ArticleBMC nephrology2025
Investigating the patterns of renal function variability in early-stage chronic kidney disease by cluster analysis.
Article in BMC nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChronic kidney disease (CKD) is a significant global health concern, with increasing focus on predicting renal prognosis. While renal prognosis is often studied in advanced CKD, variability in renal function and its implications for long-term outcomes in early-stage CKD remain insufficiently examined. This study aimed to investigate renal prognosis in early-stage CKD within the general population, focusing on patterns of renal function variability and factors associated with high variability.
methodsThis retrospective nationwide cohort study included participants from various geographical regions across Japan. A total of 1,765 adults with early-stage CKD (eGFR 45-59 mL/min/1.73 m
resultsWe identified three distinct clusters based on eGFR variability using cluster analysis. Among these clusters, one exhibited significantly high variability with a high residual (median of mean residuals of 10.9 mL/min/1.73 m
conclusionsThis study highlights the presence of distinct eGFR variability patterns in early-stage CKD and identifies a subgroup at high risk for rapid renal decline. Monitoring eGFR variability provides critical insights into long-term prognosis and may inform targeted interventions. Considering these findings, early detection and management of patients with early CKD may improve disease progression and reduce the risk of adverse outcomes.
trial registrationThis study is an observational study using a database and does not involve a health care intervention on human participants. Therefore, trial registration is not applicable.
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.