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Semaglutide Cost-Effectiveness Varies Dramatically Depending on Who Funds the Study

evidence
The takeaway

Semaglutide was cost-effective in 74% of all comparisons with other diabetes drugs, but 100% of Novo Nordisk-sponsored studies found it cost-effective versus only 50% of independent studies and 0% of studies funded by other manufacturers.

100% vs 50% vs 0%

Cost-effectiveness conclusions varied by sponsor: Novo Nordisk studies all favored semaglutide, independent studies split 50/50, and competitor-funded studies never found it cost-effective

What the researchers found

Across 45 articles containing 119 comparisons, semaglutide was dominant or cost-effective in 73.9% of all analyses against within-study willingness-to-pay thresholds. However, sponsor type dramatically influenced results:

- **Novo Nordisk-sponsored**: 100% found semaglutide dominant/cost-effective

- **Non-industry sponsored**: 50% found semaglutide cost-effective

- **Other industry sponsors**: 0% found semaglutide cost-effective

Semaglutide was more likely to appear cost-effective in high-income countries, studies with longer time horizons, broader perspectives, and lower discount rates. Results remained consistent when converted to a common US$50,000/QALY willingness-to-pay threshold.

Why it matters

With semaglutide becoming one of the most prescribed and expensive drugs globally, understanding its true cost-effectiveness is critical for healthcare systems. The striking difference between industry-funded and independent analyses reveals how modeling choices — time horizon, perspective, discount rate — can be tuned to produce favorable results. This finding has implications not just for semaglutide but for how we evaluate the economic value of all expensive peptide-based therapeutics.

How the study worked

Systematic review and meta-analysis searching PubMed, Embase, and the Cost-Effectiveness Analysis Registry through June 2024. Included 45 articles (119 comparisons) from Europe (24), North America (13), and Asia (8). Extracted lifetime costs and quality-adjusted life-years (QALYs). Calculated proportions for cost-effectiveness outcomes and performed subgroup analyses by region, sponsor type, comparator type, and model assumptions. Reporting quality was assessed (86.7% high quality). Nearly 69% of studies were industry-sponsored.

What this study cannot tell us

Cost-effectiveness analyses inherently rely on modeling assumptions that can significantly influence outcomes — the wide variation by sponsor type may partly reflect legitimate differences in model design rather than pure bias. The review couldn't access proprietary model details to assess exactly which assumptions drove differences. Regional economic variations make direct cross-country comparisons challenging. Most studies used a lifetime horizon (93.3%), which involves significant extrapolation beyond available clinical data. The analysis focused on diabetes, not obesity indications where cost-effectiveness may differ.

How to read the evidence

This is a well-conducted systematic review and meta-analysis of economic evaluations — the appropriate methodology for synthesizing cost-effectiveness evidence. The high reporting quality of included studies (86.7%) is a strength. However, cost-effectiveness analyses are inherently model-dependent, making them more susceptible to sponsor influence than clinical outcome trials.

When this study was published

Published in 2025 in Diabetes Care (a top-tier diabetes journal) with a search through June 2024, this is a very current synthesis of the semaglutide cost-effectiveness literature.

The bigger picture

As GLP-1 receptor agonists and other peptide drugs become the most expensive category in global pharmaceutical spending, health economics analyses increasingly determine patient access. This meta-analysis exposes a systemic problem: industry-sponsored economic models consistently favor the sponsor's product through choices in modeling assumptions. For healthcare decision-makers allocating limited budgets, understanding this bias is essential for making evidence-based coverage decisions about peptide therapeutics.

Questions still open

  • Should healthcare decision-makers discount or require independent verification of industry-sponsored cost-effectiveness analyses for expensive peptide drugs?
  • Would mandating standardized modeling assumptions across cost-effectiveness studies reduce the influence of sponsor bias?
  • How does the cost-effectiveness of semaglutide for obesity compare to its assessment in diabetes?

Common questions

What does 'cost-effective' mean for a drug like semaglutide?
A drug is considered 'cost-effective' when its additional health benefits (measured in quality-adjusted life-years or QALYs) justify its additional cost compared to alternatives. In the US, a common threshold is $50,000–$150,000 per QALY gained. If semaglutide provides enough extra healthy years to justify its higher price compared to metformin or insulin, it's 'cost-effective.' A drug is 'dominant' when it's both more effective AND less expensive than alternatives. The challenge is that these calculations depend heavily on assumptions about long-term outcomes, drug prices, and healthcare costs.
Why do industry-funded studies reach different conclusions than independent ones?
Cost-effectiveness models require dozens of assumptions about drug efficacy over a lifetime, complication rates, healthcare costs, and how to value future health benefits. Industry sponsors tend to choose assumptions that favor their product: longer time horizons (which amplify small annual benefits), broader perspectives (which count societal savings like work productivity), and lower discount rates (which make future health benefits worth more today). Independent researchers may use more conservative assumptions. Neither approach is necessarily wrong, but the consistent pattern of results favoring the sponsor across all studies raises concerns about objectivity.

Read the original research

Cost-effectiveness of Semaglutide Compared With Other Glucose-Lowering Medications in Treating Type 2 Diabetes: A Comprehensive Systematic Review and Meta-analysis.

Diabetes care, 48(6), 1032-1041

Citation

Liu, Ziyun; Zeng, Baoqi; Sun, Feng; Xia, Qing. (2025). Cost-effectiveness of Semaglutide Compared With Other Glucose-Lowering Medications in Treating Type 2 Diabetes: A Comprehensive Systematic Review and Meta-analysis.. Diabetes care, 48(6), 1032-1041. https://doi.org/10.2337/dc24-2241