ArticleBMC nephrology2020
Renal function deterioration in adult patients with type-2 diabetes.
Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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Who cites it
10 citing papers in PubMed, 24 citations in OpenAlex.
- Global Trends and Projections in Chronic Kidney Disease Burden from Diabetes, Hypertension, and Glomerulonephritis: A Population-Based Study.Kidney & blood pressure research · 2026Article
- Determinants of estimated glomerular filtration rate in patients with type 2 diabetes mellitus: A cross-sectional study.Biomedical reports · 2025Article
- Possible Use of the SUDOSCAN Nephropathy Risk Score in Chronic Kidney Disease Diagnosis: Application in Patients with Type 2 Diabetes.Biosensors · 2025Article
- Spillover effects from a type 2 diabetes integrated model of care in 22,706 Australians: an open cohort stepped wedge trial.BMC endocrine disorders · 2024Article
- Influence of the duration of type 2 diabetes mellitus on colorectal cancer outcomes.Scientific reports · 2023Observational
- Towards a Model of Big Health Care Data Analytics in Panama: Chronic Kidney Disease.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2022Article
- A prediction model for the decline in renal function in people with type 2 diabetes mellitus: study protocol.Diagnostic and prognostic research · 2021Article
- Management of Kidney Failure in Patients with Diabetes Mellitus: What Are the Best Options?Journal of clinical medicine · 2021Review
- Article
- Predicting Chronic Kidney Disease in Type 2 Diabetes Using Natural Language Processing on Healthcare Data.Kidney diseases (Basel, Switzerland)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo explore, in a large group of patients with type-2 diabetes (T2DM), renal function decline in terms of the slope of the estimated glomerular filtration rate (eGFR) over time, and to find out how classical risk factors, such as the presence of hypertension, dyslipidemia and microalbuminuria, affect the renal function.
methodsThe analysis included 32,492 adult T2DM patients from the DIVE/DPV registries who had serial eGFR determinations and information on the presence of microalbuminuria, hypertension and dyslipidemia available.
resultsPatients had a mean age of 66.3 years, 52.6% were male with a mean BMI of 31.7 kg/m
conclusionCKD is highly prevalent in patients with T2DM. Serial surveillance of the glomerular filtration rate is, however, not established in clinical practice, which would be necessary as indicated by a doubling of patients with an eGFR < 30 mL/min/1.73 m
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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 Socratic graph.