ArticleDiabetes, obesity & metabolism2021
Validation of obesity-related diagnosis codes in claims data.
Article in Diabetes, obesity & metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.
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Who cites it
55 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Costs of obesity, obesity-related complications, and weight loss in the United States: A systematic literature review.Journal of managed care & specialty pharmacy · 2025Pooled it
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- Evaluating a large language model for identifying key comorbidities in discharge summaries of patients with obesity: a comparative validation study against ICD codes using MIMIC-IV.International journal of obesity (2005) · 2026Article
- Socioeconomic factors and SGLT2 inhibitor initiation in patients with heart failure-a claims data analysis.Clinical research in cardiology : official journal of the German Cardiac Society · 2026Article
- The Complex Relationship Between Clinical Obesity and Heart Failure: From New Definitions to Clinical Challenges.JACC. Asia · 2026Article
- Trends and Sex-Specific Rates of Obesity and Severe Obesity in US Hospitalized Adults, 2012-2021.Journal of general internal medicine · 2026Article
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- Trends in 1-year persistence and adherence among initiators of high-potency, weight loss-indicated glucagon-like peptide 1 receptor agonists.Journal of managed care & specialty pharmacy · 2026Article
- Glucagon-Like Peptide 1 Receptor Agonists, Sodium-Glucose Cotransporter 2 Inhibitors, and Risk of Autoimmune Rheumatic Diseases.Arthritis & rheumatology (Hoboken, N.J.) · 2026Article
- Cancer Cachexia Prevalence Is Underestimated in Medical Records of Patients in a Regional Tertiary Hospital.Journal of cachexia, sarcopenia and muscle · 2026Article
- Elevated body roundness index and epilepsy prevalence: a cross-sectional study.Scientific reports · 2026Article
- Risk of suicidal ideation and suicidality among adults prescribed semaglutide for weight management: A population-based cohort study.Diabetes, obesity & metabolism · 2025Article
- Understanding the clinical characteristics associated with health care costs and cost savings upon weight reduction in individuals with obesity or overweight.Diabetes, obesity & metabolism · 2025Article
- Healthcare utilisation among low-income individuals affected by violence in Rio de Janeiro, Brazil: a retrospective cohort study.BMC public health · 2025Article
- Contemporary Burden of Cardiovascular Disease in Pregnancy: Insights From a Real-World Pregnancy Electronic Health Record Cohort.Circulation · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
aimTo determine whether body mass index (BMI) can be accurately identified in epidemiological studies using claims databases. MATERIALS AND
methodsUsing the Mass General Brigham Research Patient Data Repository-Medicare-linked database, we identified a cohort of patients with a BMI measurement for the periods January 1 to June 31, 2014 or January 1 to June 31, 2016, to capture both the International Classification of Disease (ICD)-9 and ICD-10 eras. Patients were divided into two groups, with or without an obesity-related ICD code in the 6 months before or after the BMI measurement date. We created two binary measures, first for composite overweight, obesity, or severe obesity (BMI ≥25 kg/m
resultsThe cohort included 73 644 patients with a BMI measurement in 2014 or 2016, of whom 16 280 had an obesity-related ICD code. The specificity of obesity-related ICD codes (ICD-9 and ICD-10) was 99.7% for underweight/normal weight, 97.4% for overweight, 99.7% for obese and 98.9% for severely obese. For binary categories capturing BMI ≥25 kg/m
conclusionObesity-related ICD codes can accurately identify patients with obesity in epidemiological studies using claims databases.
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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 Socratic graph.