Evidence map›Paper›PMID 38495950›Full record

ArticlePhotoacoustics2024

Study of erythrocyte sedimentation in human blood through the photoacoustic signals analysis.

Argelia Pérez-Pacheco, Roberto G Ramírez-Chavarría, Marco Polo Colín-García, Flor Del Carmen Cortés-Ortegón, Rosa María Quispe-Siccha, Adolfo Martínez-Tovar, Irma Olarte-Carrillo, Luis Polo-Parada, Gerardo Gutiérrez-Juárez

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Photoacoustics, 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
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.

  1. 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

9 authors.

Argelia Pérez-PachecoUnidad de Investigación y Desarrollo Tecnológico (UIDT), Hospital General de México, Dr. Eduardo Liceaga, Ciudad de México 06726, Mexico.
Roberto G Ramírez-ChavarríaInstituto de Ingeniería, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
Marco Polo Colín-GarcíaInstituto de Ciencias Aplicadas y Tecnología (ICAT), Universidad Nacional Autónoma de México, Apartado Postal 70‑186, Ciudad de México 04510, Mexico.
Flor Del Carmen Cortés-OrtegónInstituto de Ciencias Aplicadas y Tecnología (ICAT), Universidad Nacional Autónoma de México, Apartado Postal 70‑186, Ciudad de México 04510, Mexico.
Rosa María Quispe-SicchaUnidad de Investigación y Desarrollo Tecnológico (UIDT), Hospital General de México, Dr. Eduardo Liceaga, Ciudad de México 06726, Mexico.
Adolfo Martínez-TovarLaboratorio de Biología Molecular, Servicio de Hematología, Hospital General de México, Dr. Eduardo Liceaga, Ciudad de México 06726, Mexico.
Irma Olarte-CarrilloLaboratorio de Biología Molecular, Servicio de Hematología, Hospital General de México, Dr. Eduardo Liceaga, Ciudad de México 06726, Mexico.
Luis Polo-ParadaDepartment of Medical Pharmacology and Physiology and Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO 65211, USA.
Gerardo Gutiérrez-JuárezDepartamento de Ingeniería Física, División de Ciencias e Ingenierías, Universidad de Guanajuato-Campus León, León, Guanajuato C.P. 37150, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In this study, we utilized the pulsed photoacoustic (PA) technique to analyze globular sedimentation in whole human blood, with a focus on distinguishing between healthy individuals and those with hemolytic anemia. Methods: Blood samples were collected from both healthy individuals (women and men) and those with hemolytic anemia, and temporal and spectral parameters of PA signals were employed for analysis. Results: Significant differences (p < 0.05) were observed in PA metrics between the two groups. The proposed spectral analysis allowed significant differentiation within a 25-minute measurement window. Anemic blood samples exhibited higher erythrocyte sedimentation rate (ESR) values, indicating increased erythrocyte aggregation. Discussion: This study underscores the potential of PA signal analysis in ESR assessment as an efficient method for distinguishing between healthy and anemic blood, surpassing traditional approaches. It represents a promising contribution to the development of precise and sensitive techniques for analyzing human blood samples in clinical settings.

Indexed as

AggregationAnemiaErythrocyte sedimentationPulsed photoacousticSpeed of soundWhole human blood

Identifiers

PMID38495950
PMCPMC10940783

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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.