Evidence map›Paper›PMID 34357148›Full record

ArticleJournal of personalized medicine2021

Evaluation of Cytokines as Robust Diagnostic Biomarkers for COVID-19 Detection.

Álvaro Tamayo-Velasco, María Jesús Peñarrubia-Ponce, Francisco Javier Álvarez, Hugo Gonzalo-Benito, Ignacio de la Fuente, Marta Martín-Fernández, José María Eiros, Pedro Martínez-Paz, José Pablo Miramontes-González, Aida Fiz-López and 8 more

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

18 authors.

Álvaro Tamayo-VelascoHaematology and Hemotherapy Department, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain.ORCID 0000-0001-6202-5420
María Jesús Peñarrubia-PonceHaematology and Hemotherapy Department, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain.
Francisco Javier ÁlvarezPharmacological Big Data Laboratory, Pharmacology Department, Faculty of Medicine, Universidad de Valladolid, 47005 Valladolid, Spain.ORCID 0000-0002-7566-5678
Hugo Gonzalo-BenitoBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.
Ignacio de la FuenteHaematology and Hemotherapy Department, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain.ORCID 0000-0001-5381-820X
Marta Martín-FernándezBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.ORCID 0000-0003-2714-8120
José María EirosMicrobiology Department, Hospital Universitario Rio Hortega, 47012 Valladolid, Spain.ORCID 0000-0002-5357-6340
Pedro Martínez-PazBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.ORCID 0000-0002-5772-8153
José Pablo Miramontes-GonzálezInstituto de Investigación Biomédica de Salamanca (IBSAL), Universidad Pontificia de Salamanca, 37002 Salamanca, Spain.ORCID 0000-0002-2247-9679
Aida Fiz-LópezMucosal Immunology Laboratory, Instituto de Biomedicina y Genética Molecular (IBGM), Universidad de Valladolid-CSIC, 47005 Valladolid, Spain.ORCID 0000-0003-2052-7996
Elisa Arribas-RodríguezMucosal Immunology Laboratory, Instituto de Biomedicina y Genética Molecular (IBGM), Universidad de Valladolid-CSIC, 47005 Valladolid, Spain.ORCID 0000-0002-4470-075X
Paloma Cal-SabaterMucosal Immunology Laboratory, Instituto de Biomedicina y Genética Molecular (IBGM), Universidad de Valladolid-CSIC, 47005 Valladolid, Spain.ORCID 0000-0003-0267-794X
Rocío AllerBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.
Carlos DueñasInternal Medicine Department, Hospital Clínico Universitario de Valladolid, 47003 Valladolid, Spain.ORCID 0000-0002-8943-1231
María Heredia-RodríguezBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.ORCID 0000-0003-3691-0252
Eduardo TamayoBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.
David BernardoMucosal Immunology Laboratory, Instituto de Biomedicina y Genética Molecular (IBGM), Universidad de Valladolid-CSIC, 47005 Valladolid, Spain.ORCID 0000-0002-2843-6696
Esther Gómez-SánchezBioCritic, Group for Biomedical Research in Critical Care Medicine, 47005 Valladolid, Spain.ORCID 0000-0002-9457-1394

Funding

Consejo Superior de Investigaciones Científicas CSIC-COV19-016/202020E155IBGM excellence programme (CLU-2029-02)Instituto de Salud Carlos III COV20/00491Junta de Castilla y León Proyectos COVID 07.04.467B04.74011.0
6 · The paper itself

Abstract

Antigen tests or polymerase chain reaction (PCR) amplification are currently COVID-19 diagnostic tools. However, developing complementary diagnosis tools is mandatory. Thus, we performed a plasma cytokine array in COVID-19 patients to identify novel diagnostic biomarkers. A discovery-validation study in two independent prospective cohorts was performed. The discovery cohort included 136 COVID-19 and non-COVID-19 patients recruited consecutively from 24 March to 11 April 2020. Forty-five cytokines' quantification by the MAGPIX system (Luminex Corp., Austin, TX, USA) was performed in plasma samples. The validation cohort included 117 patients recruited consecutively from 15 to 25 April 2020 for validating results by ELISA. COVID-19 patients showed different levels of multiple cytokines compared to non-COVID-19 patients. A single chemokine, IP-10, accurately identified COVID-19 patients who required hospital admission (AUC: 0.962; 95%CI (0.933-0.992);

Indexed as

biomarkerCOVID-19diagnosisIP-10validation

Identifiers

PMID34357148
PMCPMC8303564

What OpenQuestion holds

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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.