ReviewDiabetologia2022
Precision prognostics for the development of complications in diabetes.
Review in Diabetologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.
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Who cites it
41 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.
- Predictive value of systemic immune-inflammation index in patients with diabetes mellitus: a systematic review and meta-analysis.Frontiers in endocrinology · 2025Pooled it
- Predictors of time to diabetic retinopathy in patients with type 2 diabetes mellitus: a survival analysis study.BMC ophthalmology · 2026Article
- Predicting acute and chronic diabetes complications among adults newly diagnosed with diabetes: development and validation of dynamic risk prediction models.Nature communications · 2026Article
- Validation of the ST1RE risk engine in Chinese with type 1 diabetes and comparison with the JADE, RECODe, and UKPDS risk scores.Journal of diabetes investigation · 2026Article
- Plasma proteomic signatures of early retinal neurodegeneration in diabetes: A multi-cohort study.PLoS medicine · 2026Observational
- Data-driven subgroups for 3-year risk stratification of incident diabetes and complications in diabetes-free Chinese adults.Chinese medical journal · 2026Article
- Risk stratification in diabetic kidney disease: a review of prediction models for methodological advances and clinical application.Journal of translational medicine · 2026Review
- Article
- The Association Between Amino Acids and the Onset and Progression of Type 2 Diabetes Mellitus: A Comprehensive Analysis Based on UK Biobank Database.Journal of diabetes research · 2026Article
- Inflammation and immune biomarkers: new frontiers in understanding and managing diabetes complications.Inflammopharmacology · 2025Review
- Comparing the predictive performance of diabetes complications using administrative health data and clinical data.Scientific reports · 2025Article
- Development and Validation of DIANA (Diabetes Novel Subgroup Assessment tool): A web-based precision medicine tool to determine type 2 diabetes endotype membership and predict individuals at risk of microvascular disease.PLOS digital health · 2025Article
- Bridging the gap in obesity research: A consensus statement from the European Society for Clinical Investigation.European journal of clinical investigation · 2025Review
- Diabetes-Driven Retinal Neurodegeneration: Its Role in the Pathogenesis of Diabetic Retinopathy.Biomedicines · 2025Review
- Predictive ability of visit-to-visit glucose variability on diabetes complications.BMC medical informatics and decision making · 2025Article
- Effects of Diabetes Mellitus and Glycemic Traits on COPD and Pulmonary Function Traits: Insights From Mendelian Randomization and NHANES.International journal of chronic obstructive pulmonary disease · 2025Article
- Preventing and Managing Vascular Complications in Adolescents With Type 1 Diabetes.Journal of diabetes research · 2025Review
- MAPK8 and HDAC6: potential biomarkers related to autophagy in diabetic retinopathy based on bioinformatics analysis.Frontiers in endocrinology · 2025Article
- Impact of non surgical periodontal therapy on glycemic control in individuals with type 2 diabetes mellitus and periodontitis.Journal of applied oral science : revista FOB · 2025Article
- Artificial Intelligence-Assisted Clinical Decision-Making: A Perspective on Advancing Personalized Precision Medicine for Elderly Diabetes Patients.Journal of multidisciplinary healthcare · 2025Article
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Individuals with diabetes face higher risks for macro- and microvascular complications than their non-diabetic counterparts. The concept of precision medicine in diabetes aims to optimise treatment decisions for individual patients to reduce the risk of major diabetic complications, including cardiovascular outcomes, retinopathy, nephropathy, neuropathy and overall mortality. In this context, prognostic models can be used to estimate an individual's risk for relevant complications based on individual risk profiles. This review aims to place the concept of prediction modelling into the context of precision prognostics. As opposed to identification of diabetes subsets, the development of prediction models, including the selection of predictors based on their longitudinal association with the outcome of interest and their discriminatory ability, allows estimation of an individual's absolute risk of complications. As a consequence, such models provide information about potential patient subgroups and their treatment needs. This review provides insight into the methodological issues specifically related to the development and validation of prediction models for diabetes complications. We summarise existing prediction models for macro- and microvascular complications, commonly included predictors, and examples of available validation studies. The review also discusses the potential of non-classical risk markers and omics-based predictors. Finally, it gives insight into the requirements and challenges related to the clinical applications and implementation of developed predictions models to optimise medical decision making.
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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.