Evidence map›Paper›PMID 35995992›Full record

ArticleScientific reports2022

Assessment of creatinine concentration in whole blood spheroids using paper spray ionization-tandem mass spectrometry.

Tung-Ting Sham, Abraham K Badu-Tawiah, Stephen J McWilliam, Simon Maher

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  5. Review
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

4 authors at 3 institutions in 2 countries.

Tung-Ting ShamDepartment of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool, L69 3GJ, UK.
Abraham K Badu-TawiahDepartment of Chemistry and Biochemistry, Ohio State University, Columbus, OH, USA.
Stephen J McWilliamDepartment of Women's and Children's Health, University of Liverpool, Institute in the Park, Alder Hey Children's NHS Foundation Trust, Eaton Road, Liverpool, L12 2AP, UK. stevemcw@liverpool.ac.uk.
Simon MaherDepartment of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool, L69 3GJ, UK. s.maher@liverpool.ac.uk.
University of Liverpool · GBAlder Hey Children's NHS Foundation Trust · GBThe Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate quantification of blood creatinine is important to estimate the glomerular filtration rate. Existing techniques using liquid chromatography tandem mass spectrometry (LC-MS/MS) have a high accuracy and eliminate most interferences encountered in routine enzymatic and Jaffé methods. However, they require laborious and time-consuming sample treatment and data acquisition. The aim of this study is to develop a fast and simple method to enable a direct analysis of whole blood creatinine with performance measures that are comparable to conventional LC-MS/MS. 5μL whole blood is formed as a three-dimensional spheroid on hydrophobic silanized paper substrates which then undergoes paper-spray ionization-tandem mass spectrometry (PSI-MS/MS). The method is validated using real human samples and compared with LC-MS/MS. PSI-MS/MS whole blood analysis exhibited a lower limit of quantification of 2.5 μg/mL, precision ≤ 6.3%, recovery in the range of 88-94% and excellent linearity (R

Indexed as

Tandem Mass SpectrometryChromatography, High Pressure LiquidChromatography, LiquidCreatinineGlomerular Filtration RateHumansReproducibility of ResultsCreatinine

Identifiers

PMID35995992
PMCPMC9395369
OpenAlexW4292608726

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.