A Clinical Decision Aid to Support Personalized Treatment Selection for Patients with Clinical T1 Renal Masses: Results from a Multi-institutional Competing-risks Analysis.
暂无分享,去创建一个
S. Boorjian | S. Psutka | C. Lohse | B. Leibovich | B. Costello | P. Pierorazio | M. Allaf | T. Morgan | A. Finelli | J. Herrin | N. Shah | T. Atwell | M. Jewett | R. Gulati | L. Legere | G. Schmit | Kamel Fadaak | R. Houston Thompson | N. Shah
[1] U. Capitanio,et al. Collaborative Review: Factors Influencing Treatment Decisions for Patients with a Localized Solid Renal Mass. , 2021, European urology.
[2] U. Capitanio,et al. Hypertension and Cardiovascular Morbidity Following Surgery for Kidney Cancer. , 2020, European urology oncology.
[3] S. Jackman,et al. Utilization and operative influence of Renal Mass Biopsy in the Small Renal Mass: Analysis from the CROES Small Renal Mass registry. , 2020, Journal of endourology.
[4] J. Cheville,et al. Oncologic Outcomes Following Partial Nephrectomy and Percutaneous Ablation for cT1 Renal Masses. , 2019, European urology.
[5] Paras H Shah,et al. Association of Partial versus Radical Nephrectomy with Subsequent Hypertension Risk Following Renal Tumor Resection. , 2019, The Journal of urology.
[6] M. Brock,et al. Interdisciplinary comparison of PADUA and RENAL scoring systems for prediction of conversion to nephrectomy in patients with renal mass scheduled for nephron-sparing surgery. , 2019, The Journal of urology.
[7] J. Cheville,et al. Predicting Renal Function Outcomes After Partial and Radical Nephrectomy. , 2019, European urology.
[8] Masami Watanabe,et al. The 3-D Volumetric Measurement Including Resected Specimen for Predicting Renal Function AfterRobot-assisted Partial Nephrectomy. , 2019, Urology.
[9] J. Kaouk,et al. Development and Internal Validation of a Nomogram for Predicting Renal Function after Partial Nephrectomy. , 2019, European urology oncology.
[10] National Health Commission of PRC. Chinese guidelines for diagnosis and treatment of renal cell carcinoma 2018 (English version) , 2019, Chinese journal of cancer research = Chung-kuo yen cheng yen chiu.
[11] J. Cheville,et al. Radical Versus Partial Nephrectomy for cT1 Renal Cell Carcinoma. , 2018, European urology.
[12] Paras H Shah,et al. The Temporal Association of Robotic Surgical Diffusion with Overtreatment of the Small Renal Mass , 2018, The Journal of urology.
[13] S. Boorjian,et al. Staging the Host: Personalizing Risk Assessment for Radical Cystectomy Patients. , 2018, European urology oncology.
[14] U. Capitanio,et al. Role of Active Surveillance for Localized Small Renal Masses. , 2018, European urology oncology.
[15] S. Psutka,et al. Nutritional Predictors of Perioperative Complications and Mortality Following Nephrectomy for Renal Malignancies: A Population-Based Analysis , 2018, Kidney Cancer.
[16] T. Garg,et al. Burden of Multiple Chronic Conditions among Patients with Urological Cancer , 2018, The Journal of urology.
[17] K. Ogan,et al. Frailty and cancer: Implications for oncology surgery, medical oncology, and radiation oncology , 2017, CA: a cancer journal for clinicians.
[18] Jeffrey A. Cadeddu,et al. Adult Urology Oncology : Adrenal / Renal / Upper Tract / Bladder lized Renal Cancer : AUA Guideline , 2017 .
[19] B. Lane,et al. Collaborative Review of Risk Benefit Trade-offs Between Partial and Radical Nephrectomy in the Management of Anatomically Complex Renal Masses. , 2017, European urology.
[20] P. Dasgupta,et al. PADUA and R.E.N.A.L. nephrometry scores correlate with perioperative outcomes of robot‐assisted partial nephrectomy: analysis of the Vattikuti Global Quality Initiative in Robotic Urologic Surgery (GQI‐RUS) database , 2017, BJU international.
[21] Mark W. Ball,et al. Partial vs Radical Nephrectomy for T1-T2 Renal Masses in the Elderly: Comparison of Complications, Renal Function, and Oncologic Outcomes. , 2017, Urology.
[22] U. Capitanio,et al. Population‐based assessment of cancer‐specific mortality after local tumour ablation or observation for kidney cancer: a competing risks analysis , 2016, BJU international.
[23] J. Speakman,et al. Renal cell carcinoma survival and body mass index: a dose–response meta-analysis reveals another potential paradox within a paradox , 2016, International Journal of Obesity.
[24] E. Bass,et al. Management of Renal Masses and Localized Renal Cancer: Systematic Review and Meta-Analysis. , 2016, The Journal of urology.
[25] Mark W. Ball,et al. Five-year analysis of a multi-institutional prospective clinical trial of delayed intervention and surveillance for small renal masses: the DISSRM registry. , 2015, European urology.
[26] V. Master,et al. R.E.N.A.L. (Radius, exophytic/endophytic, nearness to collecting system or sinus, anterior/posterior, and location relative to polar lines) nephrometry score predicts early tumor recurrence and complications after percutaneous ablative therapies for renal cell carcinoma: a 5-year experience. , 2015, Journal of vascular and interventional radiology : JVIR.
[27] J. Cheville,et al. Comparison of partial nephrectomy and percutaneous ablation for cT1 renal masses. , 2015, European urology.
[28] Mark W. Ball,et al. Comorbidities and causes of death in the management of localized T1a kidney cancer , 2014, International journal of urology : official journal of the Japanese Urological Association.
[29] P. Rhee,et al. Frailty in surgery , 2014, The journal of trauma and acute care surgery.
[30] C. Ko,et al. Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons. , 2013, Journal of the American College of Surgeons.
[31] K. Ogan,et al. Too frail for surgery? Initial results of a large multidisciplinary prospective study examining preoperative variables predictive of poor surgical outcomes. , 2013, Journal of the American College of Surgeons.
[32] R. Thompson,et al. Percutaneous renal cryoablation in obese and morbidly obese patients. , 2013, Urology.
[33] F. Montorsi,et al. Comparison of partial vs radical nephrectomy with regard to other‐cause mortality in T1 renal cell carcinoma among patients aged ≥75 years with multiple comorbidities , 2013, BJU international.
[34] R. Uzzo,et al. Competing risks of death in patients with localized renal cell carcinoma: a comorbidity based model. , 2012, The Journal of urology.
[35] M. Menon,et al. A stage-for-stage and grade-for-grade analysis of cancer-specific mortality rates in renal cell carcinoma according to age: a competing-risks regression analysis. , 2011, European urology.
[36] S. Herrell,et al. Preoperative nutritional status is an important predictor of survival in patients undergoing surgery for renal cell carcinoma. , 2011, European urology.
[37] R. Uzzo,et al. Evaluating overall survival and competing risks of death in patients with localized renal cell carcinoma using a comprehensive nomogram. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[38] R. Uzzo,et al. Adjuvant therapy for high-risk renal cell carcinoma patients , 2007, Current urology reports.
[39] B. Hollenbeck,et al. Five‐year survival after surgical treatment for kidney cancer , 2007, Cancer.
[40] S. Joniau,et al. Comparison between open partial and radical nephrectomy for renal tumours: perioperative outcome and health-related quality of life. , 2007, European urology.
[41] M. Kattan,et al. Primer: using decision analysis to improve clinical decision making in urology , 2006, Nature Clinical Practice Urology.
[42] P. Ewings,et al. The assessment of patient life‐expectancy: how accurate are urologists and oncologists? , 2005, BJU international.
[43] N. Christakis,et al. Complexities in prognostication in advanced cancer: "to help them live their lives the way they want to". , 2003, JAMA.
[44] J. Habbema,et al. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. , 2001, Journal of clinical epidemiology.
[45] N. Christakis,et al. Extent and determinants of error in physicians' prognoses in terminally ill patients: prospective cohort study. , 2000, The Western journal of medicine.
[46] M Schemper,et al. A note on quantifying follow-up in studies of failure time. , 1996, Controlled clinical trials.
[47] Frank E. Harrell,et al. Prediction models need appropriate internal, internal-external, and external validation. , 2016, Journal of clinical epidemiology.
[48] F. Montorsi,et al. A population-based competing-risks analysis of survival after nephrectomy for renal cell carcinoma. , 2014, Urologic oncology.
[49] Mark W. Ball,et al. Survival after diagnosis of localized T1a kidney cancer: current population-based practice of surgery and nonsurgical management. , 2014, Urology.
[50] Brenda R. Hemmelgarn,et al. Notice , 2012, Kidney International Supplements.
[51] D. Brizel,et al. National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines in Oncology , 2012 .
[52] R. Sylvester,et al. A prospective, randomised EORTC intergroup phase 3 study comparing the oncologic outcome of elective nephron-sparing surgery and radical nephrectomy for low-stage renal cell carcinoma. , 2011, European urology.
[53] Douglas G Altman,et al. Combining estimates of interest in prognostic modelling studies after multiple imputation: current practice and guidelines , 2009, BMC medical research methodology.