ArticleDiabetes care2020
The Probability of A1C Goal Attainment in Patients With Uncontrolled Type 2 Diabetes in a Large Integrated Delivery System: A Prediction Model.
Article in Diabetes care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- BEYOND 2 years: durability of metabolic benefits by simplification of complex insulin regimens in type 2 diabetes.Endocrine · 2024Trial
- The state of diabetes care and obstacles to better care in Aceh, Indonesia: a mixed-methods study.BMC health services research · 2023Trial
- Use of Fixed Ratio Combinations to Improve Glycemic Control in Individuals with Type 2 Diabetes: Experts' Opinion from the Gulf Region.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026Review
- Pathway insights and predictive modeling for type 2 diabetes using polygenic risk scores.Scientific reports · 2025Article
- Impact of pharmacist-physician collaborative care on hemoglobin A1c and blood pressure quality measure achievement in primary care.Journal of managed care & specialty pharmacy · 2025Article
- Long-Term Effectiveness of Once-Weekly Semaglutide in Patients With Type 2 Diabetes Previously Treated With Insulin. A Multicentre Real-World Study.Diabetes/metabolism research and reviews · 2025Observational
- Applications of AI in Predicting Drug Responses for Type 2 Diabetes.JMIR diabetes · 2025Article
- Interpretable machine learning-derived nomogram model for early detection of persistent diarrhea in Salmonella typhimurium enteritis: a propensity score matching based case-control study.BMC infectious diseases · 2025Article
- Article
- Heterogeneous treatment effects of sodium-glucose cotransporter 2 inhibitors on risk of dementia in people with type 2 diabetes: A population-based cohort study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- A machine learning model to predict therapeutic inertia in type 2 diabetes using electronic health record data.Journal of endocrinological investigation · 2024Article
- Proactive Identification of Patients with Diabetes at Risk of Uncontrolled Outcomes during a Diabetes Management Program: Conceptualization and Development Study Using Machine Learning.JMIR formative research · 2024Article
- Treatment approaches and costs associated with diabetes clinical metrics as measured by Healthcare Effectiveness Data and Information Set (HEDIS).BMC health services research · 2024Article
- Predictors of lack of glycemic control in persons with type 2 diabetes.Clinical diabetes and endocrinology · 2024Article
- Prognostic nomogram for uncontrolled type 2 diabetes using Thailand nation-wide cross-sectional studies.PloS one · 2024Article
- Article
- Effectiveness of artificial intelligence screening in preventing vision loss from diabetes: a policy model.NPJ digital medicine · 2023Review
- Tirzepatide for the treatment of adults with type 2 diabetes: An endocrine perspective.Diabetes, obesity & metabolism · 2023Review
- Medication use and contextual factors associated with meeting guideline-based glycemic levels in diabetes among a nationally representative sample.Frontiers in medicine · 2023Article
- Expert Panel Guidance and Narrative Review of Treatment Simplification of Complex Insulin Regimens to Improve Outcomes in Type 2 Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2022Review
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13 authors.
Funding
Abstract
objectiveTo assess patient characteristics and treatment factors associated with uncontrolled type 2 diabetes (T2D) and the probability of hemoglobin A RESEARCH DESIGN AND
methodsThis was a retrospective cohort study using the electronic health record at Cleveland Clinic. Patients with uncontrolled T2D (A1C >9%) were identified on the index date of 31 December 2016 (
resultsFor the entire population, median age at index date was 57.7 years (53.3% male), and the majority were white (67.2%). Median A1C was 10.2%. Obesity (50.6%), cardiovascular disease (46.9%), and psychiatric disease (61.1%) were the most common comorbidities. Metformin (62.7%) and sulfonylureas (38.7%) were the most common antidiabetes medications. Only 1,653 (23.7%) patients achieved an A1C <8%. Predictors of increased probability of A1C goal attainment were older age, white/non-Hispanic race/ethnicity, Medicare health insurance, lower baseline A1C, higher frequency of endocrinology/primary care visits, dipeptidyl peptidase 4 inhibitor use, thiazolidinedione use, metformin use, glucagon-like peptide 1 receptor agonist use, and fewer classes of antidiabetes drugs. Factors associated with lower probability included insulin use and longer time in the T2D database (both presumed as likely surrogates for duration of T2D).
conclusionsA minority of patients with an A1C >9% achieved an A1C <8% at 1 year. While most identified predictive factors are nonmodifiable by the clinician, pursuit of frequent patient engagement and tailored drug regimens may help to improve A1C goal attainment.
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