Evidence map›Paper›PMID 41565735›Full record

ArticleScientific reports2026

Predicting dialyzer fiber blocking is hard due to high intrapatient variability and limited utility of thrombin generation markers.

Sunny Eloot, Tom Mertens, Iván Josipovic, Joke Konings, Griet Glorieux, Laura E Fredenburgh, Mark Roest, Rolando Acosta, Filip De Somer, Ethan P Marin and 3 more

Abstract read
In one paragraph

Article in Scientific 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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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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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

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5 · Who and what money

Authors and funding

13 authors.

Sunny ElootNephrology Department, Ghent University Hospital, Corneel Heymanslaan 10, Ghent, 9000, Belgium. sunny.eloot@ugent.be.ORCID http://orcid.org/0000-0002-6984-1743
Tom MertensNephrology Department, Ghent University Hospital, Corneel Heymanslaan 10, Ghent, 9000, Belgium.
Iván JosipovicCentre for X-ray Tomography, Physics and Astronomy, Ghent University, Ghent, Belgium.
Joke KoningsSynapse Research Institute, Maastricht, The Netherlands.
Griet GlorieuxNephrology Department, Ghent University Hospital, Corneel Heymanslaan 10, Ghent, 9000, Belgium.
Laura E FredenburghRegeneron Pharmaceuticals, Tarrytown, NY, USA.
Mark RoestSynapse Research Institute, Maastricht, The Netherlands.
Rolando AcostaRegeneron Pharmaceuticals, Tarrytown, NY, USA.
Filip De SomerDepartment of Cardiac Surgery, Ghent University Hospital, Ghent, Belgium.
Ethan P MarinRegeneron Pharmaceuticals, Tarrytown, NY, USA.
Matthieu N BooneCentre for X-ray Tomography, Physics and Astronomy, Ghent University, Ghent, Belgium.
Wim Van BiesenNephrology Department, Ghent University Hospital, Corneel Heymanslaan 10, Ghent, 9000, Belgium.
Floris VanommeslaegheNephrology Department, Ghent University Hospital, Corneel Heymanslaan 10, Ghent, 9000, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, no reliable blood-based or instrumental parameters are available to quantify dialyzer fiber blocking during hemodialysis. The only accurate method remains micro-computed tomography (µCT) imaging of the hemodialyzer post-dialysis, a labor-intensive process currently limited to research settings. Although several cross-sectional studies have employed µCT to evaluate hemodialyzer performance and anticoagulation strategies, intrapatient variability of this method has not been systematically examined. This study addressed that gap by enrolling ten chronic hemodialysis patients, each undergoing two series of three identical dialysis sessions: one with full anticoagulation and one with only 25% of the standard anticoagulation dose. µCT imaging after each session revealed important intrapatient variability in fiber blocking, comparable in magnitude to interpatient variability. These findings underscore the need for caution when interpreting cross-sectional assessments of dialyzer clotting and highlight the importance of accounting for intrapatient variability in the design and sample size estimation of future studies on clotting. Additionally, among the parameters derived from whole blood thrombin generation (WBTG) tests, only lag time and time to peak demonstrated correlations with fiber patency. However, due to their limited predictive accuracy at the individual level, even these promising markers fall short of providing clinically useful predictors for dialyzer fiber blocking.

Indexed as

Renal DialysisThrombinAnticoagulantsBiomarkersBlood CoagulationHumansX-Ray MicrotomographyAnticoagulantsBiomarkersThrombin

Identifiers

PMID41565735
PMCPMC12894902

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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.