Literature DB >> 8632689

Factors that determine the treatment for local and regional prostate cancer.

C E Desch1, L Penberthy, C J Newschaffer, B E Hillner, M Whittemore, D McClish, T J Smith, S M Retchin.   

Abstract

This article assesses the significance of comorbid and nonclinical factors in type of treatment received by elderly male patients with local-regional stage prostate cancer. Multivariate analysis of data from the Virginia Cancer Registry was linked to Medicare claim files, the Area Resource File, and 1990 Census Data. The type of initial treatment received was studied in 3117 men with local-regional staged prostate cancer diagnosed from 1985 to 1989. The frequency of surgical and radiation therapy for prostate cancer rose between 1985 and 1989 (12.5% to 18.5% for surgery, P < 0.001; 25% to 32% for radiation, P < 0.001). Age was the most important predictor of therapeutic choice; no therapy was given to 26% of men 65 to 69 years old versus 63% of men 85 years or older P < 0.001). Race, residence (rural versus urban), and comorbidity were also strong factors in predicting initial therapy. Using logistic regression, three treatment alternatives were evaluated. Age (odds ratio [OR] .51; 99% confidence interval [CI] = .43, .60), comorbidity (OR .72; 99% CI .63, .82), income (OR 1.14; 99% CI 1.01, 1.28), residence (OR .65; 99% CI .48, .87), diagnosis year (OR 1.15; 99% CI 1.07, 1.23) all were associated independently with treatment versus no treatment. For surgery versus radiation, age (OR .40; 99% CI .27, .57), race (OR 2.92; 99% CI 1.65, 5.15) and education (OR 1.75; 99% CI 1.31, 2.34) were significant factors. For hormonal/orchiectomy versus surgery/radiation, age (OR 5.19; 99% CI 3.84, 7.01), comorbidity (OR 1.28; 99% CI 1.03, 1.58), distance to radiation oncologist (OR .89; 99% CI .80, .99), and diagnosis year (OR .89; 99% CI .79, 1.00) were significant. The number of men receiving surgical and radiation treatments for prostate cancer increased between 1985 and 1989. During that period, age consistently played a significant role in all therapeutic decisions. Other factors, such as comorbidity, race, socioeconomic status, and distance, also were important considerations, depending on the treatment alternative.

Entities:  

Mesh:

Year:  1996        PMID: 8632689     DOI: 10.1097/00005650-199602000-00007

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  23 in total

1.  Predictors of Medicare costs in elderly beneficiaries with breast, colorectal, lung, or prostate cancer.

Authors:  L Penberthy; S M Retchin; M K McDonald; D K McClish; C E Desch; G F Riley; T J Smith; B E Hillner; C J Newschaffer
Journal:  Health Care Manag Sci       Date:  1999-07

2.  Comorbidities, treatment and ensuing survival in men with prostate cancer.

Authors:  Karim Chamie; Timothy J Daskivich; Lorna Kwan; Jessica Labo; Atreya Dash; Sheldon Greenfield; Mark S Litwin
Journal:  J Gen Intern Med       Date:  2011-09-21       Impact factor: 5.128

3.  Race/ethnicity and the receipt of watchful waiting for the initial management of prostate cancer.

Authors:  Vickie L Shavers; Martin L Brown; Arnold L Potosky; Carrie N Klabunde; W W Davis; Judd W Moul; Angela Fahey
Journal:  J Gen Intern Med       Date:  2004-02       Impact factor: 5.128

4.  Variation in chemotherapy utilization in ovarian cancer: the relative contribution of geography.

Authors:  Daniel Polsky; Katrina A Armstrong; Thomas C Randall; Richard N Ross; Orit Even-Shoshan; Paul R Rosenbaum; Jeffrey H Silber
Journal:  Health Serv Res       Date:  2006-12       Impact factor: 3.402

5.  Diet-specific social support among rural adolescents.

Authors:  Cassandra A Stanton; Scott L Green; Elizabeth A Fries
Journal:  J Nutr Educ Behav       Date:  2007 Jul-Aug       Impact factor: 3.045

6.  Commentary: establishing standards for the utility of administrative claims data.

Authors:  S M Retchin; D J Ballard
Journal:  Health Serv Res       Date:  1998-02       Impact factor: 3.402

7.  Variation in staging and treatment of local and regional breast cancer in the elderly.

Authors:  B E Hillner; L Penberthy; C E Desch; M K McDonald; T J Smith; S M Retchin
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

Review 8.  Rural residence and cancer outcomes in the United States: issues and challenges.

Authors:  Ashley Meilleur; S V Subramanian; Jesse J Plascak; James L Fisher; Electra D Paskett; Elizabeth B Lamont
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-10       Impact factor: 4.254

9.  Prostate cancer in elderly men.

Authors:  Anton Stangelberger; Matthias Waldert; Bob Djavan
Journal:  Rev Urol       Date:  2008

10.  Factors associated with initial treatment and survival for clinically localized prostate cancer: results from the CDC-NPCR Patterns of Care Study (PoC1).

Authors:  Maria J Schymura; Amy R Kahn; Robert R German; Mei-Chin Hsieh; Rosemary D Cress; Jack L Finch; John P Fulton; Tiefu Shen; Erik Stuckart
Journal:  BMC Cancer       Date:  2010-04-19       Impact factor: 4.430

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