Evidence map›Paper›PMID 34926787›Full record

ArticleRegenerative engineering and translational medicine2021

Determinants of Hemodialysis Performance: Modeling Fluid and Solute Transport in Hollow-Fiber Dialyzers.

Jian Yu, Vipul C Chitalia, Olukemi O Akintewe, Aurelie Edwards, Joyce Y Wong

Open access · greenAbstract read
In one paragraph

Article in Regenerative engineering and translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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 at 1 institution in 1 country.

Jian YuDepartment of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston MA 02215.
Vipul C ChitaliaRenal Section and Cardiovascular Institute, Department of Medicine, Boston University School of Medicine, 650 Albany Street, Boston MA 02118, VA Boston Healthcare System, Boston.
Olukemi O AkinteweDepartment of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston MA 02215.
Aurelie EdwardsDepartment of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston MA 02215.
Joyce Y WongDepartment of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston MA 02215.
Boston University · US

Funding

Multidisciplinary Training in Cardiovascular ResearchT32HL007224 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI HAMBURG, NAOMI MIRIAM, WAINFORD, RICHARD DAVID · 1985 to 2020
$12.3M
Role of c-Cbl in Colon cancerR01CA175382 · NCI · BOSTON MEDICAL CENTER · PI CHITALIA, VIPUL C · 2014 to 2018
$1.8M
Thrombotic complication of uremia: role of prothrombotic uremic solutesR01HL132325 · NHLBI · BOSTON MEDICAL CENTER · PI CHITALIA, VIPUL C · 2016 to 2019
$1.7M
NCI NIH HHS R01 CA175382NHLBI NIH HHS R01 HL132325NHLBI NIH HHS T32 HL007224
6 · The paper itself

Abstract

Hemodialysis constitutes the lifeline of patients with end stage renal disease, yet the parameters that affect hemodialyzer performance remain incompletely understood. We developed a computational model of mass transfer and solute transport in a hollow-fiber dialyzer to gain greater insight into the determinant factors. The model predicts fluid velocity, pressure, and solute concentration profiles for given geometric characteristics, membrane transport properties, and inlet conditions. We examined the impact of transport and structural parameters on uremic solute clearance by varying parameter values within the constraints of standard clinical practice. The model was validated by comparison with published experimental data. Our results suggest solute clearance can be significantly altered by changes in blood and dialysate flow rates, fiber radius and length, and net ultrafiltration rate. Our model further suggests that the main determinant of the clearance of unreactive solutes is their diffusive permeability. The clearance of protein-bound toxins is also strongly determined by blood hematocrit and plasma protein concentrations. Results from this model may serve to optimize hemodialyzer operating conditions in clinical practice to achieve better clearance of pathogenic uremic solutes.

Indexed as

Albumin BindingComputational ModelingHemodialysisSolute transportUremic Toxins

Identifiers

PMID34926787
PMCPMC8673592
OpenAlexW2990574105

What OpenQuestion holds

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Registered trials

None linked

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.