Literature DB >> 15612081

Estimating the optimal external-beam radiotherapy utilization rate for genitourinary malignancies.

Geoff Delaney1, Susannah Jacob, Michael Barton.   

Abstract

BACKGROUND: Benchmark radiotherapy utilization rates for genitourinary malignancies are largely unknown, despite the finding that genitourinary cancers comprise approximately 19% of all registered malignancies in Australia.
METHODS: To develop an evidence-based benchmark of the optimal proportion of patients with genitourinary malignancies who should receive at least one course of radiotherapy at some time during their illness, the authors studied treatment guidelines and treatment reviews regarding genitourinary malignancies. Optimal radiotherapy utilization trees were constructed to show the clinical attributes that indicated possible benefit from radiotherapy based on evidence. Epidemiologic incidence data for each of these clinical attributes were obtained to calculate the optimal proportion of all patients with genitourinary cancer for whom radiotherapy was considered appropriate.
RESULTS: The proportion of patients with genitourinary malignancies for whom radiotherapy was indicated at some point in their illness, according to the best available evidence, was estimated to be 27% of patients with renal cancer, 58% of patients with bladder cancer, 60% of patients with prostate cancer, and 49% of patients with testicular cancer. The occurrence of ureteric and penile cancers among patients was too rare, and, therefore, these patients were not included in the current study.
CONCLUSIONS: There was a large discrepancy between actual radiotherapy utilization and the evidence-based optimal rate. The authors recommended strategies to implement the evidence-based guidelines. Evidence-based benchmarks for radiotherapy utilization rates such as the ones described in the current study were important in the evaluation of the appropriate use of radiotherapy. (c) 2004 American Cancer Society

Entities:  

Mesh:

Year:  2005        PMID: 15612081     DOI: 10.1002/cncr.20789

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  7 in total

1.  An audit of referral and treatment patterns of high-risk prostate cancer patients in Alberta.

Authors:  Majed Alghamdi; Amandeep Taggar; Derek Tilley; Marc Kerba; Xanthoula Kostaras; Geoffrey Gotto; Michael Sia
Journal:  Can Urol Assoc J       Date:  2016 Nov-Dec       Impact factor: 1.862

2.  Assessing guideline impact on referral patterns of post-prostatectomy patients to radiation oncologists.

Authors:  Amandeep Taggar; Majed Alghamdi; Derek Tilly; Xanthoula Kostaras; Marc Kerba; Siraj Husain; Geoff Gotto; Michael Sia
Journal:  Can Urol Assoc J       Date:  2016 Sep-Oct       Impact factor: 1.862

3.  A population-based study examining the influence of a specialized rapid-access cancer clinic on initial treatment choice in localized prostate cancer.

Authors:  Larissa J Vos; Clement K Ho; Bryan J Donnelly; J Dean Reuther; Marc Kerba
Journal:  Can Urol Assoc J       Date:  2018-03-19       Impact factor: 1.862

Review 4.  Effect of therapies-mediated modulation of telomere and/or telomerase on cancer cells radiosensitivity.

Authors:  Ganiou Assani; Yudi Xiong; Fuxiang Zhou; Yunfeng Zhou
Journal:  Oncotarget       Date:  2018-10-09

Review 5.  Imaging and Management of Bladder Cancer.

Authors:  Vincenzo K Wong; Dhakshinamoorthy Ganeshan; Corey T Jensen; Catherine E Devine
Journal:  Cancers (Basel)       Date:  2021-03-19       Impact factor: 6.639

Review 6.  Practical considerations for prostate hypofractionation in the developing world.

Authors:  Michael Yan; Andre G Gouveia; Fabio L Cury; Nikitha Moideen; Vanessa F Bratti; Horacio Patrocinio; Alejandro Berlin; Lucas C Mendez; Fabio Y Moraes
Journal:  Nat Rev Urol       Date:  2021-08-13       Impact factor: 14.432

7.  Prospective Randomized Phase II Study of Stereotactic Body Radiotherapy (SBRT) vs. Conventional Fractionated Radiotherapy (CFRT) for Chinese Patients with Early-Stage Localized Prostate Cancer.

Authors:  Darren M C Poon; Daisy Lam; Kenneth C W Wong; Cheuk-Man Chu; Michael Cheung; Frankie Mo; Joyce Suen; Chi-Fai Ng; Anthony T C Chan
Journal:  Curr Oncol       Date:  2021-12-22       Impact factor: 3.677

  7 in total

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