No significant differences were found in ACR50 responses to the four drugs after 24 weeks. Injection-site reactions were more common with etanercept, but this was insufficient to invalidate the inference that clinically the four drugs can be regarded as clinically equivalent for the treatment of psoriatic arthritis.
What is known and objective: Subgroup analysis plays an important role in clinical decision-making. Correct management of subgroup analysis is necessary to optimize effectiveness, safety and efficiency of treatments. No homogeneous criteria have been developed for interpretation of subgroup analysis. In this study, the researcher develops a checklist to evaluate the reliability and applicability of the results of subset analyses. Methods: With a review of previous literature, three main criteria were included in the checklist: statistical association, biological plausibility and consistency among studies. Statistical association considered interaction probability, prespecification of analysis, number of subgroups analysed, sample size and positive/negative result in global analysis. Each item was given an indicative score. Total score was related to a level of applicability for the results in clinical practice. Checklist validation included interinvestigator concordance and assessment about utility. Three drug examples were used to validate the tool.Results and discussion: Twenty-six evaluators showed adequate interinvestigator concordance (kappa 0.79, 1 and 0.83 for each drug example regarding applicability). Kappa values increased to 0.94, 1 and 1 after group discussion. Checklist utility score was greater than 4.7/5 in three drug examples. In pre-analysis, inter-researcher agreement on global applicability recommendation of subgroup results to practice was 92.3% (ramucirumab), 96% (nivolumab) and 100% (mepolizumab). In post-analysis, inter-researcher agreement on applicability recommendation of subgroup results was 100%, 94.45% and 100%, respectively. The checklist validation shows a high interindividual agreement of the results, both with respect to the evaluation of the applicability of subgroup analysis and concerning clinical decision-making. What is new and conclusion:We have developed the first validated tool for interpretation of subgroup analyses. The checklist contributes to the adoption of homogeneous criteria for subgroup analyses, thereby allowing discussion and evaluation of the effects of a health intervention. K E Y W O R D S checklist, clinical decision-making, data interpretation, drug evaluation, statistical, subgroup analysis, validation studies | 531 GIL-SIERRA Et AL. How to cite this article: Gil-Sierra MD, Fénix-Caballero S, Abdel kader-Martin L, et al. Checklist for clinical applicability of subgroup analysis. J Clin Pharm Ther. 2020;45:530-538.
Breast cancer is one of the most frequent malignancies. The aim of the article is to analyse the cost-utility ratio and budgetary impact of talazoparib treatment for patients with locally advanced or metastatic gBRCA þ breast cancer from the perspective of the Spanish National Health System. Analyses were based on the EMBRACA clinical trial and the model was constructed according to "partitioned survival analysis". Two scenarios were considered in order to compare talazoparib with the alternatives of capecitabine, vinorelbine and eribulin: 1. Chemotherapy in patients pre-treated with anthracyclines/taxanes and, 2. A second-and subsequent-line treatment option. Treatment types following relapse were recorded in the mentioned clinical trial. The effectiveness measure used was quality-adjusted life years (QALY). The average health cost of patients treated at 43 months with talazoparib was 84,360.86V, whilst current treatment costs were 26,683.90V. The effectiveness of talazoparib was 1.93 years of survival (1.09 QALY) relative to 1.58 years (0.83 QALY) in the treatment group. The incremental cost-utility ratio was 252,420.04V/QALY. This represents the additional cost required to earn an additional QALY when changing from regular treatment to talazoparib. Regarding budgetary impact, the number of patients susceptible to receiving treatment with between 94 and 202 talazoparib was estimated, according to scenario and likelihood. The 3-year cost difference was between 6.9 and 9 million euros. The economic evaluation conducted shows an elevated incremental cost-utility ratio and budgetary impact. Taking these results into account, the price of talazoparib would have to be lower than that taken as a reference to reach the cost-utility thresholds.
What is known and objective Rheumatoid arthritis (RA) is an autoimmune disease characterized primarily by inflammation and pain in the joints. Tofacitinib is an oral drug recently approved for RA treatment; it inhibits Janus protein kinases (JAK) that reduces RA symptoms when conventional DMARDs do not trigger a response. This study aimed to compare the efficacy of biological DMARDs in monotherapy or combined with methotrexate in RA patients and compare the treatments. Methods We reviewed the literature for articles published up to June 2017, evaluating the efficacy and safety of the biological DMARDs indicated for RA in patients with inadequate responses to conventional DMARDs and naïve to biological DMARDs, in similar populations, considering ACR50 as the efficacy variable. The odds ratio (OR) and 95% confidence interval (CI) were calculated for each drug combination, and these parameters were transformed into differences in responses to assess the effectiveness of the alternative medicines. Equivalence therapeutic alternatives (ETA) were ensured to assess the possibility of considering these medications with equivalent efficacy. A network meta‐analysis (NMA) was performed using Bayesian approaches and the fixed‐effects model. Results and discussion Twenty‐seven randomized clinical trials (RCTs) that met the pre‐established criteria were identified. The 95% CI of biological DMARDs was higher than that of placebo without methotrexate, except for certolizumab, golimumab‐m, anakinra‐m and adalimumab monotherapy. These DMARDs performed significantly better than the placebo, except for etanercept, certolizumab, tofacitinib and golimumab. Certolizumab‐m was better than anakinra‐m and adalimumab, and tocilizumab alone or combined with methotrexate was superior to adalimumab. Etanercept‐m yielded a higher difference in responses compared with the other biological DMARDs, which presented more homogeneous responses, except for adalimumab and anakinra‐m, which yielded worse results. None of the biological DMARDs displayed ETA to etanercept‐m; however, they displayed ETA with certolizumab‐m, except for adalimumab and anakinra‐m. What is new and conclusion All biological DMARDs used in combination with methotrexate, except for etanercept, anakinra, certolizumab and tocilizumab without methotrexate, were displayed ETA on using ACR50 at week 24 in patients naïve to biological DMARDs. Etanercept displayed a greater difference in responses, although the high uncertainty of the comparative results prevented the confirmation of the increased efficacy of this drug.
Objectives Multiple myeloma (MM) is a complex disease. Lack of direct comparisons among treatments and incorporation of new alternatives make it necessary to perform studies that allow for clinical decision‐making. A network meta‐analysis (NMA) was developed to evaluate the comparative efficacy among different therapeutic alternatives in newly diagnosed transplant‐ineligible MM patients. Methods MEDLINE® and EMBASE® were systematically searched up for these drugs: lenalidomide, thalidomide, bortezomib, and daratumumab. Comparative phase II‐III randomized clinical trials (RCTs) were included. Progression‐free survival (PFS) was selected as efficacy outcome. The NMA was developed using Bayesian methods. Fixed‐ and random‐effects models were assessed using deviance information criteria. Results The systematic search yielded 593 results. Ten RCTs were included. No differences were observed between fixed‐ and random‐effects models. The combination of daratumumab, bortezomib, melphalan, and prednisone showed the best HR in PFS (reference treatment). Along with this scheme, the best PFS results were obtained by combination of daratumumab, lenalidomide, and dexamethasone (HR 1.2, 95% CrI 0.64‐2.4) and bortezomib with lenalidomide and dexamethasone (HR 1.6, 95% CrI 0.81‐3.0). Conclusions Schemes with the best PFS results were daratumumab treatments and combination of bortezomib, lenalidomide, and dexamethasone, although the latter scheme has been analyzed in heterogeneous populations.
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