Objective: Real-world clinical effectiveness of liraglutide 3.0 mg, in combination with diet and exercise, was investigated 4 and 6 months post initiation. Changes in absolute and percent body weight were examined from baseline.
Methods: A cohort of liraglutide 3.0 mg initiators in 2015 and 2016 was identified from six Canadian weight-management clinics. Post initiation values at 4 and 6 months were compared with baseline values using a paired t test.
Results: The full cohort consisted of 311 participants, with 210 in the ≥ 4-month persistence group and 167 in the ≥ 6-month persistence group. Average baseline BMI was 40.7 kg/m , and weight was 114.8 kg. There was a significant change in body weight 6 and 4 months after initiation of treatment in persistent subjects (≥ 6-month: -8.0 kg, P < 0.001; ≥ 4-month: -7.0 kg, P < 0.001) and All Subjects, regardless of persistence (-7.3 kg; P < 0.001). Percentage change in body weight from baseline was -7.1% in the ≥ 6-month group and -6.3% in the ≥ 4-month group, and All Subjects lost 6.5% body weight. Of participants in the ≥ 6-month group, 64.10% and 34.5% lost ≥ 5% and > 10% body weight, respectively.
Conclusions: In a real-world setting, liraglutide 3.0 mg, when combined with diet and exercise, was associated with clinically meaningful weight loss.
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http://dx.doi.org/10.1002/oby.22462 | DOI Listing |
Clin Trials
January 2025
Department of Biostatistics, University of Florida, Gainesville, FL, USA.
Introduction: The sequential parallel comparison design has emerged as a valuable tool in clinical trials with high placebo response rates. To further enhance its efficiency and effectiveness, adaptive strategies, such as sample size adjustment and allocation ratio modification can be employed.
Methods: We compared the performance of Jennison and Turnbull's method and the Promising Zone approach for sample size adjustment in a two-phase sequential parallel comparison design study.
Br J Hosp Med (Lond)
January 2025
Department of Surgery & Cancer, Imperial College London, London, UK.
Predictive algorithms have myriad potential clinical decision-making implications from prognostic counselling to improving clinical trial efficiency. Large observational (or "real world") cohorts are a common data source for the development and evaluation of such tools. There is significant optimism regarding the benefits and use cases for risk-based care, but there is a notable disparity between the volume of clinical prediction models published and implementation into healthcare systems that drive and realise patient benefit.
View Article and Find Full Text PDFExpert Opin Biol Ther
January 2025
State Key Laboratory of Respiratory Disease, Joint International Research Laboratory of Respiratory Health, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Department of Allergy and Clinical Immunology, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, P.R. China.
Introduction: Clinical experience with anti-interleukin (IL)-5 biologic therapies for severe asthma has been increasing, alongside deeper and broader research focusing on the role of IL-5 and the IL-5 targeted mepolizumab. This review aims to provide an update of the evidence on the role of IL-5 and mepolizumab, with discussions of the benefits of mepolizumab and its future potential, to promote the comprehension of the pathophysiology and therapeutic approaches to asthma.
Areas Covered: For this narrative review, we conducted a database search in PubMed and Embase using the keywords 'IL-5' and 'mepolizumab,' focusing on randomized controlled trials and real-world studies up to September 2024.
Cancer Med
February 2025
Pulmonology and Thoracic Oncology Department, APHP Hôpital Tenon and Sorbonne Université, Paris, France.
Background: Real-world data regarding patients with non-small cell lung cancer (NSCLC) with EGFR exon 20 insertion (ex20ins) mutations receiving mobocertinib are limited. This study describes these patients' characteristics and outcomes.
Methods: A chart review was conducted across three countries (Canada, France, and Hong Kong), abstracting data from eligible patients (NCT05207423).
Cancer Med
February 2025
Department of Medical Oncology, IRCCS Ospedale San Raffaele, Milan, Italy.
Introduction: Pancreatic cancer arising in the context of BRCA predisposition may benefit from poly(ADP-ribose) polymerase inhibitors. We analyzed real-world data on the impact of olaparib on survival in metastatic pancreatic cancer patients harboring germline BRCA mutations in Italy, where olaparib is not reimbursed for this indication.
Methods: Clinico/pathological data of pancreatic cancer patients with documented BRCA1-2 germline pathogenic variants who had received first-line chemotherapy for metastatic disease were collected from 23 Italian oncology departments and the impact of olaparib exposure on overall survival (OS) was analyzed.
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