Objective: Comparison of the efficacy and tolerability of five newer anti-obesity medications to guide clinical decision making, examining bupropion-naltrexone combination, liraglutide, lorcaserin, orlistat, and phentermine-topiramate combination.
Methods: A brief literature review and internet search for high-powered, randomized and placebo-controlled drug trials was conducted. Drug trial information was established for five currently approved anti-obesity medications. Secondarily, a statistical comparison of medications through Number Needed to Treat (NNT) and Number Needed to Harm (NNH) analyses were attempted as a way to provide a clinical analysis across these varied medications. Finally, a commentary about clinical application is issued for each agent accounting for typical side-effects, serious side-effects, mechanism of action and ease of use.
Results: All five agents are currently approved oral medications to lower weight. The NNT range was 3-12, and NNH range was 4-17. The agent with the best NNT is phentermine-topiramate combination (NNT=3) and the agent with the best NNH is bupropion-naltrexone combination (NNH=17).
Conclusion: When considering each patient's clinical presentation, knowledge of each drug's mechanism of action, side-effect profile, efficacy, and NNT and NNH values can help in selecting an anti-obesity medication to augment his or her weight loss efforts.
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http://dx.doi.org/10.7573/dic.212291 | DOI Listing |
Curr Nutr Rep
January 2025
Research and Development cell, Department of Intellectual property Rights, Lovely Professional University, Jalandhar- Delhi Grand Trunk Rd., Phagwara, Punjab, 144411, India.
Purpose Of Review: This review explores the mechanistic pathways and clinical implications of phytochemicals in obesity management, addressing the global health crisis of obesity and the pressing need for effective, natural strategies to combat this epidemic.
Recent Findings: Phytochemicals demonstrate significant potential in obesity control through various molecular mechanisms. These include the modulation of adipogenesis, regulation of lipid metabolism, enhancement of energy expenditure, and suppression of appetite.
Obes Sci Pract
February 2025
Division of General Internal Medicine Weill Cornell Medicine New York New York USA.
Introduction: Given the significant interindividual variable responses to interventions for obesity, the early identification of factors associated with a differential in weight loss would benefit real-world approaches in clinical practice.
Objective: This study evaluated the factors associated with individual variability in response to enrolling in a weight management program integrated into an academic-based primary care practice.
Methods: Data were retrospectively collected and analyzed for patients referred to a primary care-based weight management practice between 2012 and 2020.
Adipocyte
December 2025
Department of Pediatrics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Obesity is a global health concern that promotes chronic low-grade inflammation, leading to insulin resistance, a key factor in many metabolic diseases. Angiotensin 1-7 (Ang 1-7), a component of the renin-angiotensin system (RAS), exhibits anti-inflammatory effects in obesity and related disorders, though its mechanisms remain unclear. In this study, we examined the effect of Ang 1-7 on inflammation of white adipose tissue (WAT) in dietary-induced obese mice.
View Article and Find Full Text PDFAnn Behav Med
January 2025
Clinical Strategy, Teladoc Health, Purchase, NY 10577, United States.
Int J Food Sci Nutr
January 2025
Department of Nutrition, School of Public Health, North Khorasan University of Medical Sciences, Bojnurd, Iran.
This meta-analysis aims to compile all randomised controlled trials (RCTs) that examined the effects of grapes or grape products on adult anthropometric measures and serum adipokines. We searched PubMed, Scopus, Google scholar, Web of Science and CENTRAL databases published before January 2022. Random-effects model was used to combine mean differences between intervention and placebo groups.
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