Evidence map›Paper›PMID 42890150›Full record

ArticleDiabetes, obesity, and cardiometabolic CARE

Benefits and Costs of Treating Obesity Among Adults in Commercial Insurance Plans.

Timothy M Dall, Fang Chen, Tanvi Sapra, Catherine Ferguson, Samar Hafida, Tia Livingston, Anna Moody, Nuha A ElSayed, Raveendhara R Bannuru

Abstract read
In one paragraph

Article in Diabetes, obesity, and cardiometabolic CARE. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Timothy M DallGlobalData Plc, New York, NY.ORCID https://orcid.org/0000-0001-5106-9401
Fang ChenGlobalData Plc, New York, NY.
Tanvi SapraGlobalData Plc, New York, NY.
Catherine FergusonAmerican Diabetes Association, Arlington, VA.
Samar HafidaAmerican Diabetes Association, Arlington, VA.
Tia LivingstonGlobalData Plc, New York, NY.ORCID https://orcid.org/0009-0009-1765-2391
Anna MoodyGlobalData Plc, New York, NY.
Nuha A ElSayedAmerican Diabetes Association, Arlington, VA.ORCID https://orcid.org/0000-0003-1217-4916
Raveendhara R BannuruAmerican Diabetes Association, Arlington, VA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the clinical, economic, and social benefits and costs of evidence-based obesity treatment among commercially insured adults. RESEARCH DESIGN AND

methodsUsing a Markov-based microsimulation model, we projected 5-year clinical and economic outcomes of intensive lifestyle management, obesity medications, and metabolic/bariatric surgery, drawing on data from clinical trials, national surveys, and economic studies.

resultsThis analysis focused on 47.3 million commercially insured adults with obesity who lacked access to treatment through existing clinical pathways. Over 5 years, cumulative medical savings per person ranged from $2,908 for lifestyle intervention to $2,450-$7,304 for obesity medications and $12,001 for surgery among adults without preexisting diabetes or cardiovascular disease. At the population level, access to treatment would yield 5-year benefits of $9.7 billion in medical savings, $25.8 billion in productivity gains, $38.8 billion in quality-of-life value, and $29.6 billion in mortality-reduction benefits, requiring $44.7 billion in total investment. Combined benefits produced net social value of $59.1 billion, with a $2.35 return per dollar invested and positive returns as early as the second year.

conclusionsObesity treatment generates substantial social benefits through improved health outcomes and productivity gains. Medical and disability cost savings and workplace productivity improvements combined could recover 81% of treatment investment. Employees effectively finance coverage through premiums and reduced wages, and comprehensive benefit design that includes health outcomes and quality-of-life improvements more accurately reflects societal treatment value. Coverage decisions based solely on employer economic returns underestimate the full societal value of expanding coverage. Video 1.Video abstract48ed6990-a68e-4467-8080-ab264925c4c6doci250006video1.

Identifiers

PMID42890150
PMCPMC13672254

What OpenQuestion holds

Textmetadata
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Registered trials

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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.