Evidence map›Paper›PMID 37668871›Full record

ArticleJournal of artificial organs : the official journal of the Japanese Society for Artificial Organs2024

Rapid prototyping of multi-compartment models for urea kinetics in hemodialysis: a System Dynamics approach.

David M Rubin, Robyn F R Letts, Xriz L Richards, Shamin Achari, Adam Pantanowitz

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 81% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Trial
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.

David M RubinBiomedical Engineering Research Group, School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, South Africa. david.rubin@wits.ac.za.ORCID http://orcid.org/0000-0003-0316-9197
Robyn F R LettsBiomedical Engineering Research Group, School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, South Africa.
Xriz L RichardsBiomedical Engineering Research Group, School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, South Africa.
Shamin AchariBiomedical Engineering Research Group, School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, South Africa.
Adam PantanowitzBiomedical Engineering Research Group, School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, South Africa.
University of the Witwatersrand · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Models of urea kinetics facilitate a mechanistic understanding of urea transfer and provide a tool for optimizing dialysis efficacy. Dual-compartment models have largely replaced single-compartment models as they are able to accommodate the urea rebound on the cessation of dialysis. Modeling the kinetics of urea and other molecular species is frequently regarded as a rarefied academic exercise with little relevance at the bedside. We demonstrate the utility of System Dynamics in creating multi-compartment models of urea kinetics by developing a dual-compartment model that is efficient, intuitive, and widely accessible to a range of practitioners. Notwithstanding its simplicity, we show that the System Dynamics model compares favorably with the performance of a more complex volume-average model in terms of calibration to clinical data and parameter estimation. Its intuitive nature, ease of development/modification, and excellent performance with real-world data may make System Dynamics an invaluable tool in widening the accessibility of hemodialysis modeling.

Indexed as

Renal DialysisUreaHumansKineticsModels, BiologicalUreaHemodialysisModelingMulti-compartmentSystem Dynamics

Identifiers

PMID37668871
PMCPMC11345323
OpenAlexW4386438794

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.