Evidence map›Paper›PMID 33807387›Full record

ArticleToxins2021

Optical Method and Biochemical Source for the Assessment of the Middle-Molecule Uremic Toxin β2-Microglobulin in Spent Dialysate.

Joosep Paats, Annika Adoberg, Jürgen Arund, Ivo Fridolin, Kai Lauri, Liisi Leis, Merike Luman, Risto Tanner

Open access · goldAbstract read
In one paragraph

Article in Toxins, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Cognitive impairment in chronic kidney disease: role of brain imaging, functional imaging, electroencephalography, cerebrospinal fluid biomarkers and sensors.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Review
  4. Review
  5. Review
  6. Article
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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

8 authors at 2 institutions in 1 country.

Joosep PaatsDepartment of Health Technologies, Tallinn University of Technology, 19086 Tallinn, Estonia.
Annika AdobergCentre of Nephrology, North Estonia Medical Centre, 13419 Tallinn, Estonia.
Jürgen ArundDepartment of Health Technologies, Tallinn University of Technology, 19086 Tallinn, Estonia.
Ivo FridolinDepartment of Health Technologies, Tallinn University of Technology, 19086 Tallinn, Estonia.ORCID 0000-0001-7374-4287
Kai LauriDepartment of Health Technologies, Tallinn University of Technology, 19086 Tallinn, Estonia.
Liisi LeisCentre of Nephrology, North Estonia Medical Centre, 13419 Tallinn, Estonia.
Merike LumanDepartment of Health Technologies, Tallinn University of Technology, 19086 Tallinn, Estonia.
Risto TannerDepartment of Health Technologies, Tallinn University of Technology, 19086 Tallinn, Estonia.
Tallinn University of Technology · EENorth Estonia Medical Centre · EE

Funding

Estonian Ministry of Education and Research under institutional research financing grant nr IUT 19-2European Regional Development Fund Estonian Centre of Excellence in IT (EXCITE)H2020 Innovation In SMEs OLDIAS2-Online Dialysis Sensor Phase2 project, Grant Agreement nr 767572
6 · The paper itself

Abstract

Optical monitoring of spent dialysate has been used to estimate the removal of water-soluble low molecular weight as well as protein-bound uremic toxins from the blood of end stage kidney disease (ESKD) patients. The aim of this work was to develop an optical method to estimate the removal of β2-microglobulin (β2M), a marker of middle molecule (MM) uremic toxins, during hemodialysis (HD) treatment. Ultraviolet (UV) and fluorescence spectra of dialysate samples were recorded from 88 dialysis sessions of 22 ESKD patients, receiving four different settings of dialysis treatments. Stepwise regression was used to obtain the best model for the assessment of β2M concentration in the spent dialysate. The correlation coefficient 0.958 and an accuracy of 0.000 ± 0.304 mg/L was achieved between laboratory and optically estimated β2M concentrations in spent dialysate for the entire cohort. Optically and laboratory estimated reduction ratio (RR) and total removed solute (TRS) of β2M were not statistically different (

Indexed as

Renal DialysisAdultAgedbeta 2-MicroglobulinBiomarkersFemaleGlycation End Products, AdvancedHemodialysis SolutionsHumansKidney Failure, ChronicMaleMiddle AgedProtein BindingSpectrometry, FluorescenceSpectrophotometry, UltravioletToxins, BiologicalB2M protein, humanbeta 2-MicroglobulinBiomarkersGlycation End Products, AdvancedHemodialysis SolutionsToxins, BiologicalTryptophanuremia middle molecule toxinsdialysis adequacyfluorescencehemodialysismiddle molecule uremic toxinsoptical monitoringultraviolet absorbanceβ2-microglobulin

Identifiers

PMID33807387
PMCPMC8067283
OpenAlexW3140007601

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.