Evidence map›Paper›PMID 42733501›Full record

ArticleKidney international reports2026

Combining Cystatin C and Creatinine Increases eGFR Slope Accuracy in ADPKD.

Thomas Bais, Abdulfataah A A Mohamed, A Noruzi, Muhammad Umar, Bella A Binoy, M Salih, Esther Meijer, Ron T Gansevoort

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In one paragraph

Article in Kidney international reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Thomas BaisDivision of Nephrology, Department of Internal Medicine, University Medical Center, Groningen, University of Groningen, Groningen, The Netherlands.
Abdulfataah A A MohamedDivision of Nephrology, Department of Internal Medicine, University Medical Center, Groningen, University of Groningen, Groningen, The Netherlands.
A NoruziDivision of Nephrology and Transplantation, Department of Internal Medicine, Erasmus Medical Center Rotterdam, The Netherlands.
Muhammad UmarDivision of Nephrology, Department of Internal Medicine, University Medical Center, Groningen, University of Groningen, Groningen, The Netherlands.
Bella A BinoyDivision of Nephrology, Department of Internal Medicine, University Medical Center, Groningen, University of Groningen, Groningen, The Netherlands.
M SalihDivision of Nephrology, Department of Internal Medicine, University Medical Center, Groningen, University of Groningen, Groningen, The Netherlands.
Esther MeijerDivision of Nephrology, Department of Internal Medicine, University Medical Center, Groningen, University of Groningen, Groningen, The Netherlands.
Ron T GansevoortDivision of Nephrology, Department of Internal Medicine, University Medical Center, Groningen, University of Groningen, Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In autosomal dominant polycystic kidney disease (ADPKD) trials, creatinine-based estimated glomerular filtration rate (GFR, eGFR Methods: In the 260 patients with ADPKD from the DIPAK observational cohort, we compared 2021 Chronic Kidney Disease (CKD)-Epidemiology Collaboration (CKD-EPI)-based eGFR based on the following: (i) routine clinical creatinine, (ii) batch-measured creatinine, and (iii) batch-measured cystatin C to mGFR. Creatinine and cystatin batch measurements were performed on the same day to minimize variability. Cross-sectional performance was evaluated by bias (eGFR - mGFR), precision, accuracy (P30/P10), and CKD stage agreement. Longitudinal agreement between mGFR and eGFR slopes (ml/min per 1.73 m Results: Cross-sectional performance of batch-measured eGFR Conclusion: The use of eGFR

Indexed as

ADPKDestimated glomerular filtration ratetrial design

Identifiers

PMID42733501
PMCPMC13571460

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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.