ArticleScientific reports2025
Effects from treating moderate- to high-risk obesity patients with anti-obesity medication from a societal perspective.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Liraglutide in Adults With Obesity: A Multicentre, Single-Arm, Post-Marketing Surveillance Study in Taiwan.Endocrinology, diabetes & metabolism · 2026Article
- Semaglutide in the Real World: Attitudes of the Population.Pharmacy (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Obesity is a global health concern with new medication treatment options. So far, research on how programs with newer anti-obesity medication (AOM) for the moderate- to high-risk population can mitigate the prevalence of obesity and reduce the economic burden of society is limited. We aimed to assess such impacts of AOM and lifestyle intervention with the GLP-1 receptor agonist semaglutide on patients with different obesity classes, i.e. risks (and no diabetes), based on clinical trial data. We estimated the treatment effect on prevalence, medical and indirect costs using the population-attributable fraction approach and various data sources. We modified prevalence data from the Austrian Health Interview Survey 2019 (n = 15,461) using data about proportional weight reductions after the treatment with semaglutide as an adjunct to lifestyle intervention. In a life-cycle model, we compared the costs of obesity classes. Treating 50% of patients with obesity class II and III (excl. diabetes patients, including patients not responding to the treatment) over 68 weeks, reduced the prevalence from 4% to 2.74% (95% CI 2.739-2.743) and from 1.45% to 0.97% (95% CI 0.969-0.997), respectively. This resulted in a reduction of 12.9% (€ - 108.7 million) of expenses related to obesity class II and III per year. Over the life cycle, a reduction in obesity class reduced costs by about 40% per patient. The newer AOM can aid in reducing moderate- and high-risk obesity rates and bring economic and health benefits to society, given that AOM are available and affordable for the respective populations.
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Registered trials
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