ArticleCMAJ open
Using the Edmonton Obesity Staging System in the real world: a feasibility study based on cross-sectional data.
Article in CMAJ open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Validity of non-traditional measures of obesity compared to total body fat across the life course: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Pooled it
- The NAVETA obesity consensus tool: a multidimensional framework for clinical and patient-reported outcome assessment.Frontiers in endocrinology · 2025Guideline
- Obesity in Adults: A 2022 Adapted Clinical Practice Guideline for Ireland.Obesity facts · 2022Guideline
- Divergent Obesity Classification Between the Edmonton Obesity Staging System and the Lancet Commission Model.Obesity (Silver Spring, Md.) · 2026Article
- Rethinking obesity management targets: Findings from an international MoSCoW prioritization workshop.Obesity pillars · 2026Article
- Obesity Severity and Burden of Illness: Perceptions From Physicians and People With Obesity in the UK.Obesity science & practice · 2026Article
- Rethinking cardiometabolic therapy thresholds in individuals with obesity.International journal of obesity (2005) · 2026Review
- Body mass index and peripheral neuropathy across the glucose tolerance spectrum in Japanese adults.Journal of diabetes investigation · 2026Article
- Association Between Edmonton Obesity Staging System Severity and 90-Day Postoperative Complications After Primary Metabolic and Bariatric Surgery: A Retrospective Cohort Study.Obesity surgery · 2026Article
- Beyond BMI: The Impact of the New Lancet Commission Diagnostic Criteria on Prevalence of Obesity in the United States.Obesity (Silver Spring, Md.) · 2026Article
- Obesity Treatment Pathways and Implementation in Health Systems.Obesity science & practice · 2026Review
- Application and Presentation of the Edmonton Obesity Staging System in a Lifestyle Medicine Clinic: A Cross-Sectional Study.Journal of epidemiology and global health · 2026Article
- Measuring and Managing Obesity in Pregnancy Using the Edmonton Obesity Staging System: A Scoping Review.Clinical obesity · 2026Article
- A Narrative Review of Weight Management Strategies: From Lifestyle Interventions to Emerging Pharmacotherapies.Journal of obesity · 2026Review
- Global trends and inequalities in hypertensive and ischemic heart disease attributable to high body mass index: A systematic analysis from 1990 to 2021 with projections to 2035.American heart journal plus : cardiology research and practice · 2025Article
- The Edmonton Obesity Staging System for Pediatrics (EOSS-P) in Mexican Children and Adolescents Living with Obesity: Beyond BMI Obesity Classes.Children (Basel, Switzerland) · 2025Article
- Clinical Heterogeneity and Transitions of Obesity in Mexico.The Journal of clinical endocrinology and metabolism · 2025Article
- Center Stage: Putting Obesity Staging Systems Into the Spotlight.Preventing chronic disease · 2025Article
- Phenotyping of Obesity Treatment Candidates: A Narrative Review.Current obesity reports · 2024Review
- ANMCO (Italian Association of Hospital Cardiologists) scientific statement: obesity in adults-an approach for cardiologists.Eating and weight disorders : EWD · 2024Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Edmonton Obesity Staging System (EOSS) combined with body mass index (BMI) enables improved functional and prognostic assessment for patients. To facilitate application of the EOSS in practice, we aimed to create tools for capturing comorbidity assessments in electronic medical records and for automating the calculation of a patient's EOSS stage.
methodsIn this feasibility study, we used cross-sectional data to create a clinical dashboard to calculate and display the relation between BMI and EOSS and the prevalence of related comorbidities. We obtained data from the Northern Alberta Primary Care Research Network and the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). We included patients at least 18 years of age with BMI between 30 and 60 who visited a network clinic between July 2016 and July 2019. We calculated descriptive statistics and used stepwise ordinary least squares regression to assess the contributions of age, sex and BMI to EOSS variation.
resultsWe created a clinical dashboard using the CPCSSN data presentation tool. Of the total 31 496 patients included in the study, 23 460 had a BMI of at least 30; BMI was unavailable for 8036 patients. Within each EOSS disease severity stage, there were similar proportions of patients from each BMI class (e.g., patients with EOSS stage 2 included 51.8% of those with BMI class I, 55.3% of those with BMI class II and 58.8% of those with BMI class III).
interpretationUsing data from primary care electronic medical records, it was feasible to create a clinical dashboard for obesity that highlighted the severity and stage of obesity. Making this information easily accessible for individual clinical care and practice-level quality improvement may advance obesity care.
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