1.
Comparative efficacy and safety of tofacitinib, baricitinib, upadacitinib, filgotinib and peficitinib as monotherapy for active rheumatoid arthritis.
Ho Lee, Y, Gyu Song, G
Journal of clinical pharmacy and therapeutics. 2020;(4):674-681
Abstract
WHAT IS KNOWN AND OBJECTIVE Several clinical trials have attempted to evaluate the efficacy and safety of tofacitinib, baricitinib, upadacitinib, filgotinib and peficitinib as monotherapy in patients with active rheumatoid arthritis (RA), but their relative efficacy and safety as monotherapy remain unclear due to the lack of data from head-to-head comparison trials. The relative efficacy and safety of tofacitinib, baricitinib, upadacitinib, filgotinib and peficitinib as monotherapy for rheumatoid arthritis (RA) were assessed. METHODS We performed a Bayesian network meta-analysis to combine direct and indirect evidence from randomized controlled trials (RCTs) and examine the efficacy and safety of tofacitinib, baricitinib, upadacitinib, filgotinib and peficitinib as monotherapy relative to placebo in patients with RA. RESULTS AND DISCUSSION Five RCTs comprising 1547 patients met the inclusion criteria. Compared with placebo, tofacitinib, baricitinib, upadacitinib, filgotinib and peficitinib as monotherapy showed a significantly higher American College of Rheumatology 20% (ACR20) response rate. Peficitinib 150 mg monotherapy showed the highest ACR20 response rate (odds ratio, 17.24.39; 95% credible interval, 6.57-51.80). The ranking probability based on the surface under the cumulative ranking curve indicated that peficitinib 150 mg had the highest probability of being the best treatment for achieving the ACR20 response rate, followed by peficitinib 100 mg, filgotinib 200 mg, filgotinib 100 mg, tofacitinib 5 mg, upadacitinib 15 mg, baricitinib 4 mg and placebo. However, the number of patients who experienced serious adverse events did not differ significantly between the JAK inhibitors, except for tofacitinib 5 mg, and placebo. WHAT IS NEW AND CONCLUSION All five JAK inhibitors-tofacitinib, baricitinib, upadacitinib, filgotinib and peficitinib-were efficacious monotherapy interventions for active RA, and differences were noted in their efficacy and safety in monotherapy.
2.
Iron chelation therapy in thalassemia major: a systematic review with meta-analyses of 1520 patients included on randomized clinical trials.
Maggio, A, Filosa, A, Vitrano, A, Aloj, G, Kattamis, A, Ceci, A, Fucharoen, S, Cianciulli, P, Grady, RW, Prossomariti, L, et al
Blood cells, molecules & diseases. 2011;(3):166-75
Abstract
The effectiveness of deferoxamine (DFO), deferiprone (DFP), or deferasirox (DFX) in thalassemia major was assessed. Outcomes were reported as means±SD, mean differences with 95% CI, or standardized mean differences. Statistical heterogeneity was tested using χ2 (Q) and I2. Sources of bias and Grading of Recommendations Assessment, Development and Evaluation system (GRADE) were considered. Overall, 1520 patients were included. Only 7.4% of trials were free of bias. Overall measurements suggest low trial quality (GRADE). The meta-analysis suggests lower final liver iron concentrations during associated versus monotherapy treatment (p<0.0001), increases in serum ferritin levels during DFX 5, 10, and 20 mg/kg versus DFO-treated groups (p<0.00001, p<0.00001, and p=0.002, respectively), but no statistically significant difference during DFX 30 mg/kg versus DFO (p=0.70), no statistically significant variations in heart T2* signal during associated or sequential versus mono-therapy treatment (p=0.46 and p=0.14, respectively), increases in urinary iron excretion during associated or sequential versus monotherapy treatment (p=0.008 and p=0.02, respectively), and improved ejection fraction during associated or sequential versus monotherapy treatment (p=0.01 and p<0.00001, respectively). These findings do not support any specific chelation treatment. The literature shows risks of bias, and additional larger and longer trials are needed.
3.
Predicting steady-state HbA1c responses to sitagliptin in patients with type 2 diabetes mellitus.
Kanazu, S, Horie, Y, Narukawa, M, Nonaka, K, Taniguchi, T, Arjona Ferreira, JC, Takeuchi, M
Diabetes, obesity & metabolism. 2009;(8):813-8
Abstract
AIMS: To develop predictive formulas using short-term changes in glycaemic parameters [haemoglobin A1c (HbA1c) and fasting plasma glucose (FPG)] with sitagliptin, a highly selective dipeptidyl peptidase-4 inhibitor, to assess longer term steady-state changes in HbA1c. METHODS Results from two, 12-week, double-blind studies of sitagliptin in Japanese patients with type 2 diabetes mellitus receiving once-daily sitagliptin 100 mg were used to construct linear models to develop predictive formulas based on study 1 (S1) and to validate them using study 2 (S2). HbA1c and FPG were the primary and the key secondary end-point for both studies and were both used to develop predictive formulas. RESULTS The predictive formulas using HbA1c+/-FPG results (slope of change) from week 0 to week 4 in S1 showed high correlations between fitted and observed week 12 HbA1c: for HbA1c alone R2=0.76, for HbA1c+FPG R2=0.89. When using the sitagliptin 100 mg group of S2 data set to assess the validity of the predictive formulas, high correlations for HbA1c alone (R2=0.76) and for HbA1c+FPG (R2=0.77) were also observed. Data using a lower dose (25 mg once daily) of sitagliptin also demonstrated similar results. CONCLUSIONS The early responses (over 4 weeks) in HbA1c and FPG with sitagliptin can be used to accurately predict later responses (at week 12) in HbA1c in Japanese patients with type 2 diabetes mellitus. Additional studies applying this approach to other agents with diverse mechanisms are important.