Evidence map›Paper›PMID 42470211›Full record

ArticleObesity (Silver Spring, Md.)2026

Trends in Diagnosing Obesity: The CALOR Study.

Deborah B Horn, Eva Lesén, Christen M Gray, Magnus Bjursell, Hironori Waki

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Deborah B HornCenter for Obesity Medicine and Metabolic Performance, Departments of Medicine and Surgery, UT McGovern Medical School, Houston, Texas, USA.ORCID https://orcid.org/0000-0003-3493-9609
Eva LesénCVRM Evidence Strategy, BioPharmaceuticals Medical, AstraZeneca, Gothenburg, Sweden.
Christen M GrayReal World Data Science, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.
Magnus BjursellCVRM Medical, BioPharmaceuticals Medical, AstraZeneca, Gothenburg, Sweden.
Hironori WakiDepartment of Metabolism and Endocrinology, Akita University Graduate School of Medicine, Akita, Japan.ORCID https://orcid.org/0000-0002-5302-9793

Funding

AstraZeneca
6 · The paper itself

Abstract

objectiveThis study aimed to describe characteristics of people with elevated BMI by presence versus absence of obesity diagnosis and trends over time.

methodsData from adults with recorded BMI ≥ 30 kg/m

resultsIn the United States (N = 3,584,120; 70.1% with obesity diagnosis), prevalence of interrelated diseases was high overall and higher in those with versus without obesity diagnosis, e.g., type 2 diabetes (49.3% vs. 29.9%), chronic kidney disease (32.9% vs. 18.8%), and heart failure (23.3% vs. 9.8%). In Japan (N = 3,140,900; 2.3% with obesity diagnosis), interrelated disease burden was also higher in those with versus without obesity diagnosis, e.g., type 2 diabetes (42.2% vs. 25.9%) and chronic kidney disease (14.3% vs. 8.6%). In the United States, interrelated disease burden was generally higher for those first diagnosed in 2024 versus those diagnosed in 2016-2020.

conclusionsIn people with elevated BMI in the United States and Japan, there was underdiagnosis of obesity and a high prevalence of interrelated diseases.

Indexed as

ObesityAdultAgedBody Mass IndexDiabetes Mellitus, Type 2FemaleHeart FailureHumansJapanMaleMiddle AgedPrevalenceRenal Insufficiency, ChronicUnited Statesburdencomorbiditydiagnosisinterrelated diseaseobesity

Identifiers

PMID42470211
PMCPMC13511393

What OpenQuestion holds

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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.