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E-TRAB was a non-interventional, prospective trial investigating the feasibility and predictive value of geriatric assessments (GA) in older STS patients treated with trabectedin as first-line therapy. Primary endpoints were overall survival (OS), quality of life and individual clinical benefit assessed by the patient-reported outcome measures QLQ-C30 and PRO-CTCAE. Further, several GA tools were applied and correlated with clinical outcomes and treatment-related toxicities. The final analyses included 69 patients from 12 German-speaking sites. The median age of patients was 78 years (range: 55 to 88). Baseline data on PROs and GA identified a diverse population of older patients with respect to their global health status, although a large proportion of them suffered from limitations, required geriatric help and had a high risk of morbidity. The Cancer and Age Research Group (CARG) score classified 38%, 29% and 23% of the patients with low, intermediate and high risks for therapy-related side effects, respectively. Median OS was 11.2 months [95%CI: 5.6; 19.4]. The study confirmed that trabectedin as first-line treatment in older patients with STS has an acceptable and manageable safety profile. Potential prognostic factors for clinical outcome and therapy-related toxicity were identified among the GA tools. Long Timed Up and Go (TUG) showed a significant correlation to OS and early death, whereas a high CARG score (>9) was associated with an increase in unplanned hospitalizations and the incidence of toxicities grade ≥ 3.
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OBJECTIVE: This study assessed the cost-effectiveness of nivolumab plus ipilimumab versus both sunitinib and pazopanib for the treatment of first-line unresectable advanced renal cell carcinoma (aRCC) from a healthcare system perspective in Switzerland. METHODS: A three-state partitioned survival model, consisting of progression-free, progressed disease, and death, was constructed. Efficacy estimates were based on data from the CheckMate 214 trial (NCT02231749) with a minimum follow-up of 42 months. Two Swiss oncologists were consulted to determine disease management resource use. Costs were derived from the Swiss tariff lists for outpatient (TARMED Online Browser 1.09) and inpatient (2020 data from Swiss diagnosis-related groups) treatments. Drug acquisition costs (ex-factory prices) were obtained from the March 2020 price list published by the Swiss Federal Office of Public Health. Treatment-specific EQ-5D-3L-based utilities were derived from CheckMate 214 using a French value set as a proxy for Switzerland. The model utilized a 1-week cycle length and a 40-year time horizon, with costs and effects discounted by 3.0% per annum. One-way sensitivity analyses, probabilistic analysis, and scenario analyses assessed the robustness of the results. RESULTS: Nivolumab plus ipilimumab yielded incremental 1.43 life-years and 1.36 lifetime discounted quality-adjusted life-years (QALYs) relative to sunitinib and pazopanib at an additional cost of 147,453 Swiss Francs (CHF) and CHF145,643, respectively. With an incremental cost-utility ratio of CHF108,326 per QALY gained versus sunitinib, and CHF106,996 per QALY gained versus pazopanib, the nivolumab plus ipilimumab combination can be considered a cost-effective option for the treatment of patients with aRCC in Switzerland, with a willingness-to-pay threshold of CHF200,000. Sensitivity and scenario analyses confirmed the robustness of the deterministic results. CONCLUSIONS: This study showed that nivolumab plus ipilimumab, which represents one of the standard-of-care first-line treatments for intermediate- or poor-risk aRCC patients, is a life-extending and cost-effective treatment option for patients in Switzerland.
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Introduction: Current evidence shows that serum miR-371a-3p can identify disease recurrence in testicular germ cell tumour (TGCT) patients and correlates with tumour load. Despite convincing evidence showing the advantages of including miR-371a-3p testing to complement and overcome the classical serum tumour markers limitations, the successful introduction of a serum miRNA based test into clinical practice has been impeded by a lack of consensus regarding optimal methodologies and lack of a universal protocol and thresholds. Herein, we investigate two quantitative real-time PCR (qRT-PCR) based pipelines in detecting disease recurrence in stage I TGCT patients under active surveillance, and compare the sensitivity and specificity for each method. Methods: Sequential serum samples collected from 33 stage I TGCT patients undergoing active surveillance were analysed for miR-371a-3p via qRT-PCR with and without an amplification step included. Results: Using a pre-amplified protocol, all known recurrences were detected via elevated miR-371a-3p expression, while without pre-amplification, we failed to detect recurrence in 3/10 known recurrence patients. For pre-amplified analysis, sensitivity and specificity was 90% and 94.4% respectively. Without amplification, sensitivity dropped to 60%, but exhibited 100% specificity. Discussion: We conclude that incorporating pre-amplification increases sensitivity of miR-371a-3p detection, but produces more false positive results. The ideal protocol for quantification of miR-371a-3p still needs to be determined. TGCT patients undergoing active surveillance may benefit from serum miR-371a-3p quantification with earlier detection of recurrences compared to current standard methods. However, larger cross-institutional studies where samples are processed and data is analysed in a standardised manner are required prior to its routine clinical implementation.
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BACKGROUND: The objective consensus methodology has recently been applied in consensus finding in several studies on medical decision-making among clinical experts or guidelines. The main advantages of this method are an automated analysis and comparison of treatment algorithms of the participating centers which can be performed anonymously. METHODS: Based on the experience from completed consensus analyses, the main steps for the successful implementation of the objective consensus methodology were identified and discussed among the main investigators. RESULTS: The following steps for the successful collection and conversion of decision trees were identified and defined in detail: problem definition, population selection, draft input collection, tree conversion, criteria adaptation, problem re-evaluation, results distribution and refinement, tree finalisation, and analysis. CONCLUSION: This manuscript provides information on the main steps for successful collection of decision trees and summarizes important aspects at each point of the analysis.