231 Upper and Lower Gastrointestinal Safety Profile of Celecoxib: Patient-Level Pooled Analysis of 51,048 Patients in Randomized, Double-Blinded, Parallel-Group Clinical Trials

2010 ◽  
Vol 138 (5) ◽  
pp. S-44
Author(s):  
Gurkirpal Singh ◽  
George Triadafilopoulos ◽  
Naurang M. Agrawal ◽  
Geoff Makinson ◽  
Mark (Chunming) Li ◽  
...  
2020 ◽  
Vol 19 (1) ◽  
Author(s):  
T. M. Hommels ◽  
R. S. Hermanides ◽  
B. Berta ◽  
E. Fabris ◽  
G. De Luca ◽  
...  

Abstract Background Several studies compared everolimus-eluting bioresorbable scaffolds (EE-BRS) with everolimus-eluting stents (EES), but only few assessed these devices in patients with diabetes mellitus. Aim To evaluate the safety and efficacy outcomes of all-comer patients with diabetes mellitus up to 2 years after treatment with EE-BRS or EES. Methods We performed a post hoc pooled analysis of patient-level data in diabetic patients who were treated with EE-BRS or EES in 3 prospective clinical trials: The ABSORB DM Benelux Study (NTR5447), TWENTE (NTR1256/NCT01066650) and DUTCH PEERS (NTR2413/NCT01331707). Primary endpoint of the analysis was target lesion failure (TLF): a composite of cardiac death, target vessel myocardial infarction or clinically driven target lesion revascularization. Secondary endpoints included major adverse cardiac events (MACE): a composite of all-cause death, any myocardial infarction or clinically driven target vessel revascularization, as well as definite or probable device thrombosis (ST). Results A total of 499 diabetic patients were assessed, of whom 150 received EE-BRS and 249 received EES. Total available follow-up was 222.6 patient years (PY) in the EE-BRS and 464.9 PY in the EES group. The adverse events rates were similar in both treatment groups for TLF (7.2 vs. 5.2 events per 100 PY, p = 0.39; adjusted hazard ratio (HR) = 1.48 (95% confidence interval (CI): 0.77–2.87), p = 0.24), MACE (9.1 vs. 8.3 per 100 PY, p = 0.83; adjusted HR = 1.23 (95% CI: 0.70–2.17), p = 0.47), and ST (0.9 vs. 0.6 per 100 PY, p > 0.99). Conclusion In this patient-level pooled analysis of patients with diabetes mellitus from 3 clinical trials, EE-BRS showed clinical outcomes that were quite similar to EES.


Pain Practice ◽  
2016 ◽  
Vol 17 (6) ◽  
pp. 718-728 ◽  
Author(s):  
John D. Markman ◽  
Troels Staehelin Jensen ◽  
David Semel ◽  
Chunming Li ◽  
Bruce Parsons ◽  
...  

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 9599-9599
Author(s):  
J. A. Sloan ◽  
H. Liu ◽  
D. J. Sargent ◽  
D. Satele ◽  
P. L. Schaefer ◽  
...  

9599 Background: We have previously identified overall a single-item measure for baseline quality of life (QOL) as a strong prognostic factor for survival (Tan, ASCO 2008), and that fatigue was an important component of patient QOL (Sloan, 2007). To explore whether patient-reported fatigue was supplemental or redundant to the prognostic information of overall QOL, we performed a patient-level pooled analysis of 43 NCCTG and MCCC oncology clinical trials of the effect of baseline fatigue on OS. Methods: 3,915 patients participating in 43 trials provided data at baseline for fatigue on a single-item 0–100 point scale. OS was tested for association with clinically deficient fatigue (CDF, score 0–50, n=1,497) vs not clinically deficient fatigue (nCDF, score 51–100, n=2,418). Cox proportional hazards models adjusted for the effects of overall QOL, performance score, race, disease site, age and gender. Results: Baseline fatigue was a strong predictor of OS for the entire patient cohort (CDF vs. nCDF: 31.5 mos vs >83.9 mos, p<0.0001). The effect sizes were consistent across different disease sites (GI, esophageal, head and neck, prostate, lung, breast and others). After controlling for covariates, including performance status and overall QOL, baseline fatigue remained a strong prognostic factor in multivariate models (CDF vs. nCDF: HR=1.23, p=0.02). Conclusions: Fatigue is a strong prognostic factor for OS independent of overall QOL and PS in a wide variety of oncology patient populations. Single-item measures of overall QOL and fatigue can help to identify vulnerable subpopulations among cancer patients. No significant financial relationships to disclose.


2017 ◽  
Vol 72 (8) ◽  
pp. 2368-2377 ◽  
Author(s):  
Bart Jan Kullberg ◽  
José Vasquez ◽  
Piroon Mootsikapun ◽  
Marcio Nucci ◽  
José-Artur Paiva ◽  
...  

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