ArticleJournal of personalized medicine2021
Risk of Typical Diabetes-Associated Complications in Different Clusters of Diabetic Patients: Analysis of Nine Risk Factors.
Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Determinants of diabetic nephropathy among diabetic patients in Ethiopia: Systematic review and meta-analysis.PloS one · 2024Pooled it
- Cluster-Based Immunization Patterns in Diabetes Mellitus: Insights for Personalized Preventive Care.Journal of personalized medicine · 2025Article
- Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997-2014).Scientific data · 2025Article
- The effectiveness of antioxidant agents in delaying progression of diabetic nephropathy: A systematic review of randomized controlled trials.BioImpacts : BI · 2025Review
- Determinants of poor glycaemic control and proteinuria in patients with type 2 diabetes: a retrospective analysis of general practice records in Ireland.BMC primary care · 2024Article
- Need for improving immunization status and preventive care in diabetes mellitus patients.Wiener klinische Wochenschrift · 2023Article
- Two-year trends from the LANDMARC study: A 3-year, pan-India, prospective, longitudinal study on the management and real-world outcome in patients with type 2 diabetes mellitus.Endocrinology, diabetes & metabolism · 2023Observational
- Self-Amplifying RNA Approach for Protein Replacement Therapy.International journal of molecular sciences · 2022Review
- Personalized Medicine in Epidemics.Journal of personalized medicine · 2022Article
- Insulin as Monotherapy and in Combination with Other Glucose-Lowering Drugs Is Related to Increased Risk of Diagnosis of Pneumonia: A Longitudinal Assessment over Two Years.Journal of personalized medicine · 2021Article
- Using Domain Knowledge and Data-Driven Insights for Patient Similarity Analytics.Journal of personalized medicine · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesDiabetic patients are often diagnosed with several comorbidities. The aim of the present study was to investigate the relationship between different combinations of risk factors and complications in diabetic patients. RESEARCH DESIGN AND
methodsWe used a longitudinal, population-wide dataset of patients with hospital diagnoses and identified all patients (
resultsWe identified five clusters associated with an increased risk of complications. A combined diagnosis of arterial hypertension (aHTN) and dyslipidemia was shared by all clusters and expressed a baseline of increased risk. Additional diagnosis of (1) smoking, (2) depression, (3) liver disease, or (4) obesity made up the other four clusters and further increased the risk of complications. Cluster 9 (aHTN, dyslipidemia and depression) represented diabetic patients at high risk of angina pectoris "AP" (RR: 7.35, CI: 6.74-8.01), kidney disease (RR: 3.18, CI: 3.04-3.32), polyneuropathy (RR: 4.80, CI: 4.23-5.45), and stroke (RR: 4.32, CI: 3.95-4.71), whereas cluster 10 (aHTN, dyslipidemia and smoking) identified patients with the highest risk of AP (RR: 10.10, CI: 9.28-10.98), atherosclerosis (RR: 4.07, CI: 3.84-4.31), and loss of extremities (RR: 4.21, CI: 1.5-11.84) compared to the controls.
conclusionsA comorbidity of aHTN and dyslipidemia was shown to be associated with diabetic complications across all risk-clusters. This effect was amplified by a combination with either depression, smoking, obesity, or non-specific liver disease.
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