Evidence map›Paper›PMID 37591932›Full record

ArticleScientific reports2023

Optical monitoring of hemodialysis using noninvasive measurement of uric acid in the dialysate.

Wojciech Żyłka, Krystyna Tęcza, Krzysztof Szemela, Piotr Prach, Marta Żyłka, Dorota Jakubczyk, Maciej Błądziński, Agnieszka Gala-Błądzińska, Paweł Jakubczyk

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

Article in Scientific reports, 2023. 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
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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

9 authors at 4 institutions in 1 country.

Wojciech ŻyłkaInstitute of Materials Engineering, College of Natural Sciences, University of Rzeszow, Rzeszow, Poland. wzylka@ur.edu.pl.
Krystyna TęczaInstitute of Medical Sciences, Medical College of Rzeszow University, Rzeszow, Poland.
Krzysztof SzemelaInstitute of Physics, College of Natural Sciences, University of Rzeszow, Rzeszow, Poland.
Piotr PrachUniversity of Information Technology and Management in Rzeszow, Rzeszow, Poland.
Marta ŻyłkaThe Faculty of Mechanical Engineering and Aeronautics, Department of Aerospace Engineering, Rzeszow University of Technology, Rzeszow, Poland.
Dorota JakubczykFaculty of Mathematics and Applied Physics, Rzeszow University of Technology, Rzeszow, Poland.
Maciej BłądzińskiInstitute of Medical Sciences, Medical College of Rzeszow University, Rzeszow, Poland.
Agnieszka Gala-BłądzińskaInstitute of Medical Sciences, Medical College of Rzeszow University, Rzeszow, Poland.
Paweł JakubczykInstitute of Physics, College of Natural Sciences, University of Rzeszow, Rzeszow, Poland.
Rzeszów University · PLInstitute of Physics · PLRzeszów University of Technology · PLUniversity of Information Technology and Management in Rzeszow · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to present a methodology for predicting changes in uric acid concentrations in the blood of chronically hemodialyzed patients based on an optical measurement of the intensity of selected wavelengths in the dialysate. Blood samples were taken from the arterial line every 30 min throughout the hemodialysis period, to measure uric acid levels. Simultaneously, optical measurements were made on dialysate flowing from the dialyzer. Uric acid concentration can be measured either directly from the blood or from dialyzer outflow with acceptable error. In addition, both methods reveal any increased dynamics in uric acid concentration in the initial phase of hemodialysis. The wavelength of the light was adjusted for optimal uric acid particle detection. Comparing the uric acid concentration measured in the blood of patients with the intensity of wave absorption in the dialysate, the functional relationship between the uric acid concentration levels was determined. Using the optical method for measuring uric acid concentration in the dialysate, the concentration of uric acid in the blood during hemodialysis can be non-invasively and accurately estimated. This method can be used to assess the adequacy of hemodialysis by computer acquisition of uric acid concentrations determined in on-line dialysate.

Indexed as

Dialysis SolutionsVascular Access DevicesHumansRenal DialysisUric AcidDialysis SolutionsUric Acid

Identifiers

PMID37591932
PMCPMC10435447
OpenAlexW4385951115

What OpenQuestion holds

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LicenceCC BY
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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.