ArticleDiabetes care2014
The diabetes control and complications trial/epidemiology of diabetes interventions and complications study at 30 years: summary and future directions.
Article in Diabetes care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
47 citing papers in PubMed, 5 syntheses or guidelines pooled it, 128 citations in OpenAlex.
- Renal, cardiovascular, and safety outcomes of adding sodium-glucose cotransporter-2 inhibitors to insulin therapy in patients with type-2 diabetes: a meta-analysis.International urology and nephrology · 2024Pooled it
- The efficacy of dapagliflozin for type 1 diabetes: a meta-analysis of randomized controlled studies.African health sciences · 2021Pooled it
- Insulin and glucose-lowering agents for treating people with diabetes and chronic kidney disease.The Cochrane database of systematic reviews · 2018Pooled it
- Glucose targets for preventing diabetic kidney disease and its progression.The Cochrane database of systematic reviews · 2017Pooled it
- Effects of Omega-3 Fatty Acid Supplementation on Glucose Control and Lipid Levels in Type 2 Diabetes: A Meta-Analysis.PloS one · 2015Pooled it
- Premeal insulin decreases arterial stiffness in children with type 1 diabetes.Pediatric diabetes · 2017Trial
- [Prognostic significance of dynamic evaluation of C-peptide level in prediction type 1 diabetes mellitus in children].Problemy endokrinologii · 2026Article
- Insight into the Hypoglycemic Effects ofPlants (Basel, Switzerland) · 2026Article
- Phase angle and body composition in long-term type 1 diabetes in adults: a comparative study in a Brazilian public reference outpatient clinic.Diabetology & metabolic syndrome · 2024Article
- Glycemic control and study of lipid and bone metabolism in type 1 diabetic childrenBiomedica : revista del Instituto Nacional de Salud · 2024Article
- Article
- Simultaneous attenuation of hyperglycemic memory-induced retinal, pulmonary, and glomerular dysfunctions by proinsulin C-peptide in diabetes.BMC medicine · 2023Article
- Article
- Brain Structure Among Middle-aged and Older Adults With Long-standing Type 1 Diabetes in the DCCT/EDIC Study.Diabetes care · 2022Article
- Association of metabolic dysfunction-associated fatty liver disease, type 2 diabetes mellitus, and metabolic goal achievement with risk of chronic kidney disease.Frontiers in public health · 2022Article
- Effect ofMetabolites · 2021Article
- The SAGE study: Global observational analysis of glycaemic control, hypoglycaemia and diabetes management in T1DM.Diabetes/metabolism research and reviews · 2021Article
- Report from the 36th Annual Meeting of the Korean Society of Gynecologic Oncology (KSGO).Journal of gynecologic oncology · 2021Article
- Pancreatic islet reserve in type 1 diabetes.Annals of the New York Academy of Sciences · 2021Review
- Cost-effectiveness of home versus hospital management of children at onset of type 1 diabetes: the DECIDE randomised controlled trial.BMJ open · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
OBJECTIVE The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study continues to address knowledge gaps in our understanding of type 1 diabetes and the effects of intensive therapy on its long-term complications. RESEARCH DESIGN AND METHODS During the DCCT (1982-1993), a controlled clinical trial of 1,441 subjects with type 1 diabetes, and the EDIC (1994-present), an observational study of the DCCT cohort, core data collection has included medical history questionnaires, surveillance health exams, and frequent laboratory and other evaluations for microvascular and macrovascular disease. Numerous collaborations have expanded the outcome data with more detailed investigations of cardiovascular disease, cognitive function, neuropathy, genetics, and potential biological pathways involved in the development of complications. RESULTS The longitudinal follow-up of the DCCT/EDIC cohort provides the opportunity to continue monitoring the durability of intensive treatment as well as to address lingering questions in type 1 diabetes research. Future planned analyses will address the onset and progression of microvascular triopathy, evidence-based screening for retinopathy and nephropathy, effects of glycemic variability and nonglycemic risk factors on outcomes, long-term impact of intensive therapy on cognitive decline, and health economics. Three new proposed investigations include an examination of residual C-peptide secretion and its impact, prevalence of hearing impairment, and evaluation of gastrointestinal dysfunction. CONCLUSIONS With the comprehensive data collection and the remarkable participant retention over 30 years, the DCCT/EDIC continues as an irreplaceable resource for understanding type 1 diabetes and its long-term complications.
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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.