Testicular cancer / Testicular cancer.

Testicular cancer is the most frequent solid tumour in young men and accounts for 1% of newly diagnosed malignant tumours. Tumours are divided into seminomas and non-seminomas. Approximately 50% of patients are cured by orchiectomy alone, while the other half in addition will need chemotherapy or radiotherapy for metastatic disease. Survival in patients treated for metastatic disease depends on prognostic criteria. Patients treated with systemic therapy have an increased risk of subsequent cancer and cardiovascular disease, as argued in this review.

GRade, Age, Nodes, and Tumor (GRANT) compared with Leibovich score to predict survival in localized renal cell carcinoma: A nationwide study.

OBJECTIVE: To examine the performance of Leibovich score versus GRade, Age, Nodes, and Tumor score in predicting disease recurrence in renal cell carcinoma. METHODS: In total, 7653 patients diagnosed with renal cell carcinoma from 2010 to 2018 were captured in the nationwide DaRenCa database; 2652 underwent radical or partial nephrectomy and had full datasets regarding the GRade, Age, Nodes, and Tumor score and Leibovich score. Discrimination was assessed with a Cox regression model. The results were evaluated with concordance index analysis. RESULTS: Median follow-up was 40 months (interquartile range 24-56). Recurrence occurred in 17%, and 15% died. A significant proportion of patients (36%) had missing data for the calculation of the Leibovich score. Among 1957 clear cell renal cell carcinoma patients the distribution of GRade, Age, Nodes, and Tumor score of 0, 1, 2, or 3/4 was 21%, 56%, 21% and 1.4%, respectively, and for Leibovich score of low/intermediate/high this was 47%, 36% and 18%, respectively. A similar distribution was seen in 655 non-clear cell patients. Both Leibovich and GRade, Age, Nodes, and Tumor scores performed well in predicting outcomes for the favorable patient risk groups. The Leibovich score was better at predicting recurrence-free survival (concordance index 0.736 versus 0.643), but not overall survival (concordance index 0.657 versus 0.648). Similar results were obtained in non-clear cell renal cell carcinoma. CONCLUSION: GRade, Age, Nodes, and Tumor and Leibovich scores were validated in clear cell and non-clear cell renal cell carcinoma. Leibovich score outperformed the GRade, Age, Nodes, and Tumor score in predicting recurrence-free survival and should remain the standard approach to risk stratify patients during follow-up when all data are available.

Validation of the preoperative score to predict postoperative mortality (POSPOM) in patients undergoing major emergency abdominal surgery.

PURPOSE: Patients undergoing major emergency abdominal surgery have a high mortality rate. Preoperative risk prediction tools of in-hospital mortality could assist clinical identification of patients at increased risk and thereby aid clinical decision-making and postoperative pathways. The aim of this study was to validate the preoperative score to predict mortality (POSPOM) in a population of patients undergoing major emergency abdominal surgery. METHODS: POSPOM was investigated in a retrospectively collected cohort of patients undergoing major emergency abdominal surgery at a Danish University Hospital from 2010 to 2016. Predicted in-hospital mortality by POSPOM was compared to observed in-hospital mortality. Calibration was assessed by Hosmer-Lemeshow goodness-of-fit and calibration plot. Discrimination was assessed by area under the receiver operating characteristic curve and accuracy was assessed with Brier score. RESULTS: The study included 979 patients (513 females) with a median age of 64 (IQR 55-77) years. The majority of patients underwent open surgery (94.5%). The observed in-hospital mortality rate was 10.9%. The estimated mean in-hospital mortality rate by POSPOM was 6.7%. POSPOM showed a good discrimination [AUC 0.82 (95% CI 0.78-0.85)] and an excellent accuracy [Brier score 0.09 (95% CI 0.07-0.10)]. However, a poor calibration was found (p < 0.01) as POSPOM underestimated in-hospital mortality. CONCLUSIONS: POSPOM is not an ideal prediction model for in-hospital mortality in patients undergoing major emergency abdominal surgery due a poor calibration.

Low immediate scientific yield of the PhD among medical doctors.

BACKGROUND: We studied the scientific yield of the medical PhD program at all Danish Universities. METHODS: We undertook a retrospective observational study. Three PhD schools in Denmark were included in order to evaluate the postdoctoral research production over more than 18 years through individual publications accessed by PubMed. RESULTS: A total of 2686 PhD-graduates (1995-2013) with a medical background were included according to registries from all PhD schools in Denmark. They had a median age of 35 years (interquartile range (IQR), 32-38) and 53 % were women at the time of graduation. Scientific activity over time was assessed independently of author-rank and inactivity was measured relative to the date of graduation. Factors associated with inactivity were identified using multivariable logistic regression. 88.6 % of the PhD theses were conducted in internal medicine vs. 11.4 % in surgery. During follow-up (median 6.9 years, IQR 3.0-11.7), PubMed data searches identified that 87 (3.4 %) of the PhD graduates had no publication after they graduated from the PhD program, 40 % had 5 or less, and 90 % had 30 or less. The median number of publications per year after PhD graduation was 1.12 (IQR 0.61-1.99) papers per year. About 2/3 of the graduates became inactive after 1 year and approximately 21 % of the graduates remained active during the whole follow-up. Female gender was associated with inactivity: adjusted odds ratio 1.59 (95 % confidence interval 1.24-2.05). CONCLUSIONS: The scientific production of Danish medic PhD-graduates was mainly produced around the time of PhD-graduation. After obtaining the PhD-degree the scientific production declines suggesting that scientific advance fails and resources are not harnessed.