{"doi":"10.2337/dc19-1690","title":"Lessons From Continuous Glucose Monitoring in Youth With Pre–Type 1 Diabetes, Obesity, and Cystic Fibrosis","abstract":"Glucose abnormalities exist in the prediabetic state well before a diagnosis of diabetes is made, and continuous glucose monitoring (CGM) is a sensitive method to detect these early abnormalities.Although insufficient data exist to support CGM for diagnosing diabetes, glucose patterns on CGM can provide insight into disease pathophysiology.Our group has used CGM to study early dysglycemia in several populations of youth at risk for diabetesdspecifically, type 1 diabetes (T1D), type 2 diabetes (T2D), and cystic fibrosis-related diabetes (CFRD).We hypothesized that, in youth at risk for different types of diabetes matched by HbA 1c , average sensor glucose would be no different, but specific CGM measures might differ among groups.For this analysis, we combined data from three groups of youth: 1) antibodypositive (Ab 1 ) children from DAISY (Diabetes Autoimmunity Study in the Young) (1), 2) youth with cystic fibrosis (CF) from the Glycemic Monitoring in Cystic Fibrosis Study (NCT02211235, ClinicalTrials.gov),and 3) overweight/ obese youth with BMI $85th percentile at risk for T2D (2).Inclusion criteria were ages 10-18 years and HbA 1c ,6.5% (48 mmol/mol) with concurrent CGM data.Oral glucose tolerance testing","journal":"Diabetes Care","year":2020,"id":85358,"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":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9575,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":96015,"name":"Andrea K. Steck","orcid":"0000-0002-5931-9484","position":1,"is_corresponding":false},{"id":334623,"name":"Cameron Severn","orcid":"0000-0001-9562-581X","position":2,"is_corresponding":false},{"id":254435,"name":"Laura Pyle","orcid":"0000-0001-5577-8221","position":3,"is_corresponding":false},{"id":95828,"name":"Marian Rewers","orcid":"0000-0003-3829-9207","position":4,"is_corresponding":false},{"id":334625,"name":"Philip Zeitler","orcid":"0000-0001-5756-7858","position":5,"is_corresponding":false},{"id":436470,"name":"Christine L. Chan","orcid":"0000-0003-3067-7672","position":0,"is_corresponding":true}],"reference_count":5,"raw_metadata":null,"created_at":"2026-07-18T21:56:02.794896Z","pmid":"31937609","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":[]}