Evidence map›Paper›PMID 36056114›Full record

ArticleScientific reports2022

Leukocyte glucose index as a novel biomarker for COVID-19 severity.

Wendy Marilú Ramos-Hernández, Luis F Soto, Marcos Del Rosario-Trinidad, Carlos Noe Farfan-Morales, Luis Adrián De Jesús-González, Gustavo Martínez-Mier, Juan Fidel Osuna-Ramos, Fernando Bastida-González, Víctor Bernal-Dolores, Rosa María Del Ángel and 1 more

Abstract 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  7. Leukoglycemic Index and Its Prognostic Implications in Diabetic and Nondiabetic Patients with Acute Pulmonary Embolism.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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

11 authors.

Wendy Marilú Ramos-Hernández *Unidad Médica de Alta Especialidad, Hospital de Especialidades No. 14, Centro Médico Nacional "Adolfo Ruiz Cortines", Instituto Mexicano del Seguro Social (IMSS), 91897, Veracruz, México.
Luis F Soto *Escuela Profesional de Genética y Biotecnología, Facultad de Ciencias Biológicas, Universidad Nacional Mayor de San Marcos, Lima, 15081, Perú.
Marcos Del Rosario-TrinidadUnidad Médica de Alta Especialidad, Hospital de Especialidades No. 14, Centro Médico Nacional "Adolfo Ruiz Cortines", Instituto Mexicano del Seguro Social (IMSS), 91897, Veracruz, México.
Carlos Noe Farfan-MoralesDepartment of Infectomics and Molecular Pathogenesis, Center for Research and Advanced Studies (CINVESTAV-IPN), 07360, Mexico City, Mexico.
Luis Adrián De Jesús-GonzálezDepartment of Infectomics and Molecular Pathogenesis, Center for Research and Advanced Studies (CINVESTAV-IPN), 07360, Mexico City, Mexico.
Gustavo Martínez-MierUnidad Médica de Alta Especialidad, Hospital de Especialidades No. 14, Centro Médico Nacional "Adolfo Ruiz Cortines", Instituto Mexicano del Seguro Social (IMSS), 91897, Veracruz, México.
Juan Fidel Osuna-RamosEscuela de Medicina, Universidad Autónoma de Durango Campus Culiacán, 80050, Culiacán Rosales, México.
Fernando Bastida-GonzálezLaboratorio de Biología Molecular, Laboratorio Estatal de Salud Pública del Estado de México, 50130, Mexico City, State of Mexico, Mexico.
Víctor Bernal-DoloresUnidad Médica de Alta Especialidad, Hospital de Especialidades No. 14, Centro Médico Nacional "Adolfo Ruiz Cortines", Instituto Mexicano del Seguro Social (IMSS), 91897, Veracruz, México.
Rosa María Del ÁngelDepartment of Infectomics and Molecular Pathogenesis, Center for Research and Advanced Studies (CINVESTAV-IPN), 07360, Mexico City, Mexico. rmangel@cinvestav.mx.
José Manuel Reyes-RuizUnidad Médica de Alta Especialidad, Hospital de Especialidades No. 14, Centro Médico Nacional "Adolfo Ruiz Cortines", Instituto Mexicano del Seguro Social (IMSS), 91897, Veracruz, México. jose.reyesr@imss.gob.mx.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severity of coronavirus disease 2019 (COVID-19) quickly progresses with unfavorable outcomes due to the host immune response and metabolism alteration. Hence, we hypothesized that leukocyte glucose index (LGI) is a biomarker for severe COVID-19. This study involved 109 patients and the usefulness of LGI was evaluated and compared with other risk factors to predict COVID 19 severity. LGI was identified as an independent risk factor (odds ratio [OR] = 1.727, 95% confidence interval [CI]: 1.026-3.048, P = 0.041), with an area under the curve (AUC) of 0.749 (95% CI: 0.642-0.857, P < 0.0001). Interestingly, LGI was a potential risk factor (OR = 2.694, 95% CI: 1.575-5.283, P

Indexed as

COVID-19BiomarkersFemaleGlucoseGlycemic IndexHumansLeukocytesMaleBiomarkersGlucose

Identifiers

PMID36056114
PMCPMC9438363

What OpenQuestion holds

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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.