Carbon Emission Impact of Semaglutide in People with Obesity in the UK Using a Disease Modelling Approach
- Design
- Retrospective cohort · Unknown outcome
- Match to healthy normal-weight adults aged 55–75
- Different population[Auto] Participants had obesity/overweight (BMI ≥30 required).
- Could weight loss explain it?
- Possibly[Auto] Participants had obesity and/or type 2 diabetes and the abstract does not separate direct drug effects from weight loss or glycaemic improvement.
- Study tier
- Study tier 3[Auto] Observational design; confounding by indication and healthy-user effects cannot be excluded (auto-provisional).
- Assessment
- Version 1 · automatic, not yet reviewed by a person · Sep 13, 2026
Study facts come from the paper. Population match, weight-loss explanation and study tier are our judgments, made against the reference group of healthy normal-weight adults aged 55–75.
[Auto, unreviewed; quoted from abstract conclusions] Semaglutide offers both clinical and environmental benefits in obesity management, supporting the UK's net-zero emissions goals.
01Findings
What the study reported
- Drugs
- Semaglutide
- Dose
- 2.4 mg
- Comparator
- diet and exercise alone
- Primary outcome
- Not extracted
- Effect
- Not extracted
- 95% confidence interval
- Not extracted
- Follow-up
- Not stated
- Adverse events
- Not extracted
- Limitations
- Auto-classified from abstract only; effect estimates, adverse events and limitations not extracted. Requires manual review.
Who was studied
- Bmi min
- 30
- Obesity status
- obesity/overweight present (all or most)
- Diabetes status
- diabetes mentioned
- Cvd status
- cardiovascular disease present in population (see abstract)
Study quality details
- Study design
- Retrospective cohort
- Sample size
- not extracted
- Randomization
- no
- Blinding
- not stated
- Comparator
- not stated
- Follow up duration
- not stated
- Outcome type
- unknown
- Replication
- not assessed (auto)
- Consistency with other evidence
- not assessed (auto)
- Population applicability
- INDIRECT
- Statistical precision
- not extracted
- Risk of bias
- not assessed (auto)
- Funding conflicts
- unclear
- Peer review status
- yes
02Funding
Funding and conflicts
- Funding
- not reported in abstract
- Industry funded
- Unclear
- Manufacturer
- Novo Nordisk
- Sponsor role
- not reported in abstract
- Author conflicts
- Declarations. Conflicts of interest/competing interests: Christopher Lübker and Niels Lund are employees and shareholders of Novo Nordisk A/S. Andreas Rasche is a member of the Novo Nordisk Sustainability Advisory Council (contract-based). Weiwei Xu, Loveleen Taneja, Anamaria-Vera Olivieri, Suramya Shukla, and Yuvraj Sharma are full-time employees of IQVIA. Matthew Taylor is employed by York Health Economics Consortium which has received funding from Novo Nordisk in the last three years. Ethics approval: This work is based on previously conducted studies and publicly available data sources. It does not involve any original experiments or studies with human or animal subjects. Consent to participate: Not applicable. Consent for publication: Not applicable. Availability of data and material: The data supporting the findings of this study are available on request from the corresponding author. The data are not publicly available because of privacy or ethical restrictions. Code availability: Not applicable. Authors’ contributions: NL: conception and study design, acquisition of data, data collection, data analysis, data interpretation; CL: acquisition of data, data collection, data analysis, data interpretation; AR: data interpretation; MT: data interpretation; WX: conception and study design, acquisition of data, data collection, data analysis, data interpretation; LT: conception and study design, acquisition of data, data collection, data analysis, data interpretation; SS: conc
- Independent replication
- unknown
- Notes
- Authors declare relationships with the drug's manufacturer: Novo Nordisk
Funding is shown on every study and never used to score it.
04Source
The source, as retrieved
Abstract
[OBJECTIVE] We aimed to assess the carbon footprint and clinical outcomes of once-weekly semaglutide in people with overweight or obesity in the UK using a disease modelling approach. [METHODS] A per-patient carbon footprint analysis was conducted to estimate emissions related to obesity management with semaglutide 2.4 mg as an add on to diet and exercise versus diet and exercise alone. A Markov state-transition cohort model (Core Obesity Model) was used for the analysis. Data were sourced from STEP and SELECT trials across three populations: (1) body mass index [BMI] ≥ 30 or ≥ 27 with one or more obesity-related complications (BMI30+/BMI27+C), (2) BMI ≥ 27 with one or more complications, including type 2 diabetes mellitus (BMI27+C), and (3) BMI ≥ 27 with established cardiovascular disease (BMI27+CVD). Carbon emissions were estimated using resource-based and cost-based methods. Key outcomes included life-years, quality-adjusted life-years, and incremental carbon footprint effectiveness ratio. [RESULTS] In the BMI30+/BMI27+C and BMI27+C populations, semaglutide was dominant, yielding 0.30 and 0.25 additional life-years, 0.51 and 0.46 additional quality-adjusted life-years, while reducing lifetime carbon emissions by 1.8% (9850 vs 10,030 kg of CO2 equivalent [CO2e]) and 1.9% (9792 vs 9983 kg CO2e), respectively. Manufacturing emissions of semaglutide were offset by reductions in carbon emissions resulting from fewer obesity-related complications. In the BMI27+CVD population, semaglutide improved life-years by 0.56 and quality-adjusted life-years by 0.59, but emissions increased (14,700 vs 14,444 kg CO2e) because of longer survival and increased monitoring. Scenario and sensitivity analyses confirmed the robustness of the results. [CONCLUSIONS] Semaglutide offers both clinical and environmental benefits in obesity management, supporting the UK's net-zero emissions goals.
Where this record came from
| Source | Retrieved | Identifier |
|---|---|---|
| pubmed | Sep 13, 2026 | 42722807 first ingestion |