| A Novel Risk Engine for Diabetes-related Complications among Individuals with Type 1 Diabetes | | | Conference Presentation | 2022 | 10.1016/j.jval.2022.04.1637 | DCCT/EDIC | 22982 | Secondary Research |
| An intelligent intervention strategy for patients against chronic complications based on reinforcement learning | | | Journal | 2022 | 10.1016/j.ins.2022.07.080 | DCCT/EDIC | 22616 | Secondary Research |
| Blood glucose derived GMI and HbA1c have similar associations with retinopathy progression: Further analysis of the Diabetes Control and Complications Trial (DCCT) | | | Conference Presentation | 2023 | | DCCT/EDIC | 23632 | Secondary Research |
| Blood glucose derived GMI and HbA1c have similar associations with retinopathy progression: further analysis of the Diabetes Control and Complications Trial (DCCT) | | | Conference Presentation | 2023 | | DCCT/EDIC | 23632 | Secondary Research |
| Changes of insulin resistance status and
development of complications in type 1 diabetes
mellitus: Analysis of DCCT/EDIC study | | | Journal | 2022 | 10.1016/j.diabres.2022.109211 | DCCT/EDIC | 22737 | Secondary Research |
| Development of clinical prediction models for renal and cardiovascular
outcomes and mortality in patients with type 2 diabetes and chronic kidney
disease using time-varying predictors | 35339377 | | Journal | 2022 | 10.1016/j.jdiacomp.2022.108180 | DPP, DPPOS, DCCT/EDIC, CRIC | 21415 | Secondary Research |
| Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro-Fuzzy Inference System | | | Journal | 2021 | 10.1109/ACCESS.2020.3048742 | DCCT/EDIC | 22429 | Secondary Research |
| Generalized Mixed Prediction Chain Model and its Application in Forecasting Chronic Complications | | | Journal | 2022 | 10.1080/01605682.2022.2118630 | DCCT/EDIC | 22616 | Secondary Research |
| Insulin resistance is associated with cognitive decline in type 1
diabetes mellitus | | | Journal | 2022 | 10.1007/s00592-021-01846-z | DCCT/EDIC | 22737 | Secondary Research |
| Joint Multistate Models for Correlated Disease Processes: Extending
Approaches for Interval-Censoring, Mixed Observation Schemes, and
Multiple Longitudinal Outcomes | | | Doctoral Thesis/Dissertation | 2023 | | DCCT/EDIC | 22733 | Secondary Research |
| Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument. | 36673074 | | Journal | 2023 | 10.3390/diagnostics13020264 | DCCT/EDIC | 22429 | Secondary Research |
| Machine learning algorithms for predicting the risk of chronic kidney disease in type 1 diabetes patients: a retrospective longitudinal study | https://link.springer.com/article/10.1007/s00521-024-09959-6 | | Journal | 2024 | https://doi.org/10.1007/s00521-024-09959-6 | DCCT/EDIC | 23866 | Contributing Study |
| Methylglyoxal Adducts Are Prognostic Biomarkers for Diabetic Kidney Disease in Patients With Type 1 Diabetes | 37967313 | PMC10958582 | Journal | 2024 | 10.2337/db23-0277 | DCCT/EDIC | 21632 | Secondary Research |
| Modelling multiple correlated end-organ disease trajectories: a tutorial for multistate and joint models with applications in diabetes complications. | | | Journal | 2024 | 10.1002/sim.9984 | DCCT/EDIC | 22733 | Secondary Research |
| Performance Analysis of Conventional Machine Learning Algorithms for Diabetic
Sensorimotor Polyneuropathy Severity Classification | 33925190 | PMC8146253 | Journal | 2021 | 10.3390/diagnostics11050801 | DCCT/EDIC | 22429 | Secondary Research |
| Performance of the European Kidney Function Consortium (EKFC) creatinine-based equation in American cohorts | 38101514 | | Journal | 2023 | 10.1016/j.kint.2023.11.024 | MDRD, DCCT/EDIC, AASK Trial, PERL, CRISP, ALTOLD, CRIC, AASK Cohort | 23649 | Secondary Research |
| Validation of Time in Range as an
Outcome Measure for Diabetes
Clinical Trials | | | Journal | 2019 | | DCCT/EDIC | 21876 | Secondary Research |
| Variability in benefit from intensive insulin therapy on cardiovascular events in individuals with type 1 diabetes: a post-hoc analysis of the DCCT/EDIC study | | | Journal | 2023 | 10.1111/dme.15183 | DCCT/EDIC | 23476 | Secondary Research |
| ƩexcessA1C index, the sum of yearly excess HbA1c values during the total period of diabetes, may have the potential to predict retinopathy by a linear regression setting regardless of duration in type 1 diabetes: a subgroup analysis of DCCT/EDIC data | 37781457 | PMC10533424 | Journal | 2023 | 10.1007/s13340-023-00654-w | DCCT/EDIC | 22716 | Secondary Research |
