New options for the treatment of obesity and type 2 diabetes mellitus (narrative review)
Open accessAbstract
Moderate weight loss (>5%), which has been associated with improvements in glycemic parameters in patients with dysglycemia, also reduces the presence of other comorbidities, including dyslipidemia and hypertension, culminating in a reduced risk of cardiovascular disease. Lifestyle changes are the recommended preliminary approach to weight loss, with an initial weight-loss goal of 10% of body weight achieved over 6 months at a rate of 1-2 pounds per week selected as an appropriate target to decrease the severity of obesity-related risk factors. Implementing and maintaining the lifestyle changes associated with weight loss can, however, be challenging for many patients. Therefore, additional interventions sometimes may be necessary. Bariatric surgery can also be a highly effective option for weight loss and comorbidity reduction, but surgery carries considerable risks and is still applicable only to selected patients with type 2 diabetes. Thus, attention is turning to the use of weight-loss medications, including 2 recently approved compounds: twice-daily lorcaserin and a once-daily combination of phentermine and topiramate extended-release, both shown to be safe and effective therapies in the management of obesity in patients with type 2 diabetes.
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Orlistat at 120 mg three times daily with meals produced placebo-subtracted weight loss of about 4% after 1 year in people without type 2 diabetes.
“Orlistat at a dose of 120 mg 3 times per day taken with meals produced placebo-subtracted weight loss of ~4% after 1 year in persons without T2D745”
From American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. (2022) · cites this paper as [745]
Section 3.4.2 reports an orlistat dose of 120 mg three times daily, and section 3.3.1 reports weight loss versus placebo. But the reported comparison is at four years (5.8 kg versus 3.0 kg); these passages do not establish approximately 4% placebo-subtracted loss after one year, dosing with meals, or that the result applies specifically to people without T2D. Page numbers are unavailable in our copy. (LLM, conf=0.86)
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- Authors
- Henry, R. R., Chilton, R., & Garvey, W. T.
- Affiliations
- University of California San Diego (US)
- University of Alabama at Birmingham (US)
- Corresponding author
- Henry, Robert R.
- Venue
- Journal of Diabetes and its Complications
- Publisher
- Elsevier BV
- Published
- 2013-09
- Volume
- 27
- Issue
- 5
- Pages
- 508-518
- ISSN
- 0891-6632 (ISSN-L)
- 1056-8727
- PMC
- PMC4139280
- OpenAlex
- W2143394788
- Cited by
- 53
- References
- 67
- Citations by year
- 2024: 4 · 2023: 2 · 2022: 3 · 2021: 1 · 2020: 2 · 2019: 2 · 2018: 4 · 2017: 4 · 2016: 7 · 2015: 8 · 2014: 12 · 2013: 4
- FWCI
- 1.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Diabetes and its Complications (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Veterans Affairs (I01CX000432)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK079626)
- Topics
- Health Sciences › Medicine › Pharmacology › Pharmacology and Obesity Treatment
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Surgery › Bariatric Surgery and Outcomes
- Keywords
- obesity, type 2 diabetes, weight loss, lifestyle intervention, bariatric surgery, anti-obesity drugs, lorcaserin, glycemic control, comorbidity reduction, cardiovascular risk
- MeSH terms
- Diabetes Mellitus, Type 2, Humans, Obesity, Drugs, Investigational, Anti-Obesity Agents, Risk Reduction Behavior, Bariatric Surgery
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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