ArticleUrology2013
Clinical characteristics associated with treatment type for localized renal tumors: implications for practice pattern assessment.
Article in Urology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Cabozantinib in combination with immune checkpoint inhibitors for renal cell carcinoma: a systematic review and meta-analysis.Frontiers in pharmacology · 2024Pooled it
- Tracing the evolving dynamics and research hotspots in the kidney neoplasm and nephron sparing surgery field from the past to the new era.Cancer medicine · 2024Article
- Review
- Impacts of Neighborhood Characteristics and Surgical Treatment Disparities on Overall Mortality in Stage I Renal Cell Carcinoma Patients.International journal of environmental research and public health · 2022Article
- Surveillance for low-risk kidney cancer: a narrative review of contemporary worldwide practices.Translational andrology and urology · 2021Review
- The role of open radical nephrectomy in contemporary management of renal cell carcinoma.Translational andrology and urology · 2020Review
- Article
- Understanding Treatment Disconnect and Mortality Trends in Renal Cell Carcinoma Using Tumor Registry Data.Medical care · 2017Article
- Patient function, long-term survival, and use of surgery in patients with kidney cancer.Cancer · 2016Article
- Active Surveillance for Small Renal Masses: A Review of the Aims and Preliminary Results of the DISSRM Registry.Current urology reports · 2016Review
- Is anatomic complexity associated with renal tumor growth kinetics under active surveillance?Urologic oncology · 2015Article
- Patients with anatomically "simple" renal masses are more likely to be placed on active surveillance than those with anatomically "complex" lesions.Urologic oncology · 2014Article
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveTo determine the associations between the pretreatment characteristics and treatment selection in patients presenting with clinical stage I renal masses. MATERIALS AND
methodsUsing institutional data, patients presenting with clinical stage I (≤ 7 cm) renal tumors that were managed with active surveillance (AS), tumor ablation (ABL), partial nephrectomy (PN), or radical nephrectomy (RN) from 2005 to 2011 were identified. The associations between the pretreatment characteristics and the selected treatment strategy were assessed using multinomial regression models, with RN as the reference group.
resultsA total of 969 patients (mean age 61.9 ± 12.8 years) with 1034 clinical stage I lesions (mean tumor size 3.3 ± 1.5 cm) met the inclusion criteria. The patients were initially treated with RN (29.4%), PN (38.8%), ABL (6.1%), and AS (25.7%). Traditionally captured covariates, including older age (PN, odds ratio [OR] 0.96, 95% confidence interval [CI] 0.94-0.99]) and decreasing tumor size (PN, OR 0.2, 95% CI 0.1-0.4; ABL, OR 0.01, 95% CI 0.0-0.1; AS, OR 0.2, 95% CI 0.1-0.3) were associated with alternative treatment types compared with RN. However, the characteristics associated with treatment type that are not included in traditional registry or administrative data included the presence of a solitary kidney (PN, OR 11.9, 95% CI 2.9-48.9; ABL, OR 15.5, 95% CI 2.5-98.1; AS, OR 7.1, 95% CI 1.3-39.3) and high complexity nephrectomy score (PN, OR 0.1, 95% CI 0.1-0.3; ABL, OR 0.1, 95% CI 0.0-0.6; AS, OR 0.1, 95% CI 0.03-0.3).
conclusionPretreatment characteristics associated with treatment type in our series, including the presence of a solitary kidney and anatomic complexity, are poorly captured using administrative and registry data. Observational studies investigating the variations in practice patterns for stage I renal masses require improved integration of clinical and tumor characteristics to reduce selection biases.
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