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Study · In silico · 2025

12 results

Cost-effectiveness of semaglutide in people with obesity and cardiovascular disease without diabetes.

McEwan P, Bøg M, Faurby M, Foos V, Lingvay I, Lübker C, Miller R, Toliver JC, Yeates F, Lincoff AM

Journal of medical economics12 Feb 2025Cited by 14 (Europe PMC)

Summary

The text of this summary is not shown here, because the article license does not allow reuse. Read it at the source (opens in a new tab)

Text rights: CC BY-NC-ND. Results still quote short attributed sentences.

Results from this study12

12 results from studies that gave the peptide. No result from this study comes from people.

  1. 01Computer modelIn silicoEfficacy outcome

    In a model of adults with overweight or obesity and cardiovascular disease, semaglutide 2.4 mg avoided 2,791 non-fatal myocardial infarctions per 100,000 subjects.

    In plain wordsIn a computer model, semaglutide 2.4 mg avoided heart attacks in a simulated group with obesity and heart disease, compared with placebo.

    Outcome
    DecreaseNon-fatal myocardial infarctions avoided (modelled)
    Study

    n = 100,000

    Markov-state cost-effectiveness model
    Comparator
    Placebo
    Outcome group
    Cardiovascular events · Cardiovascular
    Studied dose
    2.4 mg · 2.79 yearsAs given in this study.

    Measurements

    Non-fatal MI avoided
    2791 per 100,000 subjects
    lifetime

    Source sentences

    Summary
    Per 100,000 subjects, treatment avoided 2,791 non-fatal myocardial infarctions, 3,000 coronary revascularizations, 487 non-fatal strokes, and 115 CV deaths over the modeled lifetime horizon.
    2 context sentences
    Summary · context
    A cohort-level Markov-state cost-effectiveness model using trial-derived data with outcomes from a healthcare sector perspective measured over a lifetime horizon was developed.
    Summary · context
    A simulated cohort of 100,000 subjects was aligned to the SELECT trial population baseline characteristics and time-on-treatment.
  2. 02Computer modelIn silicoEfficacy outcome

    In a model of adults with overweight or obesity and cardiovascular disease, semaglutide 2.4 mg avoided 3,000 coronary revascularizations per 100,000 subjects.

    In plain wordsIn a computer model, semaglutide 2.4 mg avoided heart procedures in a simulated group with obesity and heart disease, compared with placebo.

    Outcome
    DecreaseCoronary revascularizations avoided (modelled)
    Study

    n = 100,000

    Markov-state cost-effectiveness model
    Comparator
    Placebo
    Outcome group
    Cardiovascular events · Cardiovascular
    Studied dose
    2.4 mg · 2.79 yearsAs given in this study.

    Measurements

    Coronary revascularizations avoided
    3000 per 100,000 subjects
    lifetime

    Source sentences

    Summary
    Per 100,000 subjects, treatment avoided 2,791 non-fatal myocardial infarctions, 3,000 coronary revascularizations, 487 non-fatal strokes, and 115 CV deaths over the modeled lifetime horizon.
    2 context sentences
    Summary · context
    A cohort-level Markov-state cost-effectiveness model using trial-derived data with outcomes from a healthcare sector perspective measured over a lifetime horizon was developed.
    Summary · context
    A simulated cohort of 100,000 subjects was aligned to the SELECT trial population baseline characteristics and time-on-treatment.
  3. 03Computer modelIn silicoEfficacy outcome

    In a model of adults with overweight or obesity and cardiovascular disease, semaglutide 2.4 mg avoided 487 non-fatal strokes per 100,000 subjects.

    In plain wordsIn a computer model, semaglutide 2.4 mg avoided strokes in a simulated group with obesity and heart disease, compared with placebo.

    Outcome
    DecreaseNon-fatal strokes avoided (modelled)
    Study

    n = 100,000

    Markov-state cost-effectiveness model
    Comparator
    Placebo
    Outcome group
    Cardiovascular events · Cardiovascular
    Studied dose
    2.4 mg · 2.79 yearsAs given in this study.

    Measurements

    Non-fatal strokes avoided
    487 per 100,000 subjects
    lifetime

    Source sentences

    Summary
    Per 100,000 subjects, treatment avoided 2,791 non-fatal myocardial infarctions, 3,000 coronary revascularizations, 487 non-fatal strokes, and 115 CV deaths over the modeled lifetime horizon.
    2 context sentences
    Summary · context
    A cohort-level Markov-state cost-effectiveness model using trial-derived data with outcomes from a healthcare sector perspective measured over a lifetime horizon was developed.
    Summary · context
    A simulated cohort of 100,000 subjects was aligned to the SELECT trial population baseline characteristics and time-on-treatment.
  4. 04Computer modelIn silicoEfficacy outcome

    In a model of adults with overweight or obesity and cardiovascular disease, semaglutide 2.4 mg avoided 115 cardiovascular deaths per 100,000 subjects.

    In plain wordsIn a computer model, semaglutide 2.4 mg avoided heart-related deaths in a simulated group with obesity and heart disease, compared with placebo.

    Outcome
    DecreaseCardiovascular deaths avoided (modelled)
    Study

    n = 100,000

    Markov-state cost-effectiveness model
    Comparator
    Placebo
    Outcome group
    Mortality · Cardiovascular
    Studied dose
    2.4 mg · 2.79 yearsAs given in this study.

    Measurements

    CV deaths avoided
    115 per 100,000 subjects
    lifetime

    Source sentences

    Summary
    Per 100,000 subjects, treatment avoided 2,791 non-fatal myocardial infarctions, 3,000 coronary revascularizations, 487 non-fatal strokes, and 115 CV deaths over the modeled lifetime horizon.
    2 context sentences
    Summary · context
    A cohort-level Markov-state cost-effectiveness model using trial-derived data with outcomes from a healthcare sector perspective measured over a lifetime horizon was developed.
    Summary · context
    A simulated cohort of 100,000 subjects was aligned to the SELECT trial population baseline characteristics and time-on-treatment.
  5. 05Computer modelIn silicoOther

    In the model, average lifetime treatment costs with semaglutide 2.4 mg were $47,353 per subject.

    In plain wordsIn the model, semaglutide 2.4 mg treatment cost about $47,353 per person over a lifetime.

    Outcome
    Not applicableAverage lifetime treatment cost per subject
    Study

    n = 100,000

    Markov-state cost-effectiveness model
    Comparator
    Placebo
    Outcome group
    Cost-effectiveness · Whole body
    Studied dose
    2.4 mg · 2.79 yearsAs given in this study.

    Measurements

    Lifetime treatment cost
    47,353 USD
    per subject

    Source sentences

    Summary
    Average per-subject lifetime treatment costs were $47,353
    2 context sentences
    Summary · context
    A cohort-level Markov-state cost-effectiveness model using trial-derived data with outcomes from a healthcare sector perspective measured over a lifetime horizon was developed.
    Summary · context
    A simulated cohort of 100,000 subjects was aligned to the SELECT trial population baseline characteristics and time-on-treatment.
  6. 06Computer modelIn silicoOther

    In the model, avoided type 2 diabetes saved $14,431 per subject.

    In plain wordsIn the model, preventing type 2 diabetes with semaglutide saved about $14,431 per person.

    Outcome
    Not applicableSavings from avoided type 2 diabetes
    Study

    n = 100,000

    Markov-state cost-effectiveness model
    Comparator
    Placebo
    Outcome group
    Cost-effectiveness · Whole body
    Studied dose
    2.4 mg · 2.79 yearsAs given in this study.

    Measurements

    Savings from avoided T2D
    14,431 USD
    per subject

    Source sentences

    Summary
    savings arose from avoided T2D ($14,431)
    2 context sentences
    Summary · context
    A cohort-level Markov-state cost-effectiveness model using trial-derived data with outcomes from a healthcare sector perspective measured over a lifetime horizon was developed.
    Summary · context
    A simulated cohort of 100,000 subjects was aligned to the SELECT trial population baseline characteristics and time-on-treatment.
  7. 07Computer modelIn silicoOther

    In the model, avoided chronic kidney disease saved $2,074 per subject.

    In plain wordsIn the model, preventing kidney disease with semaglutide saved about $2,074 per person.

    Outcome
    Not applicableSavings from avoided chronic kidney disease
    Study

    n = 100,000

    Markov-state cost-effectiveness model
    Comparator
    Placebo
    Outcome group
    Cost-effectiveness · Whole body
    Studied dose
    2.4 mg · 2.79 yearsAs given in this study.

    Measurements

    Savings from avoided CKD
    2074 USD
    per subject

    Source sentences

    Summary
    CKD ($2,074)
    2 context sentences
    Summary · context
    A cohort-level Markov-state cost-effectiveness model using trial-derived data with outcomes from a healthcare sector perspective measured over a lifetime horizon was developed.
    Summary · context
    A simulated cohort of 100,000 subjects was aligned to the SELECT trial population baseline characteristics and time-on-treatment.
  8. 08Computer modelIn silicoOther

    In the model, avoided cardiovascular events saved $1,512 per subject.

    In plain wordsIn the model, preventing heart events with semaglutide saved about $1,512 per person.

    Outcome
    Not applicableSavings from avoided cardiovascular events
    Study

    n = 100,000

    Markov-state cost-effectiveness model
    Comparator
    Placebo
    Outcome group
    Cost-effectiveness · Whole body
    Studied dose
    2.4 mg · 2.79 yearsAs given in this study.

    Measurements

    Savings from avoided CV events
    1512 USD
    per subject

    Source sentences

    Summary
    CV events ($1,512)
    2 context sentences
    Summary · context
    A cohort-level Markov-state cost-effectiveness model using trial-derived data with outcomes from a healthcare sector perspective measured over a lifetime horizon was developed.
    Summary · context
    A simulated cohort of 100,000 subjects was aligned to the SELECT trial population baseline characteristics and time-on-treatment.
  9. 09Computer modelIn silicoOther

    In the model, semaglutide 2.4 mg was associated with increased lifetime costs of $29,767.

    In plain wordsIn the model, semaglutide 2.4 mg raised lifetime costs by about $29,767 per person.

    Outcome
    IncreaseIncremental lifetime costs
    Study

    n = 100,000

    Markov-state cost-effectiveness model
    Comparator
    Placebo
    Outcome group
    Cost-effectiveness · Whole body
    Studied dose
    2.4 mg · 2.79 yearsAs given in this study.

    Measurements

    Incremental lifetime cost
    29,767 USD
    per subject

    Source sentences

    Summary
    Semaglutide 2.4 mg was associated with increased lifetime costs ($29,767)
    2 context sentences
    Summary · context
    A cohort-level Markov-state cost-effectiveness model using trial-derived data with outcomes from a healthcare sector perspective measured over a lifetime horizon was developed.
    Summary · context
    A simulated cohort of 100,000 subjects was aligned to the SELECT trial population baseline characteristics and time-on-treatment.
  10. 10Computer modelIn silicoOther

    In the model, semaglutide 2.4 mg gave 0.218 additional QALYs.

    In plain wordsIn the model, semaglutide 2.4 mg added about 0.218 years of good-quality life per person.

    Outcome
    IncreaseQuality-adjusted life years gained
    Study

    n = 100,000

    Markov-state cost-effectiveness model
    Comparator
    Placebo
    Outcome group
    Cost-effectiveness · Whole body
    Studied dose
    2.4 mg · 2.79 yearsAs given in this study.

    Measurements

    QALYs gained
    0.218 QALY
    per subject

    Source sentences

    Summary
    additional QALYs gained (0.218)
    2 context sentences
    Summary · context
    A cohort-level Markov-state cost-effectiveness model using trial-derived data with outcomes from a healthcare sector perspective measured over a lifetime horizon was developed.
    Summary · context
    A simulated cohort of 100,000 subjects was aligned to the SELECT trial population baseline characteristics and time-on-treatment.
  11. 11Computer modelIn silicoOther

    In the model, the incremental cost-effectiveness ratio of semaglutide 2.4 mg was $136,271 per QALY at list price.

    In plain wordsIn the model, semaglutide 2.4 mg cost about $136,271 for each year of good-quality life gained at list price.

    Outcome
    Not applicableIncremental cost-effectiveness ratio at list price
    Study

    n = 100,000

    Markov-state cost-effectiveness model
    Comparator
    Placebo
    Outcome group
    Cost-effectiveness · Whole body
    Studied dose
    2.4 mg · 2.79 yearsAs given in this study.

    Measurements

    ICER
    136,271 USD/QALY
    list price

    Source sentences

    Summary
    an incremental cost-effectiveness ratio of $136,271/QALY at list price
    2 context sentences
    Summary · context
    A cohort-level Markov-state cost-effectiveness model using trial-derived data with outcomes from a healthcare sector perspective measured over a lifetime horizon was developed.
    Summary · context
    A simulated cohort of 100,000 subjects was aligned to the SELECT trial population baseline characteristics and time-on-treatment.
  12. 12Computer modelIn silicoOther

    In a model scenario with an estimated 48% rebate, the incremental cost-effectiveness ratio was $32,219 per QALY.

    In plain wordsIn a model scenario with a 48% rebate, semaglutide 2.4 mg cost about $32,219 for each year of good-quality life gained.

    Outcome
    Not applicableIncremental cost-effectiveness ratio with 48% rebate
    Study

    n = 100,000

    Markov-state cost-effectiveness model
    Comparator
    Placebo
    Outcome group
    Cost-effectiveness · Whole body
    Studied dose
    2.4 mg · 2.79 yearsAs given in this study.

    Measurements

    ICER
    32,219 USD/QALY
    48% rebate scenario

    Source sentences

    Summary
    a scenario using an empirically estimated 48% rebate predicted $32,219/QALY.
    2 context sentences
    Summary · context
    A cohort-level Markov-state cost-effectiveness model using trial-derived data with outcomes from a healthcare sector perspective measured over a lifetime horizon was developed.
    Summary · context
    A simulated cohort of 100,000 subjects was aligned to the SELECT trial population baseline characteristics and time-on-treatment.

AI wrote and checked these results. AI can make mistakes, so check important results against the source.

Registered trials1

Trials this study reports on, or that list this study as a reference. Registry data from ClinicalTrials.gov.

1 trial · 1 completed · 1 with posted results · source ClinicalTrials.gov (opens in a new tab)

CompletedPhase 3Results postedNCT03574597

Semaglutide Effects on Heart Disease and Stroke in Patients With Overweight or Obesity

Novo Nordisk A/Sn = 17,60424 Oct 2018 to 29 Jun 2023

Overweight · Obesity

Trial pageClinicalTrials.govUpdated 30 Aug 2024

Version history

PepBank keeps every version of the data on this study. Status changes from Retraction Watch, Europe PMC and Crossref are listed with their source.

  1. Version 2Current

    11 Oct 2026, 00:04 UTC

    Study results updated

  2. Version 1

    9 Oct 2026, 03:06 UTC

    First added · source update from Europe PMC

Subjects

Terms as the source lists them.

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