherapy based on case-mix predictors (age, comorbidities, stage etc). Hospitals were categorized by the observed-to-expected ratio for neoadjuvant chemotherapy use as low, average, or high utilization hospitals. Survival analysis was performed. RESULTS: We identified 11,574 patients treated at 55 high volume hospitals. Neoadjuvant chemotherapy was used for 21.6% (n=2494) of patients and use varied widely by hospital, from 5%-55%. High utilization hospitals (n=1910, 10 hospitals) had a median neoadjuvant chemotherapy rate of 39% (range 23-55%), while low utilization hospitals (n=2671, 14 hospitals) had a median rate of 10% (range 5-17%). For all ovarian cancer patients adjusting for clinical and socio-demographic factors, treatment at a hospital with average or high neoadjuvant chemotherapy utilization was associated with a decreased rate of death compared to treatment at a low utilization hospital (HR 0.90 95% CI 0.83-0.97 and HR 0.85 95% CI 0.75-0.95). CONCLUSIONS: Wide variation exists in the utilization of neoadjuvant chemotherapy to treat stage IIIC and IV epithelial ovarian cancer even among high volume hospitals. Patients treated at hospitals with low rates of neoadjuvant chemotherapy utilization experience decreased survival.
OBJECTIVE: To estimate variation in the use of neoadjuvant chemotherapy by high volume hospitals and to determine the association between hospital utilization of neoadjuvant chemotherapy and survival. METHODS: We identified incident cases of stage IIIC or IV epithelial ovarian cancer in the National Cancer Database from 2006 to 2012. Inclusion criteria were treatment at a high volume hospital (>20 cases/year) and treatment with both chemotherapy and surgery. A logistic regression model was used to predict receipt of neoadjuvant chemotherapy based on case-mix predictors (age, comorbidities, stage etc). Hospitals were categorized by the observed-to-expected ratio for neoadjuvant chemotherapy use as low, average, or high utilization hospitals. Survival analysis was performed. RESULTS: We identified 11,574 patients treated at 55 high volume hospitals. Neoadjuvant chemotherapy was used for 21.6% (n=2494) of patients and use varied widely by hospital, from 5%-55%. High utilization hospitals (n=1910, 10 hospitals) had a median neoadjuvant chemotherapy rate of 39% (range 23-55%), while low utilization hospitals (n=2671, 14 hospitals) had a median rate of 10% (range 5-17%). For all ovarian cancerpatients adjusting for clinical and socio-demographic factors, treatment at a hospital with average or high neoadjuvant chemotherapy utilization was associated with a decreased rate of death compared to treatment at a low utilization hospital (HR 0.90 95% CI 0.83-0.97 and HR 0.85 95% CI 0.75-0.95). CONCLUSIONS: Wide variation exists in the utilization of neoadjuvant chemotherapy to treat stage IIIC and IV epithelial ovarian cancer even among high volume hospitals. Patients treated at hospitals with low rates of neoadjuvant chemotherapy utilization experience decreased survival.
Authors: Anna Fagotti; Gabriella Ferrandina; Francesco Fanfani; Giorgia Garganese; Giuseppe Vizzielli; Vito Carone; Maria Giovanna Salerno; Giovanni Scambia Journal: Am J Obstet Gynecol Date: 2008-09-17 Impact factor: 8.661
Authors: Larissa A Meyer; Angel M Cronin; Charlotte C Sun; Kristin Bixel; Michael A Bookman; Mihaela C Cristea; Jennifer J Griggs; Charles F Levenback; Robert A Burger; Gina Mantia-Smaldone; Ursula A Matulonis; Joyce C Niland; David M O'Malley; Alexi A Wright Journal: J Clin Oncol Date: 2016-11-10 Impact factor: 44.544
Authors: Ignace Vergote; Claes G Tropé; Frédéric Amant; Gunnar B Kristensen; Tom Ehlen; Nick Johnson; René H M Verheijen; Maria E L van der Burg; Angel J Lacave; Pierluigi Benedetti Panici; Gemma G Kenter; Antonio Casado; Cesar Mendiola; Corneel Coens; Leen Verleye; Gavin C E Stuart; Sergio Pecorelli; Nick S Reed Journal: N Engl J Med Date: 2010-09-02 Impact factor: 91.245
Authors: Jason D Wright; Thomas J Herzog; Alfred I Neugut; William M Burke; Yu-Shiang Lu; Sharyn N Lewin; Dawn L Hershman Journal: Obstet Gynecol Date: 2012-10 Impact factor: 7.661
Authors: June Y Hou; Michael G Kelly; Herbert Yu; Jessica N McAlpine; Masoud Azodi; Thomas J Rutherford; Peter E Schwartz Journal: Gynecol Oncol Date: 2007-01-18 Impact factor: 5.482
Authors: Robert E Bristow; Marianna L Zahurak; Teresa P Diaz-Montes; Robert L Giuntoli; Deborah K Armstrong Journal: Gynecol Oncol Date: 2009-09-18 Impact factor: 5.482
Authors: Zhixin Wang; Sarah Dilley; HyounKyoung G Park; Alfred A Bartolucci; Chenguang Wang; Warner K Huh; Sejong Bae Journal: Cancer Health Disparities Date: 2019-08-19
Authors: Shiru L Liu; Wing C Chan; Geneviève Bouchard-Fortier; Stephanie Lheureux; Sarah E Ferguson; Monika K Krzyzanowska Journal: Curr Oncol Date: 2022-08-22 Impact factor: 3.109