Evidence map›Paper›PMID 36623718›Full record

ArticleExperimental hematology

Hematologic analysis of hospitalized patients and outpatients infected with SARS-CoV-2 and possible use as a prognostic biomarker.

Daniel Alberto Girón-Pérez, Ulises Netzahualcoyotl Nava-Piedra, Zulema Estefania Esquivel-Esparza, Alma Betsaida Benitez-Trinidad, Rocio Guadalupe Barcelos-Garcia, Erica Yolanda Vázquez-Pulido, Gladys Alejandra Toledo-Ibarra, Guadalupe Herminia Ventura-Ramón, Carlos Eduardo Covantes-Rosales, Victor Wagner Barajas-Carrillo and 4 more

Abstract read
In one paragraph

Article in Experimental hematology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
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

14 authors.

Daniel Alberto Girón-PérezLaboratorio Nacional de Investigación para la Inocuidad Alimentaria (LANIIA) Unidad Nayarit, Universidad Autónoma de Nayarit, Tepic, México.
Ulises Netzahualcoyotl Nava-PiedraLaboratorio Nacional de Investigación para la Inocuidad Alimentaria (LANIIA) Unidad Nayarit, Universidad Autónoma de Nayarit, Tepic, México.
Zulema Estefania Esquivel-EsparzaLaboratorio Nacional de Investigación para la Inocuidad Alimentaria (LANIIA) Unidad Nayarit, Universidad Autónoma de Nayarit, Tepic, México.
Alma Betsaida Benitez-TrinidadLaboratorio Nacional de Investigación para la Inocuidad Alimentaria (LANIIA) Unidad Nayarit, Universidad Autónoma de Nayarit, Tepic, México.
Rocio Guadalupe Barcelos-GarciaLaboratorio Nacional de Investigación para la Inocuidad Alimentaria (LANIIA) Unidad Nayarit, Universidad Autónoma de Nayarit, Tepic, México.
Erica Yolanda Vázquez-PulidoLaboratorio Nacional de Investigación para la Inocuidad Alimentaria (LANIIA) Unidad Nayarit, Universidad Autónoma de Nayarit, Tepic, México.
Gladys Alejandra Toledo-IbarraLaboratorio Nacional de Investigación para la Inocuidad Alimentaria (LANIIA) Unidad Nayarit, Universidad Autónoma de Nayarit, Tepic, México.
Guadalupe Herminia Ventura-RamónLaboratorio Nacional de Investigación para la Inocuidad Alimentaria (LANIIA) Unidad Nayarit, Universidad Autónoma de Nayarit, Tepic, México.
Carlos Eduardo Covantes-RosalesLaboratorio Nacional de Investigación para la Inocuidad Alimentaria (LANIIA) Unidad Nayarit, Universidad Autónoma de Nayarit, Tepic, México.
Victor Wagner Barajas-CarrilloLaboratorio Nacional de Investigación para la Inocuidad Alimentaria (LANIIA) Unidad Nayarit, Universidad Autónoma de Nayarit, Tepic, México.
Ansonny Jhovanny Ojeda-DuránLaboratorio Nacional de Investigación para la Inocuidad Alimentaria (LANIIA) Unidad Nayarit, Universidad Autónoma de Nayarit, Tepic, México.
Karina Janice Guadalupe Díaz-ResendizLaboratorio Nacional de Investigación para la Inocuidad Alimentaria (LANIIA) Unidad Nayarit, Universidad Autónoma de Nayarit, Tepic, México.
Ulises Mercado-SalgadoLaboratorio Nacional de Investigación para la Inocuidad Alimentaria (LANIIA) Unidad Nayarit, Universidad Autónoma de Nayarit, Tepic, México.
Manuel Iván Girón-PérezLaboratorio Nacional de Investigación para la Inocuidad Alimentaria (LANIIA) Unidad Nayarit, Universidad Autónoma de Nayarit, Tepic, México. Electronic address: ivangiron@uan.edu.mx.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is a global health problem; this has caused thousands of deaths around the world. This infection induces hematologic alterations, and it is necessary to recognize predictive biomarkers to address the need for hospitalization or the severity of the disease. This study aimed to analyze different parameters in outpatients and hospitalized patients infected with SARS-CoV-2 and determine whether hematic biometry can be used for prognosis rapidly. We analyzed 689 patients, of whom 355 were outpatients (162 women and 193 men) and 334 required hospitalization (197 men and 137 women). The average age of the hospitalized patients was 46 years (men, 49 years; women, 52 years), whereas the average age of the outpatients was 49 years (men, 51 years; women, 44 years). Hematologic parameters were analyzed and compared between the outpatients and hospitalized patients. The patients were divided into groups by age and sex. We found that in the hospitalized patients, the erythrocyte, hematocrit, and hemoglobin levels decreased, whereas the outpatients did not experience changes in the erythroid series. In leukocytes, these increased significantly, as they did in neutrophils; however, lymphocytopenia was observed. In the outpatients, we observed normal levels of neutrophils and lymphopenia. We can conclude that hematic biometry can be used as a biomarker, and the relation between neutrophils and lymphocytes is indicated for understanding the development and prognosis of the disease.

Indexed as

COVID-19SARS-CoV-2FemaleHospitalizationHumansMaleMiddle AgedOutpatientsPrognosis

Identifiers

PMID36623718
PMCPMC9816068

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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.