ArticleUrologic oncology2017
The difficulty in selecting patients for cytoreductive nephrectomy: An evaluation of previously described predictive models.
Article in Urologic oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 24 citations in OpenAlex.
- Selection and evaluation of preoperative systemic inflammatory response biomarkers model prior to cytoreductive nephrectomy using a machine-learning approach.World journal of urology · 2022Trial
- Evolving biological associations of upfront cytoreductive nephrectomy in metastatic renal cell carcinoma.Cancer · 2021Article
- The Association Between Small Primary Tumor Size and Prognosis in Metastatic Renal Cell Carcinoma: Insights from Two Independent Cohorts of Patients Who Underwent Cytoreductive Nephrectomy.European urology oncology · 2020Article
- The Value of Neutrophil to Lymphocyte Ratio in Patients Undergoing Cytoreductive Nephrectomy with Thrombectomy.European urology focus · 2020Observational
- Dissecting Outcomes: Should Cytoreductive Nephrectomy Be Performed for Patients With Metastatic Renal Cell Carcinoma With Sarcomatoid Dedifferentiation?Frontiers in oncology · 2020Article
- The evolving role of cytoreductive nephrectomy: incorporating genomics of metastatic renal cell carcinoma into treatment decisions.Current opinion in urology · 2019Review
- External validation of a predictive model of survival after cytoreductive nephrectomy for metastatic renal cell carcinoma.World journal of urology · 2018Article
- Surgical Management of Advanced and Metastatic Renal Cell Carcinoma: A Multidisciplinary Approach.Frontiers in oncology · 2017Review
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
Abstract
purposeTo externally evaluate a preoperative points system and a preoperative nomogram, both created to assess time to death after cytoreductive nephrectomy (CN). MATERIALS AND
methodsWe identified 298 patients who underwent CN at our institution, a tertiary cancer center, between 1989 and 2015. To validate the points system, we compared reported overall survival (OS) for each criterion to observed OS in our cohort. To evaluate the nomogram, we prognosticated risk of death at 6 months after surgery for 280 patients with sufficient follow-up in our cohort and evaluated discrimination using area under the curve (AUC) and calibration. Decision curve analysis was performed to assess clinical utility of the nomogram.
resultsSignificant differences in OS were observed between patients with and without 5 of 7 criteria on univariate analysis: low albumin (P<0.0001), high lactate dehydrogenase (P = 0.002), liver metastasis (P = 0.004), retroperitoneal lymphadenopathy (P = 0.002), and supradiaphragmatic lymphadenopathy (P = 0.019). Discrimination from the preoperative model, predicting death within 6 months of surgery was lower in our cohort (AUC = 0.65, 95% CI: 0.52-0.79) than the original publication (AUC = 0.76). Decision curve analysis demonstrated little benefit for applicability.
conclusionsFive previously defined risk factors are predictive of decreased OS after CN in our cohort. We found lower discrimination using the preoperative model and minimal clinical utility according to decision analysis in our study cohort. These findings suggest the need for improved models to aid patient stratification and consequent treatment choice.
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