ArticleFrontiers in cell and developmental biology2026
Dialysis vintage modifies the effect of adsorption-based therapies on protein-bound toxin clearance.
Article in Frontiers in cell and developmental biology, 2026. 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The efficiency of hemodialysis varies substantially across different solute classes, but the determinants of this variability remain poorly characterized, limiting personalized prescription. Methods: In this prospective randomized study, 60 maintenance hemodialysis patients were assigned to three modalities: hemodiafiltration (HDF), hemodialysis with HA130 hemoperfusion, and hemodialysis with KHA130 hemoperfusion. Clearance of p-cresyl sulfate (PCS), β2-microglobulin (β2-MG), advanced glycation end products (AGEs), and indoxyl sulfate (IS) was assessed. Multivariable linear regression, interaction analysis, subgroup analysis stratified by dialysis vintage tertiles, nonlinear quadratic regression, and machine learning (LASSO and Elastic Net) were applied. Results: HD + KHA130 significantly improved PCS clearance compared with HDF (β = 45.26, 95% CI: 6.26-84.27, P = 0.023), an effect robust to multivariable adjustment. Significant interactions between treatment modality and dialysis vintage were observed for PCS (P = 0.008), β2-MG (P = 0.002), and IS (P = 0.044). Exploratory subgroup analyses suggested that adsorption may benefit β2-MG and IS more in short dialysis vintage, whereas HD + KHA130 appeared more advantageous for PCS in long vintage patients. The relationship between dialysis vintage and PCS clearance followed a U-shaped pattern, with a nadir at approximately 60 months (bootstrap median; 95% CI: 9.6-218.1; P = 0.038). Machine learning identified dialysis vintage, age, treatment method, and CRP as the most stable predictors of PCS clearance. Conclusion: HD + KHA130 significantly enhances PCS clearance, and may be most beneficial in patients with longer dialysis vintage. These findings support personalized treatment selection based on both solute type and dialysis vintage.
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.