Evidence map›Paper›PMID 34830714›Full record

ArticleJournal of clinical medicine2021

Predictive Modeling of Poor Outcome in Severe COVID-19: A Single-Center Observational Study Based on Clinical, Cytokine and Laboratory Profiles.

Óscar Gorgojo-Galindo, Marta Martín-Fernández, María Jesús Peñarrubia-Ponce, Francisco Javier Álvarez, Christian Ortega-Loubon, Hugo Gonzalo-Benito, Pedro Martínez-Paz, José Pablo Miramontes-González, Esther Gómez-Sánchez, Rodrigo Poves-Álvarez and 4 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
–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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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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

14 authors.

Óscar Gorgojo-GalindoBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.
Marta Martín-FernándezBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.ORCID 0000-0003-2714-8120
María Jesús Peñarrubia-PonceHaematology and Hemotherapy Department, University Clinical Hospital, 47003 Valladolid, Spain.
Francisco Javier ÁlvarezBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.ORCID 0000-0002-7566-5678
Christian Ortega-LoubonBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.ORCID 0000-0002-5355-554X
Hugo Gonzalo-BenitoBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.
Pedro Martínez-PazBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.ORCID 0000-0002-5772-8153
José Pablo Miramontes-GonzálezIBSAL, Pontificia University of Salamanca, 37002 Salamanca, Spain.ORCID 0000-0002-2247-9679
Esther Gómez-SánchezBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.ORCID 0000-0002-9457-1394
Rodrigo Poves-ÁlvarezBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.
Pablo Jorge-MonjasBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.
Eduardo TamayoBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.
María Heredia-RodríguezBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.ORCID 0000-0003-3691-0252
Álvaro Tamayo-VelascoBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.ORCID 0000-0001-6202-5420

Funding

Carlos III Health Institute COV20/00491
6 · The paper itself

Abstract

Pneumonia is the main cause of hospital admission in COVID-19 patients. We aimed to perform an extensive characterization of clinical, laboratory, and cytokine profiles in order to identify poor outcomes in COVID-19 patients.

methodsA prospective and consecutive study involving 108 COVID-19 patients was conducted between March and April 2020 at Hospital Clínico Universitario de Valladolid (Spain). Plasma samples from each patient were collected after emergency room admission. Forty-five serum cytokines were measured in duplicate, and clinical data were analyzed using SPPS version 25.0.

resultsA multivariate predictive model showed high hepatocyte growth factor (HGF) plasma levels as the only cytokine related to intubation or death risk at hospital admission (OR = 7.38, 95%CI-(1.28-42.4),

conclusionsA simple, robust, and quick predictive model, based on the ABO blood group, four common laboratory values, and one specific cytokine (HGF), could be used in order to predict poor outcomes in COVID-19 patients.

Indexed as

biomarkerCOVID-19cytokinesdiagnosisHGFvalidation

Identifiers

PMID34830714
PMCPMC8622763

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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.