{"doi":"10.1002/oby.70070","title":"Application of the Lancet Commission Criteria for the Diagnosis of Obesity to a Clinical Trials Population: The <scp>LEAP</scp> Trial","abstract":"OBJECTIVE: This study aimed to apply The Lancet Diabetes & Endocrinology criteria for diagnosing obesity among clinical trial participants and understand participants' characteristics by obesity status. METHODS: The criteria were operationalized and applied to baseline data from the Long-term Effectiveness of the Anti-obesity medication Phentermine (LEAP) trial (NCT05176626). Excess adiposity, organ and tissue dysfunction, and limitations to daily activities were assessed. We examined differences between participants with \"no obesity,\" \"pre-clinical obesity,\" and \"clinical obesity.\" RESULTS: [SD 4.3]). Participants with no/pre-clinical obesity had lower mean SF-12 mental component scores and greater baseline engagement with weight control strategies compared to those with clinical obesity. Participants with clinical obesity were older and, by definition, had a greater burden of cardiometabolic risk factors. CONCLUSIONS: Among clinical trial participants eligible for obesity pharmacotherapy, 19.5% were classified as having no/pre-clinical obesity using the Lancet criteria. Applying the criteria was complicated in a well-resourced trial setting, which suggests potential challenges in implementing these guidelines in real-world practice.","journal":"Obesity","year":2025,"id":527327,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.5193,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1404004,"name":"Kathleen Ruddiman","orcid":"0009-0005-5721-1874","position":1,"is_corresponding":false},{"id":708780,"name":"Courtney Simmons","orcid":"0000-0002-3613-2377","position":2,"is_corresponding":false},{"id":1404005,"name":"Brian N. White","orcid":"0009-0008-9742-9191","position":3,"is_corresponding":false},{"id":329407,"name":"Byron C. Jaeger","orcid":"0000-0001-7399-2299","position":4,"is_corresponding":false},{"id":295974,"name":"Nicholas M. Pajewski","orcid":"0000-0002-4447-6196","position":5,"is_corresponding":false},{"id":918482,"name":"Stephanie Ann Hooker","orcid":"0000-0003-4222-7046","position":6,"is_corresponding":false},{"id":1404006,"name":"Deborah B. Horn","orcid":"0000-0003-3493-9609","position":7,"is_corresponding":false},{"id":1404007,"name":"Katy W. Martin‐Fernandez","orcid":"0000-0002-1879-3091","position":8,"is_corresponding":false},{"id":390791,"name":"Kimberly A. Gudzune","orcid":"0000-0002-7782-1769","position":9,"is_corresponding":false},{"id":1090134,"name":"Caroline Blackwell Young","orcid":null,"position":10,"is_corresponding":false},{"id":74898,"name":"Jamy D. Ard","orcid":"0000-0002-1643-6795","position":11,"is_corresponding":false},{"id":453175,"name":"Kristina H. Lewis","orcid":"0000-0002-4921-7230","position":12,"is_corresponding":false},{"id":1073994,"name":"Faith Anne N. Heeren","orcid":"0000-0002-6819-8258","position":0,"is_corresponding":true}],"reference_count":20,"raw_metadata":null,"created_at":"2026-07-19T02:50:39.280101Z","pmid":"41145317","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}