Literature DB >> 23295939

The impact of geographic variations in treatment on outcomes in ovarian cancer.

Ulrike Dehaeck1, Colleen E McGahan, Jennifer L Santos, Mark S Carey, Kenneth D Swenerton, Janice S Kwon.   

Abstract

OBJECTIVE: There are significant regional differences in survival outcomes across British Columbia among women with ovarian cancer. The age-adjusted hazard ratio for mortality is 1.27 (95% confidence interval, 1.08-1.49) in 1 health authority region compared to the provincial mean. The objective of this study was to look at variations in the treatment of epithelial ovarian cancer among the 5 health authority regions in the province of British Columbia and determine their effect on survival. METHODS AND MATERIALS: This was a population-based retrospective cohort study of all incident cases of epithelial ovarian cancer diagnosed in British Columbia from 2005 to 2008. Health authority regions were compared with the χ(2) test for demographic and disease characteristics, as well as treatment practices including assessment by a gynecologic oncologist, rate of optimal debulking, and proportion receiving platinum-based combination chemotherapy. Multivariable Cox regression analysis evaluated the effect of covariates on survival.
RESULTS: There were 854 evaluable patients. Across health authority regions, there were significant differences in disease characteristics, including the proportion with serous histotype (44.0%-60.7%, P = 0.043) and stage IIIC/IV disease (50.3%-69.4%, P = 0.0048). There were also significant differences in treatment, including the proportion of patients assessed by a gynecologic oncologist (56.8%-79.4%, P = 0.0003), rate of suboptimal debulking, (21.4%-60.2%, P = 0.0036), and the proportion receiving combination chemotherapy, (61.5%-81.9%, P < 0.0001). Cox regression model revealed that stage, grade, optimal debulking, and combination chemotherapy were significantly associated with survival. The health authority region with the highest mortality had the lowest rate of optimal debulking and combination chemotherapy.
CONCLUSIONS: Differences in survival rates for ovarian cancer across British Columbia can be attributed to variations in disease characteristics and treatment, particularly rates of optimal debulking and combination chemotherapy.

Entities:  

Mesh:

Year:  2013        PMID: 23295939     DOI: 10.1097/IGC.0b013e31827b87b1

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


  8 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.  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

3.  Contribution of Geographic Location to Disparities in Ovarian Cancer Treatment.

Authors:  Carolina Villanueva; Jenny Chang; Scott M Bartell; Argyrios Ziogas; Robert Bristow; Verónica M Vieira
Journal:  J Natl Compr Canc Netw       Date:  2019-11-01       Impact factor: 11.908

4.  Distance from a Comprehensive Cancer Center: A proxy for poor cervical cancer outcomes?

Authors:  David A Barrington; Sarah E Dilley; Emily E Landers; Eric D Thomas; Jonathon D Boone; J Michael Straughn; Gerald McGwin; Charles A Leath
Journal:  Gynecol Oncol       Date:  2016-10-06       Impact factor: 5.482

5.  Impact of community disadvantage and air pollution burden on geographic disparities of ovarian cancer survival in California.

Authors:  Verónica M Vieira; Carolina Villanueva; Jenny Chang; Argyrios Ziogas; Robert E Bristow
Journal:  Environ Res       Date:  2017-04-10       Impact factor: 6.498

6.  Ovarian cancer in California: Guideline adherence, survival, and the impact of geographic location, 1996-2014.

Authors:  Carolina Villanueva; Jenny Chang; Argyrios Ziogas; Robert E Bristow; Verónica M Vieira
Journal:  Cancer Epidemiol       Date:  2020-10-03       Impact factor: 2.984

7.  Sociodemographic disparities in access to ovarian cancer treatment.

Authors:  Shannon Graham; Elaine Hallisey; Grete Wilt; Barry Flanagan; Juan L Rodriguez; Lucy Peipins
Journal:  Ann Cancer Epidemiol       Date:  2019-11-27

8.  Characteristics and outcome of the COEUR Canadian validation cohort for ovarian cancer biomarkers.

Authors:  Cécile Le Page; Kurosh Rahimi; Martin Köbel; Patricia N Tonin; Liliane Meunier; Lise Portelance; Monique Bernard; Brad H Nelson; Marcus Q Bernardini; John M S Bartlett; Dimcho Bachvarov; Walter H Gotlieb; Blake Gilks; Jessica N McAlpine; Mark W Nachtigal; Alain Piché; Peter H Watson; Barbara Vanderhyden; David G Huntsman; Diane M Provencher; Anne-Marie Mes-Masson
Journal:  BMC Cancer       Date:  2018-03-27       Impact factor: 4.430

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.