| Literature DB >> 35284548 |
Ying Hu1, Shui-Lian Zheng1, Xiu-Li Yang1, Ping Huang1,2, Xiao-Lan Ye1, Jia-Na Shi1, Xiao-Wei Zheng1, Han-Sheng Pan1, Yi-Wen Zhang1,2.
Abstract
Background: The number of obese people continues to increase worldwide, and obesity-related complications add to every country's health burden. Consequently, new weight-loss medications, such as glucagon-like peptide-1 receptor agonists (GLP-1RAs), are attracting increasing attention. This study sought to assess the cost effectiveness for weight loss of 4 GLP-1RAs in adult patients with obesity in the United States.Entities:
Keywords: Glucagon-like peptide-1 receptor agonists (GLP-1RAs); cost‐effectiveness analysis; obesity; weight loss
Year: 2022 PMID: 35284548 PMCID: PMC8904982 DOI: 10.21037/atm-22-200
Source DB: PubMed Journal: Ann Transl Med ISSN: 2305-5839
Characteristics of populations used in the clinical trials.
| Trials | Zinman | Russell-Jones | Apovian | Wysham | P value* | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Semaglutide | Placebo | Liraglutide | Placebo | Exenatide | Placebo | Dulaglutide | Placebo | |||||
| Sample Size | 150 | 151 | 230 | 114 | 96 | 98 | 163 | 83 | 0.210 | |||
| Age (years) | 57.5 (8.9) | 56.6 (10.1) | 57.6 (9.5) | 57.5 (9.6) | 54.5 (10.0) | 55.1 (9.0) | 56 (10.0) | 55 (10.0) | 0.045 | |||
| Male (%) | 59% | 58% | 57% | 49% | 37% | 38% | 58% | 59% | 0.625 | |||
| Female (%) | 4% | 42% | 43% | 51% | 63% | 62% | 42% | 41% | 0.625 | |||
| Baseline Weight (kg) | 89.6 (19.5) | 93.8 (22.3) | 85.5 (19.4) | 85.7 (16.7) | 94.9 (16.5) | 96.2 (15.6) | 96 (20.0) | 94 (19.0) | 0.160 | |||
| BMI (kg/m2) | 31.1 (6.2) | 32.7 (6.9) | 30.4 (5.3) | 31.3 (5.0) | 33.6 (3.7) | 33.9 (4.3) | 33 (5.0) | 33 (6.0) | 0.094 | |||
Values are mean (SD). *P>0.01 indicates no significant difference between the four treatments. BMI, body mass index.
Treatment effects and costs applied in the analyses.
| Treatment | Total ΔBMI | Monthly medication costs, $ | Daily needle costs, $ |
|---|---|---|---|
| No treatment | 0.0762 | 0 | 0 |
| Semaglutide | –1.40 | 827.7 | 1.689 |
| Liraglutide | –0.49 | 921.9 | 23.646 |
| Exenatide | –0.79 | 729.6 | 11.823 |
| Dulaglutide | –0.882 | 813.6 | 1.689 |
BMI, body mass index.
Base-case results
| Treatment | Total costs, $ | ΔQALYs | ICER, $/QALY |
|---|---|---|---|
| No treatment | 0 | –0.0002 | – |
| Semaglutide | 5137.32 | 0.0083 | 135467 |
| Liraglutide | 5772.30 | 0.0032 | Dominated |
| Exenatide | 4674.57 | 0.0048 | 982032 |
| Dulaglutide | 5052.33 | 0.0053 | 733243 |
QALY, quality-adjusted life year; ICER, incremental cost-effectiveness ratio.
Figure 1Base-case results of cost-effectiveness planes. The dashed lines indicate the efficiency frontiers.
Figure 2Tornado diagrams comparing Exenatide vs. Semaglutide in a one‐way sensitivity analysis ranged in Semaglutide ICERs. ICER, incremental cost‐effectiveness ratio. WTP, willingness-to-pay.
Figure 3PSA results depicted as acceptability curves. The WTP threshold is indicated by the dashed line in the base case. WTP, willingness-to-pay. PSA, probabilistic sensitivity analysis.
Figure 4Acceptability curves of PSAs for cost‐effectiveness planes. PSA, probabilistic sensitivity analysis.
Figure 5Scatter plot of PSA results for Semaglutide and Exenatide. PSA, probabilistic sensitivity analysis.