Literature DB >> 25448522

Impact of race, socioeconomic status, and the health care system on the treatment of advanced-stage ovarian cancer in California.

Beverly Long1, Jenny Chang2, Argyrios Ziogas2, Krishnansu S Tewari3, Hoda Anton-Culver2, Robert E Bristow4.   

Abstract

OBJECTIVE: We sought to investigate the impact of race, socioeconomic status (SES), and health care system characteristics on receipt of specific components of National Comprehensive Cancer Network guideline care for stage IIIC/IV ovarian cancer. STUDY
DESIGN: Patients diagnosed with stage IIIC/IV epithelial ovarian cancer between Jan. 1, 1996, through Dec. 31, 2006, were identified from the California Cancer Registry. Multivariate logistic regression analyses evaluated differences in surgery, chemotherapy, and treatment sequence according to race, increasing SES (SES-1 to SES-5), and provider annual case volume.
RESULTS: A total of 11,865 patients were identified. Median age at diagnosis was 65.0 years. The overall median cancer-specific survival was 28.2 months. African American race (odds ratio [OR], 2.04; 95% confidence interval [CI], 1.45-2.87) and care by a low-volume physician (OR, 19.72; 95% CI, 11.87-32.77) predicted an increased risk of not undergoing surgery. Patients with SES-1 (OR, 0.71; 95% CI, 0.60-0.85) and those treated at low-volume hospitals (OR, 0.88; 95% CI, 0.77-0.99) or by low-volume physicians (OR, 0.80; 95% CI, 0.70-0.92) were less likely to undergo debulking surgery. African American race (OR, 1.55; 95% CI, 1.24-1.93) and SES-1 (OR, 1.80; 95% CI, 1.35-2.39) were both significant predictors of not receiving chemotherapy. African American patients were also more likely than whites to receive no treatment (OR, 2.08; 95% CI, 1.45-2.99) or only chemotherapy (OR, 1.55; 95% CI, 1.10-2.18). Patients with low SES were more likely to receive no treatment (OR, 1.95; 95% CI, 1.44-2.64) or surgery without chemotherapy (OR, 1.67; 95% CI, 1.38-2.03).
CONCLUSION: Among patients with advanced-stage ovarian cancer, African American race, low SES, and treatment by low-volume providers are significant and independent predictors of receiving no surgery, no debulking surgery, no chemotherapy, and nonstandard treatment sequences.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  disparities; ovarian cancer; race; socioeconomic status

Mesh:

Year:  2014        PMID: 25448522     DOI: 10.1016/j.ajog.2014.10.1104

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  25 in total

1.  Influence of insurance status and income in anaplastic astrocytoma: an analysis of 4325 patients.

Authors:  Jacob Y Shin; Ja Kyoung Yoon; Aidnag Z Diaz
Journal:  J Neurooncol       Date:  2016-11-18       Impact factor: 4.130

2.  Association of Insurance and Community-Level Socioeconomic Status With Treatment and Outcome of Squamous Cell Carcinoma of the Pharynx.

Authors:  Jacob Y Shin; Ja Kyoung Yoon; Aaron K Shin; Philip Blumenfeld; Miranda Mai; Aidnag Z Diaz
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2017-09-01       Impact factor: 6.223

3.  Prediagnostic Proinflammatory Dietary Potential Is Associated with All-Cause Mortality among African-American Women with High-Grade Serous Ovarian Carcinoma.

Authors:  Lauren C Peres; James R Hebert; Bo Qin; Kristin A Guertin; Elisa V Bandera; Nitin Shivappa; Tareq F Camacho; Deanna Chyn; Anthony J Alberg; Jill S Barnholtz-Sloan; Melissa L Bondy; Michele L Cote; Ellen Funkhouser; Patricia G Moorman; Edward S Peters; Ann G Schwartz; Paul D Terry; Joellen M Schildkraut
Journal:  J Nutr       Date:  2019-09-01       Impact factor: 4.798

Review 4.  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

5.  Demographic, presentation, and treatment factors and racial disparities in ovarian cancer hospitalization outcomes.

Authors:  Tomi F Akinyemiju; Gurudatta Naik; Kemi Ogunsina; Daniel T Dibaba; Neomi Vin-Raviv
Journal:  Cancer Causes Control       Date:  2018-02-10       Impact factor: 2.506

6.  Enhancing delivery of small molecule and cell-based therapies for ovarian cancer using advanced delivery strategies.

Authors:  Joanne O'Dwyer; Roisin E O'Cearbhaill; Robert Wylie; Saoirse O'Mahony; Michael O'Dwyer; Garry P Duffy; Eimear B Dolan
Journal:  Adv Ther (Weinh)       Date:  2020-08-16

7.  Disparities in ovarian cancer survival in the United States (2001-2009): Findings from the CONCORD-2 study.

Authors:  Sherri L Stewart; Rhea Harewood; Melissa Matz; Sun Hee Rim; Susan A Sabatino; Kevin C Ward; Hannah K Weir
Journal:  Cancer       Date:  2017-12-15       Impact factor: 6.860

8.  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

9.  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

10.  Predictors of survival trajectories among women with epithelial ovarian cancer.

Authors:  Lauren C Peres; Sweta Sinha; Mary K Townsend; Brooke L Fridley; Beth Y Karlan; Susan K Lutgendorf; Eileen Shinn; Anil K Sood; Shelley S Tworoger
Journal:  Gynecol Oncol       Date:  2019-12-12       Impact factor: 5.482

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