Nomograms

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  Subject Areas on Research

  • A Nomogram for Testosterone Recovery After Combined Androgen Deprivation and Radiation Therapy for Prostate Cancer. 
  • A contemporary prognostic nomogram for men with hormone-refractory metastatic prostate cancer: a TAX327 study analysis. 
  • A nomogram to predict disease-free survival after surgical resection of GIST. 
  • A nomogram to predict loco-regional control after re-irradiation for head and neck cancer. 
  • A nomogram to predict long-term survival after resection for intrahepatic cholangiocarcinoma: an Eastern and Western experience. 
  • A predictive model and nomogram for predicting return to work at 3 months after cervical spine surgery: an analysis from the Quality Outcomes Database. 
  • A pretreatment nomogram for prediction of biochemical failure after primary cryoablation of the prostate. 
  • A prognostic nomogram to predict overall survival in women with recurrent ovarian cancer treated with bevacizumab and chemotherapy. 
  • A risk prediction model for delayed graft function in the current era of deceased donor renal transplantation. 
  • An evidence-based score to detect prevalent peripheral artery disease (PAD). 
  • Baseline predictors of health-related quality of life after anterior cruciate ligament reconstruction: a longitudinal analysis of a multicenter cohort at two and six years. 
  • Big Data, Small Effects. 
  • Can Radiologic Staging With Multiparametric MRI Enhance the Accuracy of the Partin Tables in Predicting Organ-Confined Prostate Cancer? 
  • Clinical Calculator for Early Mortality in Metastatic Colorectal Cancer: An Analysis of Patients From 28 Clinical Trials in the Aide et Recherche en Cancérologie Digestive Database. 
  • Development and Validation of a Multi-institutional Preoperative Nomogram for Predicting Grade of Dysplasia in Intraductal Papillary Mucinous Neoplasms (IPMNs) of the Pancreas: A Report from The Pancreatic Surgery Consortium. 
  • Development and external validation of nomograms predictive of response to radiation therapy and overall survival in nasopharyngeal cancer patients. 
  • Development of adherence metrics for caloric restriction interventions. 
  • Do nomograms designed to predict biochemical recurrence (BCR) do a better job of predicting more clinically relevant prostate cancer outcomes than BCR? A report from the SEARCH database group. 
  • Do nomograms predict aggressive recurrence after radical prostatectomy more accurately than biochemical recurrence alone? 
  • Evaluation of a breast cancer nomogram for predicting risk of ipsilateral breast tumor recurrences in patients with ductal carcinoma in situ after local excision. 
  • Evaluation of preoperative therapy for pancreatic cancer using a prognostic nomogram. 
  • External Validation of a Prognostic Model for Predicting Nonresponse Following Knee Arthroplasty. 
  • Factors predicting prostatic biopsy Gleason sum under grading. 
  • Information content of five nomograms for outcomes in prostate cancer. 
  • Is biopsy Gleason score independently associated with biochemical progression following radical prostatectomy after adjusting for pathological Gleason score? 
  • Management of prostate cancer in older men: recommendations of a working group of the International Society of Geriatric Oncology. 
  • Multi-institutional Validation Study of Pancreatic Cyst Fluid Protein Analysis for Prediction of High-risk Intraductal Papillary Mucinous Neoplasms of the Pancreas. 
  • Multi-institutional validation of the CAPRA-S score to predict disease recurrence and mortality after radical prostatectomy. 
  • Nomogram for Predicting Individual Survival After Recurrence of Advanced-Stage, High-Grade Ovarian Carcinoma. 
  • Nomogram to predict successful placement in surgical subspecialty fellowships using applicant characteristics. 
  • Optimizing hospital use of intravenous insulin therapy: improved management of hyperglycemia and error reduction with a new nomogram. 
  • Outcomes after Resection of Intrahepatic Cholangiocarcinoma: External Validation and Comparison of Prognostic Models. 
  • PREOP-Gallstones: A Prognostic Nomogram for the Management of Symptomatic Cholelithiasis in Older Patients. 
  • Personalizing Survival Predictions in Advanced Colorectal Cancer: The ARCAD Nomogram Project. 
  • Postoperative prostate-specific antigen nadir improves accuracy for predicting biochemical recurrence after radical prostatectomy: Results from the Shared Equal Access Regional Cancer Hospital (SEARCH) and Duke Prostate Center databases. 
  • Predicting dysplasia and invasive carcinoma in intraductal papillary mucinous neoplasms of the pancreas: development of a preoperative nomogram. 
  • Predicting non-home discharge in epithelial ovarian cancer patients: External validation of a predictive model. 
  • Predicting occult multifocality of renal cell carcinoma. 
  • Predicting significant coronary artery disease in patients with left ventricular dysfunction. 
  • Prediction models for postpartum urinary and fecal incontinence in primiparous women. 
  • Prediction of survival following first-line chemotherapy in men with castration-resistant metastatic prostate cancer. 
  • Predictors of in-hospital mortality in patients hospitalized for heart failure: insights from the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF). 
  • Predictors of mortality after discharge in patients hospitalized with heart failure: an analysis from the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF). 
  • Prognostic model for predicting survival of patients with metastatic urothelial cancer treated with cisplatin-based chemotherapy. 
  • Prognostic model predicting metastatic castration-resistant prostate cancer survival in men treated with second-line chemotherapy. 
  • Radical prostatectomy versus radiation therapy: can pretreatment nomograms be used to select the appropriate prostate cancer treatment? 
  • Re-calibration and external validation of an existing nomogram to predict aggressive recurrences after radical prostatectomy. 
  • Survival after resection of perihilar cholangiocarcinoma-development and external validation of a prognostic nomogram. 
  • The Shared Equal Access Regional Cancer Hospital (SEARCH) nomogram for risk stratification in intermediate risk group of men with prostate cancer: validation in the Duke Prostate Center database. 
  • The contemporary concept of significant versus insignificant prostate cancer. 
  • The development of risk groups in men with metastatic castration-resistant prostate cancer based on risk factors for PSA decline and survival. 
  • The effect of race on the discriminatory accuracy of models to predict biochemical recurrence after radical prostatectomy: results from the Shared Equal Access Regional Cancer Hospital and Duke Prostate Center databases. 
  • The influence of positive peritoneal cytology on survival in patients with pancreatic adenocarcinoma. 
  • Updated prognostic model for predicting overall survival in first-line chemotherapy for patients with metastatic castration-resistant prostate cancer. 
  • Utility of a mathematical nomogram to predict delayed graft function: a single-center experience-critique. 
  • Utility of a prognostic nomogram designed for gastric cancer in predicting outcome of patients with R0 resected duodenal adenocarcinoma. 
  • Validation of a nomogram to predict disease progression following salvage radiotherapy after radical prostatectomy: results from the SEARCH database. 
  • Validity of a risk-prediction tool for hospital mortality: the Global Registry of Acute Coronary Events. 
  • Weight loss at first postoperative visit predicts long-term outcome of Roux-en-Y gastric bypass using Duke weight loss surgery chart. 
  • Which preoperative factors, including bone bruise, are associated with knee pain/symptoms at index anterior cruciate ligament reconstruction (ACLR)? A Multicenter Orthopaedic Outcomes Network (MOON) ACLR Cohort Study. 
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  Keywords of People

  • Halabi, Susan, Professor of Biostatistics and Bioinformatics, Biostatistics & Bioinformatics
  • O'Connor, Christopher Michael, Richard Sean Stack, M.D. / Guidant Foundation Professor of Cardiology, Medicine, Clinical Pharmacology