Evidence map›Paper›PMID 42493502›Full record

ArticleNature communications2026

Creatinine assay interferences compromises MELD accuracy and may bias liver allocation.

Eda Kaya, Christin Quast, Maria Stepanova, Jasmin Weninger, Oliver Goetze, Antonios Katsounas, Abdurrahman Coskun, Martina Bröcker-Preuß, Zobair M Younossi, Jan-Peter Sowa and 3 more

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

13 authors.

Eda KayaDepartment of Medicine, Knappschaft Kliniken University Hospital Bochum, Ruhr University Bochum, Bochum, Germany.ORCID 0000-0002-9293-2811
Christin QuastDepartment of Medicine, Knappschaft Kliniken University Hospital Bochum, Ruhr University Bochum, Bochum, Germany.ORCID 0000-0002-7372-3598
Maria StepanovaGlobal NASH/MASH Council, Center for Outcomes Research in Liver Disease, Washington, DC, USA.
Jasmin WeningerDepartment of Medicine, Knappschaft Kliniken University Hospital Bochum, Ruhr University Bochum, Bochum, Germany.ORCID 0009-0008-7116-8931
Oliver GoetzeDepartment of Medicine, Knappschaft Kliniken University Hospital Bochum, Ruhr University Bochum, Bochum, Germany.
Antonios KatsounasDepartment of Medicine, Knappschaft Kliniken University Hospital Bochum, Ruhr University Bochum, Bochum, Germany.ORCID 0000-0002-5179-0327
Abdurrahman CoskunDepartment of Medicine, Knappschaft Kliniken University Hospital Bochum, Ruhr University Bochum, Bochum, Germany.ORCID 0000-0002-1273-0604
Martina Bröcker-PreußDepartment of Medicine, Knappschaft Kliniken University Hospital Bochum, Ruhr University Bochum, Bochum, Germany.
Zobair M YounossiGlobal NASH/MASH Council, Center for Outcomes Research in Liver Disease, Washington, DC, USA.
Jan-Peter SowaDepartment of Medicine, Knappschaft Kliniken University Hospital Bochum, Ruhr University Bochum, Bochum, Germany.ORCID 0000-0003-2943-0015
Caroline StobeCalibration Laboratory 1, Reference Institute for Bioanalytics, Cologne, Germany.
Mustafa Kemal Özcürümez *Department of Medicine, Knappschaft Kliniken University Hospital Bochum, Ruhr University Bochum, Bochum, Germany.ORCID 0000-0002-4360-5005
Ali Canbay *Department of Medicine, Knappschaft Kliniken University Hospital Bochum, Ruhr University Bochum, Bochum, Germany. ali.canbay@rub.de.ORCID 0000-0001-6069-7899

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Model for End-Stage Liver Disease (MELD) score is widely used to prioritize patients for liver transplantation and to estimate short-term mortality in end-stage liver disease. Inaccuracies in serum creatinine measurements, particularly interference from bilirubin, both key components of the MELD, may influence clinical decision-making. However, standardized approaches to address such analytical bias are lacking. Here we show that bilirubin-related interference leads to clinically relevant MELD distortions and associated outcomes. We developed a correction model using controlled in vitro matrices and validated it against representative patient samples. The model was applied to a large cohort from registry data and a separate clinical population. After correction, clinically meaningful score shifts occurred in a substantial proportion of patients, with lower corrected scores associated with altered transplantation probability and mortality estimates. These findings highlight the importance of harmonized, interference-resistant creatinine assays to improve fairness and accuracy in liver transplant allocation.

Indexed as

CreatinineEnd Stage Liver DiseaseLiver TransplantationBilirubinFemaleHumansMaleSeverity of Illness IndexBilirubinCreatinine

Identifiers

PMID42493502
PMCPMC13396164

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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.