ArticleGeroScience2022
Diabetes mellitus correlates with increased biological age as indicated by clinical biomarkers.
Article in GeroScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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
55 citing papers in PubMed.
- The role of gut microbiome in aging-associated diseases: where do we stand now and how technology will transform the future.Gut microbes · 2026Review
- Glycemic status-dependent proteomic signatures of biological aging for health risk prediction.GeroScience · 2026Article
- Biological Aging Mediates the Associations Between Multiple Serum Micronutrients and All-Cause Mortality Among U.S. Adults.Biological trace element research · 2026Article
- Review
- Therapeutic implications of epigenetic alterations in burns: a new frontier in burn medicine.Clinical science (London, England : 1979) · 2026Review
- Article
- Associations of Multiomics Biological Aging With Diabetic Retinopathy and Life Expectancy.Investigative ophthalmology & visual science · 2026Article
- Explainable ensemble machine learning for predicting diabetes mellitus and identifying key risk factors: a population-based study in northern Bangladesh.Scientific reports · 2026Article
- Accelerated biological aging is associated with faster multimorbidity progression: a UK biobank study.GeroScience · 2026Article
- Article
- Factors Associated with Machine Learning-Based Predictions of Retinal Aging Using Teleretinal Screening Images from Patients with Diabetes.Ophthalmology science · 2026Article
- Proteomics-derived organ-specific aging clusters predict macrovascular and microvascular complications in diabetes.Cardiovascular diabetology · 2026Article
- Association of various insulin resistance surrogate indices with aging acceleration and future risk of cardiovascular disease in individuals with cardiovascular-kidney-metabolic syndrome stages 0-3: insights from CHARLS 2011-2020 data.Cardiovascular diabetology · 2026Article
- Biological age acceleration and interaction with genetic predisposition in the risk of type 2 diabetes and coronary artery disease.GeroScience · 2026Article
- The role of biological age in stroke prediction: evidence from CHARLS and machine learning models.BMC neurology · 2026Article
- When Stones Begin: Age of Onset Reveals the Systemic Metabolic Nature of Nephrolithiasis.Research and reports in urology · 2026Article
- Artificial intelligence approaches in biological age prediction: current status and challenges.British journal of biomedical science · 2026Review
- Molecular markers, mechanisms and metrics of biological aging: a scoping review.Frontiers in aging · 2026Review
- Probiotic Modulation in Aging: Strain-Specific Geroprotective Effects inInternational journal of molecular sciences · 2025Article
- Accelerated biological aging mediates the associations of stress hyperglycemia ratio (SHR) with mortality in type 2 diabetes and obesity (diabesity).Cardiovascular diabetology · 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
6 authors.
Funding
Abstract
Chronological age (CA) is determined by time of birth, whereas biological age (BA) is based on changes on a cellular level and strongly correlates with morbidity, mortality, and longevity. Type 2 diabetes (T2D) associates with increased morbidity and mortality; thus, we hypothesized that BA would be increased and calculated it from biomarkers collected at routine clinical visits. Deidentified data was obtained from three cohorts of patients (20-80 years old)-T2D, type 1 diabetes (T1D), and prediabetes-and compared to gender- and age-matched non-diabetics. Eight clinical biomarkers that correlated with CA in people without diabetes were used to calculate BA using the Klemera and Doubal method 1 (KDM1) and multiple linear regression (MLR). The phenotypic age (PhAge) formula was used with its predetermined biomarkers. BA of people with T2D was, on average, 12.02 years higher than people without diabetes (p < 0.0001), while BA in T1D was 16.32 years higher (p < 0.0001). Results were corroborated using MLR and PhAge. The biomarkers with the strongest correlation to increased BA in T2D using KDM were A1c (R
Indexed as
Identifiers
What OpenQuestion holds
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.