Literature DB >> 20573392

The National Cancer Database report on advanced-stage epithelial ovarian cancer: impact of hospital surgical case volume on overall survival and surgical treatment paradigm.

Robert E Bristow1, Bryan E Palis, Dennis S Chi, William A Cliby.   

Abstract

OBJECTIVE: To examine the effect of hospital procedure volume and other prognostic variables on overall survival outcome and likelihood of receiving standard recommended care among patients with advanced-stage epithelial ovarian cancer.
METHODS: The National Cancer Data Base (NCDB) was searched for patients undergoing primary treatment for FIGO Stage IIIC/IV epithelial ovarian cancer from 1996 to 2005. The average annual surgical procedure volume was derived for each reporting hospital. Quartile ranking discriminated four groups of hospitals based on annual surgical volume: low (<9), intermediate (9-20), high (21-35), and very high (>35). Cox proportional hazards modeling was used to determine the impact on overall survival of hospital surgical volume adjusted for treatment, FIGO/AJCC stage, ethnicity, age, payer status, household income, and tumor grade. Binomial multivariate logistic regression modeling was used to assess differences in patient demographic, tumor, and treatment variables between high/very high volume hospitals and low/intermediate volume hospitals.
RESULTS: A total of 45,929 patients were identified. After adjusting for other factors, overall survival was significantly correlated with hospital case volume: very high (reference); high (HR 0.98, 95% CI=0.92-1.04); intermediate (HR 1.08, 95% CI=1.01-1.15); and low (HR 1.14, 95% CI=1.07-1.22). Compared to low and intermediate volume hospitals, patients treated at very high and high-volume hospitals were less likely to receive neo-adjuvant chemotherapy (OR=0.33, 95% CI=1.18-1.50) or surgery alone (OR=0.77, 95% CI=0.73-0.82) instead of initial surgery and adjuvant chemotherapy.
CONCLUSIONS: Hospital ovarian cancer surgical volume >or=21 cases/year is associated with a higher likelihood of patients with Stage IIIC/IV epithelial ovarian cancer receiving standard treatment (surgery followed by adjuvant chemotherapy). Even after adjusting for treatment paradigm and other factors, hospital volume >or=21 cases/year was significantly predictive of improved overall survival outcome. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20573392     DOI: 10.1016/j.ygyno.2010.05.025

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  60 in total

1.  Spatial analysis of adherence to treatment guidelines for advanced-stage ovarian cancer and the impact of race and socioeconomic status.

Authors:  Robert E Bristow; Jenny Chang; Argyrios Ziogas; Hoda Anton-Culver; Veronica M Vieira
Journal:  Gynecol Oncol       Date:  2014-03-25       Impact factor: 5.482

2.  Potential Consequences of Minimum-Volume Standards for Hospitals Treating Women With Ovarian Cancer.

Authors:  Jason D Wright; Yongmei Huang; Alexander Melamed; Ana I Tergas; Caryn M St Clair; June Y Hou; Fady Khoury-Collado; Cande V Ananth; Alfred I Neugut; Dawn L Hershman
Journal:  Obstet Gynecol       Date:  2019-06       Impact factor: 7.661

3.  Racial disparities and patterns of ovarian cancer surgical care in California.

Authors:  F W Liu; L M Randall; K S Tewari; R E Bristow
Journal:  Gynecol Oncol       Date:  2013-09-07       Impact factor: 5.482

4.  Spatial analysis of advanced-stage ovarian cancer mortality in California.

Authors:  Robert E Bristow; Jenny Chang; Argyrios Ziogas; Daniel L Gillen; Lu Bai; Veronica M Vieira
Journal:  Am J Obstet Gynecol       Date:  2015-01-31       Impact factor: 8.661

5.  Impact of National Cancer Institute Comprehensive Cancer Centers on ovarian cancer treatment and survival.

Authors:  Robert E Bristow; Jenny Chang; Argyrios Ziogas; Belinda Campos; Leo R Chavez; Hoda Anton-Culver
Journal:  J Am Coll Surg       Date:  2015-02-14       Impact factor: 6.113

6.  Hospital Case Volume Is Associated With Improved Survival for Patients With Metastatic Melanoma.

Authors:  Jinhai Huo; David R Lairson; Xianglin L Du; Wenyaw Chan; Jing Jiang; Thomas A Buchholz; B Ashleigh Guadagnolo
Journal:  Am J Clin Oncol       Date:  2016-10       Impact factor: 2.339

Review 7.  Is It Time to Centralize Ovarian Cancer Care in the United States?

Authors:  Renee A Cowan; Roisin E O'Cearbhaill; Ginger J Gardner; Douglas A Levine; Kara Long Roche; Yukio Sonoda; Oliver Zivanovic; William P Tew; Evis Sala; Yulia Lakhman; Hebert A Vargas Alvarez; Debra M Sarasohn; Svetlana Mironov; Nadeem R Abu-Rustum; Dennis S Chi
Journal:  Ann Surg Oncol       Date:  2015-10-28       Impact factor: 5.344

8.  Observed-to-expected ratio for adherence to treatment guidelines as a quality of care indicator for ovarian cancer.

Authors:  Valerie B Galvan-Turner; Jenny Chang; Argyrios Ziogas; Robert E Bristow
Journal:  Gynecol Oncol       Date:  2015-09-24       Impact factor: 5.482

9.  Socioeconomic status as a predictor of adherence to treatment guidelines for early-stage ovarian cancer.

Authors:  Melissa Hodeib; Jenny Chang; Fong Liu; Argyrios Ziogas; Sarah Dilley; Leslie M Randall; Hoda Anton-Culver; Robert E Bristow
Journal:  Gynecol Oncol       Date:  2015-04-22       Impact factor: 5.482

10.  Disparities in ovarian cancer care quality and survival according to race and socioeconomic status.

Authors:  Robert E Bristow; Matthew A Powell; Noor Al-Hammadi; Ling Chen; J Philip Miller; Phillip Y Roland; David G Mutch; William A Cliby
Journal:  J Natl Cancer Inst       Date:  2013-03-28       Impact factor: 13.506

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