GLP-1 Evidence

Not medical advice. A record of published research and our assessments of it. The limits

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

SourceRetrievedIdentifier
pubmedSep 13, 202642722807
first ingestion