Literature DB >> 17509280

Kidney cancer.

Eric M Wallen1, Raj S Pruthi, Geoffrey F Joyce, Matthew Wise.   

Abstract

PURPOSE: We quantified the burden of kidney cancer in the United States by identifying trends in the use of health care resources and estimating the economic impact of the disease.
MATERIALS AND METHODS: The analytical methods used to generate these results were described previously.
RESULTS: The incidence of all stages of kidney cancer is increasing in America, particularly T1 disease. Rates are increasing more rapidly in the black than in the white population and survival is worse for black individuals at all stages of diagnosis. Total expenditures for kidney cancer were $401 million in 2000, representing a 46% increase from 1994. Approximately 85% of health care dollars spent on kidney cancer were for inpatient care with steady increases through the 1990s. Regarding treatment, more partial nephrectomies were performed in Medicare patients as the 1990s progressed. Health Care Cost and Utilization Project data showed an increase in the number of inpatient hospitalizations but this trend was not seen in the Centers for Medicare and Medicaid Services data set. Length of stay decreased from 1994 to 2000 in the Health Care Cost and Utilization Project database. The adoption of laparoscopic techniques began to appear in the Veterans Affairs data set in 2001 and it increased thereafter.
CONCLUSIONS: Increasing trends in the incidence of and costs associated with kidney cancer have been apparent for more than 10 years. As the population ages and the prevalence of risk factors such as obesity and hypertension increases, the burden of disease will increase significantly. Consideration should be given to expanding tumor registries such as Surveillance, Epidemiology and End Results. Treatment databases could better characterize the cost and effectiveness of treatment for metastatic disease and of trends in the adoption of laparoscopy.

Entities:  

Mesh:

Year:  2007        PMID: 17509280     DOI: 10.1016/j.juro.2007.01.126

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  21 in total

1.  Using Molecular Biology to Develop Drugs for Renal Cell Carcinoma.

Authors:  C Lance Cowey; W Kimryn Rathmell
Journal:  Expert Opin Drug Discov       Date:  2008-03       Impact factor: 6.098

2.  Interleukin 10-expressing B cells inhibit tumor-infiltrating T cell function and correlate with T cell Tim-3 expression in renal cell carcinoma.

Authors:  Chen Cai; Jin Zhang; Minyu Li; Zhen-Jie Wu; Ken H Song; Tina W Zhan; Lin-Hui Wang; Ying-Hao Sun
Journal:  Tumour Biol       Date:  2015-12-30

3.  Value of metastin receptor immunohistochemistry in predicting metastasis after radical nephrectomy for pT1 clear cell renal cell carcinoma.

Authors:  Sunao Shoji; Mayura Nakano; Tetsuro Tomonaga; Hakushi Kim; Kazuya Hanai; Yukio Usui; Yoshihiro Nagata; Masaki Miyazawa; Haruhiro Sato; Xian Yang Tang; Yoshiyuki Robert Osamura; Toyoaki Uchida; Toshiro Terachi; Koichi Takeya
Journal:  Clin Exp Metastasis       Date:  2013-01-01       Impact factor: 5.150

4.  Expression of endothelin 2 and localized clear cell renal cell carcinoma.

Authors:  Brian M Bot; Jeanette E Eckel-Passow; Shauna N LeGrand; Tracy Hilton; John C Cheville; Todd Igel; Alexander S Parker
Journal:  Hum Pathol       Date:  2011-11-01       Impact factor: 3.466

5.  Contemporary clinical epidemiology of renal cell carcinoma: insight from a population based case-control study.

Authors:  David C Miller; Julie Ruterbusch; Joanne S Colt; Faith G Davis; W Marston Linehan; Wong-Ho Chow; Kendra Schwartz
Journal:  J Urol       Date:  2010-10-16       Impact factor: 7.450

Review 6.  Renal cell cancers: unveiling the hereditary ones and saving lives-a tailored diagnostic approach.

Authors:  Georgios Kallinikas; Helai Habib; Dimitrios Tsimiliotis; Evangelos Koutsokostas; Barna Bokor
Journal:  Int Urol Nephrol       Date:  2017-05-31       Impact factor: 2.370

7.  Development and evaluation of BioScore: a biomarker panel to enhance prognostic algorithms for clear cell renal cell carcinoma.

Authors:  Alexander S Parker; Bradley C Leibovich; Christine M Lohse; Yuri Sheinin; Susan M Kuntz; Jeanette E Eckel-Passow; Michael L Blute; Eugene D Kwon
Journal:  Cancer       Date:  2009-05-15       Impact factor: 6.860

8.  Percutaneous radiofrequency ablation of small renal tumours in patients with a single functioning kidney: long-term results.

Authors:  Miltiadis Krokidis; Stavros Spiliopoulos; Magdalena Jarzabek; Nikos Fotiadis; Tarun Sabharwal; Tim O'Brien; Andy Adam
Journal:  Eur Radiol       Date:  2013-03-09       Impact factor: 5.315

9.  [Value of the postoperative Störkel score. Predict disease-free survival of patients with surgically resected renal cell carcinoma].

Authors:  M May; S Brookman-Amissah; S Pflanz; N Knoll; J Roigas; S Gunia; B Hoschke; F Kendel
Journal:  Urologe A       Date:  2009-03       Impact factor: 0.639

10.  Defining early-onset kidney cancer: implications for germline and somatic mutation testing and clinical management.

Authors:  Brian Shuch; Srinivas Vourganti; Christopher J Ricketts; Lindsay Middleton; James Peterson; Maria J Merino; Adam R Metwalli; Ramaprasad Srinivasan; W Marston Linehan
Journal:  J Clin Oncol       Date:  2013-12-30       Impact factor: 44.544

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