Evidence map›Paper›PMID 38275306›Full record

ArticleBiosensors2024

Reagentless Vis-NIR Spectroscopy Point-of-Care for Feline Total White Blood Cell Counts.

Teresa Guerra Barroso, Carla Queirós, Filipe Monteiro-Silva, Filipe Santos, António Hugo Gregório, Rui Costa Martins

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Teresa Guerra Barroso1H-TOXRUN-One Health Toxicology Research Unit, University Institute of Health Sciences (IUCS), CESPU, CRL, 4585-116 Gandra, Portugal.ORCID 0000-0002-8400-0248
Carla QueirósLAQV-REQUIMTE, Faculty of Sciences, University of Porto, R. Campo Alegre, 4169-007 Porto, Portugal.ORCID 0000-0003-0485-8023
Filipe Monteiro-SilvaINESC TEC-Institute for Systems and Computer Engineering, Technology and Science-Campus da FEUP, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal.ORCID 0000-0003-1923-2218
Filipe SantosINESC TEC-Institute for Systems and Computer Engineering, Technology and Science-Campus da FEUP, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal.ORCID 0000-0002-8486-6113
António Hugo GregórioAnicura CHV-Veterinary Hospital Center, R. Manuel Pinto de Azevedo 118, 4100-320 Porto, Portugal.ORCID 0000-0003-4346-2259
Rui Costa MartinsINESC TEC-Institute for Systems and Computer Engineering, Technology and Science-Campus da FEUP, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal.ORCID 0000-0001-9058-3147

Funding

Fundação para a Ciência e Tecnologia CEEIND/017801/2018, SFRH/BD/09136/2020INESC TEC MyVet Seed Project
6 · The paper itself

Abstract

Spectral point-of-care technology is reagentless with minimal sampling (<10 μL) and can be performed in real-time. White blood cells are non-dominant in blood and in spectral information, suffering significant interferences from dominant constituents such as red blood cells, hemoglobin and billirubin. White blood cells of a bigger size can account for 0.5% to 22.5% of blood spectra information. Knowledge expansion was performed using data augmentation through the hybridization of 94 real-world blood samples into 300 synthetic data samples. Synthetic data samples are representative of real-world data, expanding the detailed spectral information through sample hybridization, allowing us to unscramble the spectral white blood cell information from spectra, with correlations of 0.7975 to 0.8397 and a mean absolute error of 32.25% to 34.13%; furthermore, we achieved a diagnostic efficiency between 83% and 100% inside the reference interval (5.5 to 19.5 × 109 cell/L), and 85.11% for cases with extreme high white blood cell counts. At the covariance mode level, white blood cells are quantified using orthogonal information on red blood cells, maximizing sensitivity and specificity towards white blood cells, and avoiding the use of non-specific natural correlations present in the dataset; thus, the specifity of white blood cells spectral information is increased. The presented research is a step towards high-specificity, reagentless, miniaturized spectral point-of-care hematology technology for Veterinary Medicine.

Indexed as

Point-of-Care SystemsSpectroscopy, Near-InfraredAnimalsCatsErythrocytesLeukocyte CountLeukocytesartificial intelligencepoint-of-carespectroscopywhite blood cells

Identifiers

PMID38275306
PMCPMC11154536

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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.