Evidence map›Paper›PMID 41894233›Full record

Observational studyNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2026

Association of UACR and UPCR with kidney failure: analysis of observational data in patients with rare kidney diseases.

Katie Wong, David Pitcher, Jonathan Barratt, Daniel P Gale, RaDaR Consortium

Abstract readObservational Study
In one paragraph

Observational study in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Association of UACR and UPCR with kidney failure: a pooled analysis of clinical trials.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Article
  2. Reconsidering the measurement of urinary proteins in chronic kidney disease: towards a global consensus on albuminuria assessment.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Katie WongCentre for Kidney and Bladder Health, University College London, UK.
David PitcherCentre for Kidney and Bladder Health, University College London, UK.
Jonathan BarrattMayer IgA Nephropathy Laboratories, University of Leicester, Leicester, UK.
Daniel P GaleCentre for Kidney and Bladder Health, University College London, UK.ORCID 0000-0002-9170-1579
RaDaR ConsortiumMultiple Affiliations.

Funding

Kidney Research UK
6 · The paper itself

Abstract

backgroundProteinuria is associated with long-term kidney failure (KF) risk. In trials of CKD and diabetic kidney disease, urine albumin:creatinine ratio (ACR) has been the preferred urinary protein measurement and features in guidelines and risk-prediction models. In studies of rare, glomerular diseases, urine protein: creatinine ratio (PCR) has more often been used, consequently featuring in treatment algorithms for these diseases. While equations estimating ACR from PCR (estACR) have been developed in large CKD cohorts, whether ACR, PCR, non-albumin proteinuria, and estACR differ in their relationships with KF in patients with rare kidney diseases is unknown.

methodsPatients in RaDaR with same-day ACR and PCR measurements were included. Analyses were undertaken for the whole cohort, and by disease subtype and ACR tertile. Calibration plots assessed the performance of converting PCR to ACR. Cox regression models of time to KF or death (adjusting for age, sex, eGFR, disease) were run with four proteinuria measures: ACR, PCR, non-albumin proteinuria and estACR. Model fit was assessed using AIC (Akaike information criterion) and SBC (Schwarz Bayesian information Criterion) values, ROC curves and time-dependent AUC, and concordance compared using Uno's C statistic.

resultsOut of 4156 patients, 717 (17%) experienced a KF or death event. At lower predicted ACR deciles, conversion of PCR to ACR underestimated true ACR. Very similar AIC and SBC statistics were observed for all proteinuria measurements, including estACR. Time-dependent AUC at 5 years were >0.83 for all models and disease sub-groups. No statistically significant differences in model concordance were seen (Chi2  P > .2 for all comparisons). Within each ACR tertile, AIC, SBC, and AUC values were similar across all proteinuria metrics.

conclusionsIn this cohort of patients with rare kidney diseases, across all levels of proteinuria studied, we identified no statistically significant differences in the performance of ACR, PCR, non-albumin proteinuria, or estACR to predict KF risk.

Indexed as

AlbuminuriaCreatinineKidney DiseasesProteinuriaRare DiseasesRenal InsufficiencyAgedFemaleFollow-Up StudiesGlomerular Filtration RateHumansKidney Function TestsMaleMiddle AgedPrognosisRisk FactorsCreatinineglomerularproteinuriarare kidney diseases

Identifiers

PMID41894233
PMCPMC13594669

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.