ESMO-MCBS v1.1 incorporates 10 revisions and will allow for scoring of single-arm studies. Scoring remains very stable; revisions in v1.1 alter the scores of only 12 out of 118 comparative studies and facilitate scoring for single-arm studies.
PURPOSE To better understand the European Society for Medical Oncology-Magnitude of Clinical Benefit Scale version 1.1 (ESMO-MCBS v1.1) and the ASCO Value Framework Net Health Benefit score version 2 (ASCO-NHB v2), ESMO and ASCO collaborated to evaluate the concordance between the frameworks when used to assess clinical benefit attributable to new therapies. METHODS The 102 randomized controlled trials in the noncurative setting already evaluated in the field testing of ESMO-MCBS v1.1 were scored using ASCO-NHB v2 by its developers. Measures of agreement between the frameworks were calculated and receiver operating characteristic curves used to define thresholds for the ASCO-NHB v2 corresponding to ESMO-MCBS v1.1 categories. Studies with discordant scoring were identified and evaluated to understand the reasons for discordance. RESULTS The correlation of the 102 pairs of scores for studies in the noncurative setting is estimated to be 0.68 (Spearman’s rank correlation coefficient; overall survival, 0.71; progression-free survival, 0.67). Receiver operating characteristic curves identified thresholds for ASCO-NHB v2 for facilitating comparisons with ESMO-MCBS v1.1 categories. After applying pragmatic threshold scores of 40 or less (ASCO-NHB v2) and 2 or less (ESMO-MCBS v1.1) for low benefit and 45 or greater (ASCO-NHB v2) and 4 to 5 (ESMO-MCBS v1.1) for substantial benefit, 37 discordant studies were identified. Major factors that contributed to discordance were different approaches to evaluation of relative and absolute gain for overall survival and progression-free survival, crediting tail of the curve gains, and assessing toxicity. CONCLUSION The agreement between the frameworks was higher than observed in other studies that sought to compare them. The factors that contributed to discordant scores suggest potential approaches to improve convergence between the scales.
The ESMO-DCs had a high level of PC infrastructure and provided access to a large proportion of patients with advanced cancer. The survey supports that the 13 criteria required for ESMO designation set a robust framework for integration, stimulated investment of resources into some palliative care programmes prior to accreditation, and raised the interest about palliative care among clinicians, trainees and patients.
BackgroundA recent international consensus panel identified 13 major indicators to assess the level of integration between oncology and palliative care. We examined these indicators among European Society for Medical Oncology (ESMO) Designated Centres (ESMO-DCs) of Integrated Oncology and Palliative Care (PC) and determined the centre characteristics associated with greater integration.MethodsThis is a preplanned secondary analysis of a recent survey to characterise the structure, processes and outcomes of the palliative care programmes at ESMO-DCs. We assessed the level of integration using 13 major indicators. We calculated two Palliative Care and Oncology Integration Indexes consisting of all 13 indicators (PCOI-13, range 0–13) and 9 of the 13 indicators (PCOI-9, range 0–9), with a higher index indicating greater integration.ResultsThe survey response rate was 152/184 (83%). Among the 13 major indicators, interdisciplinary team was most likely to be achieved (95%), while early referral to palliative care (median time from referral to death >6 months before death) was only present in 24 (20%) of ESMO-DCs. The median PCOI-13 was 7.8 (IQR 6.4–9.6) and the median PCOI-9 was 6 (IQR 5–7). The presence of dually trained palliative oncologists was associated with higher PCOI-13 (median 8.4 vs 7.0; p=0.01) and PCOI-9 (median 6 vs 5; p=0.03). Non-tertiary hospitals generally had higher PCOI-13 (median 8.6 vs 7.2; p=0.01) and ESMO-DCs outside of Europe had higher PCOI-9 (median 7 vs 6; p=0.03).ConclusionsAssessment of the level of integration at ESMO-DCs with PCOIs highlighted strengths, areas for further development and how double-boarded palliative oncologists may promote integration.
ObjectiveValue frameworks in oncology have not been validated for the assessment of treatments in haematological malignancies, but to avoid overlaps and duplications it appears reasonable to build up experience on existing value frameworks, such as the European Society for Medical Oncology—Magnitude of Clinical Benefit Scale (ESMO-MCBS).MethodsHere we present the results of the first feasibility testing of the ESMO-MCBS v1.1 for haematological malignancies based on the grading of 80 contemporary studies for acute leukaemia, chronic leukaemia, lymphoma, myeloma and myelodysplastic syndromes. The aims were (1) to evaluate the scorability of data, (2) to evaluate the reasonableness of the generated grades for clinical benefit using the current version and (3) to identify shortcomings in the ESMO-MCBS v1.1 that require amendments to improve the efficacy and validity of the scale in grading new treatments in the management of haematological malignancies.ResultsIn general, the ESMO-MCBS v1.1 was found to be widely applicable to studies in haematological malignancies, generating scores that were judged as reasonable by European Hematology Association (EHA) experts. A small number of studies could either not be graded or were not appropriately graded. The reasons, related to the differences between haematological and solid tumour malignancies, are identified and described.ConclusionsBased on the findings of this study, ESMO and EHA are committed to develop a version of the ESMO-MCBS that is validated for haematological malignancies. This development process will incorporate all of the usual stringencies for accountability of reasonableness that have characterised the development of the ESMO-MCBS including field testing, statistical modelling, evaluation for reasonableness and openness to appeal and revision. Applying such a scale will support future public policy decision-making regarding the value of new treatments for haematological malignancies and will provide insights that could be helpful in the design of future clinical trials.
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