ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024
Prevalence of Obesity-Related Disease in a Danish Population - The Results of an Algorithm-Based Screening Program.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05176132 (South Danish Obesity Initiative), which is not on this map. Cited by 5 papers.
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.
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.
South Danish Obesity Initiative (SDOI)
Who cites it
5 citing papers in PubMed.
- Obesity Associated Disease in People with Mental Disorders: the Role of Psychotropic Medication and BMI.Community mental health journal · 2026Article
- Validity and Reliability of the Danish Version of the Adult Eating Behavior Questionnaire-Results from the South Danish Obesity Initiative.Nutrients · 2025Article
- Disease classification, diagnostic challenges, and evolving clinical trial design in MASLD.The Journal of clinical investigation · 2025Review
- Inter-Session Reliability of Functional Performance and Muscle Power in Adults With Severe Obesity.Scandinavian journal of medicine & science in sports · 2025Observational
- Lifestyle can exert a significant impact on the development of metabolic comorbidities in early-stage colorectal cancer patients.Frontiers in nutrition · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The prevalence of obesity continues to rise. People with obesity are at increased risk of several diseases. We tested an algorithm-based screening program for people with a BMI above 30 kg/m Patients and Methods: Seven hundred and sixty-nine persons with BMI > 30 kg/m Results: Of those referred, 73.0% were women. We identified new diabetes in 4.2%, prediabetes in 9.1%, moderate-to-severe sleep apnea in 25.1%, increased liver fat and increased liver stiffness in 68.1% and 17.4%, respectively, and hypertension or masked hypertension in 19.0%. The prevalence of diseases was much higher among men and increased with BMI. Except for hypertension, we found few participants with undiagnosed disease in the reference group. Conclusion: An algorithm-based screening program is feasible and reveals undiagnosed obesity-related disease in a large proportion of the participants. The disproportional referral pattern calls for a tailored approach aiming to include more men with obesity. Trial Registration: Inclusion of the non-obese group was approved by the Scientific Ethics Committee of The Region of Southern Denmark (project identification number: S-20210091), and the study was reported at clinicaltrials.gov (NCT05176132).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.