Observational studyMedical care2017
Trajectories of Glycemic Change in a National Cohort of Adults With Previously Controlled Type 2 Diabetes.
Observational study in Medical care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- Article
- Intersection of Gender-Race/Color and Glycemic Control in Diabetes in Nine Years of Follow-up of the ELSA-Brazil Cohort.Journal of racial and ethnic health disparities · 2025Article
- Longitudinal trajectories of glycemic control among U.S. Adults with newly diagnosed diabetes.Diabetes research and clinical practice · 2023Article
- Machine Learning Models for Predicting Adverse Pregnancy Outcomes in Pregnant Women with Systemic Lupus Erythematosus.Diagnostics (Basel, Switzerland) · 2023Article
- Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer's disease.Nature communications · 2022Article
- The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations.Journal of medical Internet research · 2021Review
- Clinical Inertia and 2-Year Glycaemic Trajectories in Patients with Non-Newly Diagnosed Type 2 Diabetes Mellitus in Primary Care: A Retrospective Cohort Study.Patient preference and adherence · 2021Article
- Article
- Longitudinal changes in glycated haemoglobin following treatment intensification after inadequate response to two oral antidiabetic agents in patients with type 2 diabetes.Diabetes, obesity & metabolism · 2019Observational
- Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c.Journal of biomedical informatics · 2019Article
- Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.Journal of medical Internet research · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundIndividualized diabetes management would benefit from prospectively identifying well-controlled patients at risk of losing glycemic control.
objectivesTo identify patterns of hemoglobin A1c (HbA1c) change among patients with stable controlled diabetes. RESEARCH
designCohort study using OptumLabs Data Warehouse, 2001-2013. We develop and apply a machine learning framework that uses a Bayesian estimation of the mixture of generalized linear mixed effect models to discover glycemic trajectories, and a random forest feature contribution method to identify patient characteristics predictive of their future glycemic trajectories. SUBJECTS: The study cohort consisted of 27,005 US adults with type 2 diabetes, age 18 years and older, and stable index HbA1c <7.0%. MEASURES: HbA1c values during 24 months of observation.
resultsWe compared models with k=1, 2, 3, 4, 5 trajectories and baseline variables including patient age, sex, race/ethnicity, comorbidities, medications, and HbA1c. The k=3 model had the best fit, reflecting 3 distinct trajectories of glycemic change: (T1) rapidly deteriorating HbA1c among 302 (1.1%) youngest (mean, 55.2 y) patients with lowest mean baseline HbA1c, 6.05%; (T2) gradually deteriorating HbA1c among 902 (3.3%) patients (mean, 56.5 y) with highest mean baseline HbA1c, 6.53%; and (T3) stable glycemic control among 25,800 (95.5%) oldest (mean, 58.5 y) patients with mean baseline HbA1c 6.21%. After 24 months, HbA1c rose to 8.75% in T1 and 8.40% in T2, but remained stable at 6.56% in T3.
conclusionsPatients with controlled type 2 diabetes follow 3 distinct trajectories of glycemic control. This novel application of advanced analytic methods can facilitate individualized and population diabetes care by proactively identifying high risk patients.
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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 OpenQuestion graph.