Observational studyCardiovascular diabetology2025
Long-term trajectory of estimated glomerular filtration rate in ambulatory patients with type 2 diabetes and heart failure: clinical insights and prognostic implications.
Observational study in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Risk factors for persistent decline in eGFR of Japanese patients with diabetes: Analysis using a large-scale diabetes registry J-DREAMS.Journal of diabetes investigation · 2026Article
- Predictors of One-Year Renal Function Decline in Type 2 Diabetes: Implications for Metabolic Target Management.Journal of clinical medicine · 2026Article
- Associations of activities of daily living and their trajectories with the risk of diabetes-related lower-limb amputation: evidence from the HRS and ELSA longitudinal cohorts.Frontiers in endocrinology · 2026Article
- Diabetes Modifies the Association between Renal Function and Left Ventricular Ejection Fraction in Heart Failure Patients: A Cross-Sectional Study.Research in heart yield and translational medicine · 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
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough previous studies have evaluated renal function decline in patients with heart failure (HF), there is limited evidence on long-term renal trajectories, especially in patients with concomitant HF and type 2 diabetes (T2D). This study aims to provide a detailed analysis of renal function decline over an extended follow-up period in a well-characterized cohort of patients with HF and T2D.
methodsThis is a post hoc subanalysis of a prospective registry involving ambulatory patients with HF and T2D referred to a specialized HF clinic. The estimated glomerular filtration rate (eGFR) was assessed at baseline and during scheduled follow-up visits every three months using the Chronic Kidney Disease Epidemiology Collaboration formula. Loess curves were plotted for predefined subgroups, and multivariable longitudinal Cox regression analyses were performed to evaluate the associations between eGFR trajectories and all-cause mortality.
resultsA total of 1,114 patients with HF and T2D were included, with a mean age of 69.3 ± 10.3 years, and 68.2% were men. In total, 10,830 scheduled creatinine measurements were analysed, with a mean of 15.8 ± 9.4 measurements per patient. A significant progressive decline in the eGFR was observed, with an average annual rate of - 2.05 (95% CI - 2.11 to - 1.95, p < 0.001) ml/min/1.73 m
conclusionsThis study offers novel insights into long-term renal function trajectories in patients with HF and T2D and identifies key clinical factors associated with accelerated renal decline. Future research is warranted to validate these results in larger, more diverse cohorts and to explore potential therapeutic interventions.
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.