Evidence map›Paper›PMID 39309697›Full record

ArticlePreventive medicine reports2024

Factors associated with receiving an obesity diagnosis and obesity-related treatment for patients with obesity class II and III within a single integrated health system.

Raphael Szymanski, Megha Abraham, William Childs, Kristina Le, Christopher Velez, Ivana Vaughn, Lois Lamerato, Katarzyna Budzynska

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Trends in Diagnosing Obesity: The CALOR Study.Obesity (Silver Spring, Md.) · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
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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

8 authors.

Raphael SzymanskiDepartment of Family Medicine, Henry Ford Hospital, Detroit, MI, USA.
Megha AbrahamDepartment of Family Medicine, Henry Ford Hospital, Detroit, MI, USA.
William ChildsDepartment of Family Medicine, Henry Ford Hospital, Detroit, MI, USA.
Kristina LeDepartment of Family Medicine, Henry Ford Hospital, Detroit, MI, USA.
Christopher VelezDepartment of Family Medicine, Henry Ford Hospital, Detroit, MI, USA.
Ivana VaughnDepartment of Public Health Sciences, Henry Ford Health, Detroit, MI, USA.
Lois LameratoDepartment of Public Health Sciences, Henry Ford Health, Detroit, MI, USA.
Katarzyna BudzynskaDepartment of Family Medicine, Henry Ford Hospital, Detroit, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The prevalence and associated adverse effects of obesity on health and healthcare cost make it a primary public health concern. However, individuals with the physiological features of obesity may be underdiagnosed and undertreated. We aimed to determine the prevalence of obesity diagnoses and obesity-related treatments in an integrated health system and determine the factors associated with receiving an obesity diagnosis and treatment for this indication. Methods: This retrospective cross-sectional study of data from the Henry Ford Health electronic health record included adult patients with a body mass index (BMI) indicating clinical evidence of class II and III (severe) obesity in 2017 and who received treatment through 2019. The primary outcome was prevalence of obesity diagnosis and obesity-related treatment. Logistic regression evaluated the patient-level factors associated with odds of having obesity diagnosis and treatment. Results: Among 64,741 patients meeting the clinical definition of definition of severe obesity, only 40.7 % were clinically diagnosed with obesity, and 23.5 % received an obesity-related intervention. Patients with BMI≥40 kg/m Conclusions: Severe obesity may be underdiagnosed in patients who have BMI 35-39.9 kg/m

Indexed as

DiagnosisObesity class II and IIITreatment

Identifiers

PMID39309697
PMCPMC11416652

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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.