Evidence map›Paper›PMID 33511897›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Simulating the Fiscal Impact of Anti-Obesity Medications as an Obesity Reduction Strategy.

Mina Kabiri, Alison Sexton Ward, Abhilasha Ramasamy, Rebecca Kee, Rahul Ganguly, Brian Gabriel Smolarz, Tracy Zvenyach, James R Baumgardner, Dana P Goldman

Open access · goldAbstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Mina KabiriprecisionHEOR, Los Angeles, CA, USA.
Alison Sexton WardprecisionHEOR, Los Angeles, CA, USA.
Abhilasha RamasamyNovo Nordisk Inc., Plainsboro, NJ, USA.
Rebecca KeeprecisionHEOR, Los Angeles, CA, USA.ORCID 0000-0003-0807-8374
Rahul GangulyNovo Nordisk Inc., Plainsboro, NJ, USA.
Brian Gabriel SmolarzNovo Nordisk Inc., Plainsboro, NJ, USA.ORCID 0000-0002-8591-3858
Tracy ZvenyachNovo Nordisk Inc., Plainsboro, NJ, USA.
James R BaumgardnerprecisionHEOR, Los Angeles, CA, USA.
Dana P GoldmanUniversity of Southern California, Los Angeles, CA, USA.
Novo Nordisk (United States) · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While substantial public health investment in anti-smoking initiatives has had demonstrated benefits on health and fiscal outcomes, similar investment in reducing obesity has not been undertaken, despite the substantial burden obesity places on society. Anti-obesity medications (AOMs) are poorly prescribed despite evidence that weight loss is not sustained using other strategies alone.We used a simulation model to estimate the potential impact of 100% uptake of AOMs on Medicare and Medicaid spending, disability payments, and taxes collected relative to status quo with negligible AOM use. Relative to status quo, AOM use simulation would result in Medicare and Medicaid savings of $231.5 billion and $188.8 billion respectively over 75 years. Government tax revenues would increase by $452.8 billion. Overall, the net benefit would be $746.6 billion. Anti-smoking efforts have had substantial benefits for society. A similar investment in obesity reduction, including broad use of AOMs, should be considered.

Indexed as

MedicareTaxesAgedHumansIncomeObesityPublic HealthUnited Statesanti-obesity agentseconomic modelinghealth policyMedicaidMedicaremicrosimulationobesitypublic healthweight loss

Identifiers

PMID33511897
PMCPMC7970686
OpenAlexW3121663707

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.