ArticleJournal of diabetes investigation2022
Visit-to-visit variability in albuminuria predicts renal function deterioration in patients with type 2 diabetes.
Article in Journal of diabetes investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- The effects of ursodeoxycholic acid on albuminuria in people with type 1 diabetes and diabetic kidney disease: a proof-of-concept study.Frontiers in endocrinology · 2026Trial
- Variability and misclassification of albuminuria in patients with type 2 diabetes mellitus.Scientific reports · 2025Article
- Clinical Features and Implications of Albuminuria Trajectories in Type 2 Diabetes: The Fremantle Diabetes Study Phase 2.Journal of the Endocrine Society · 2025Article
- Predict and prevent microvascular complications of type 2 diabetes: a cross-sectional and longitudinal study in Chinese communities.Frontiers in endocrinology · 2025Article
- Article
- Albuminuria: An Underappreciated Risk Factor for Cardiovascular Disease.Journal of the American Heart Association · 2024Review
- Effect of Health Literacy Intervention on Glycemic Control and Renal Function Among Thai Older Adults at Risk of Type 2 Diabetes Mellitus [Letter].Clinical interventions in aging · 2023Article
- Visit-to-visit variability in albuminuria predicts renal function deterioration in patients with type 2 diabetes.Journal of diabetes investigation · 2022Article
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
AIMS/
introductionWe aimed to study the predictive ability of visit-to-visit variability in albuminuria for changes in renal function in patients with type 2 diabetes mellitus. MATERIALS AND
methodsThe cohort study was carried out in a single medical center. In the model development cohort of 1008 subjects, we developed the albuminuria variability score (AVS) to evaluate the visit-to-visit variability in albuminuria, which was the percentage of the number of changes in the urine albumin : creatinine ratio ≥3.39 mg/mmol among all visit-to-visit urine albumin : creatinine ratio differences within an individual. Multivariate logistic regression was applied to predict the influence of AVS levels on the occurrence of study end-points. In another independent validation cohort of 310 participants, survival analysis was carried out to evaluate the ability of AVS in predicting the study end-point.
resultsIn the model development cohort, a higher AVS was associated with higher adjusted odds of having a declined or rapidly declined estimated glomerular filtration rate (eGFR) trajectory (1.84, 95% confidence interval 1.23-2.76 and 5.70, 95% confidence interval 2.28-14.25, respectively), a resultant eGFR <60 mL/min/1.73 m
conclusionsVisit-to-visit variability in albuminuria can independently predict long-term renal function deterioration in patients with type 2 diabetes mellitus. Further investigations are warranted to elucidate the potential clinical applications.
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.