Evidence map›Paper›PMID 38014400›Full record

ArticleClinical immunology communications2023

Predictors of mortality in patients with COVID-19 by flow cytometry.

Marco Bonilla Izquierdo, Ana María Navas Romo, Aurora Gema Sicilia Zafra, Juan de Dios López-González Garrido

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Clinical immunology communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 53% of its field
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 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Marco Bonilla IzquierdoFacultad de Odontología, Universidad de Granada, España.
Ana María Navas RomoDepartamento de Inmunología, Hospital Universitario Reina Sofía, Córdoba, España.
Aurora Gema Sicilia ZafraDepartamento de Sanidad, IES La Fuensanta, Córdoba, España.
Juan de Dios López-González GarridoDepartamento de Radiología y Medicina Física, Facultad de Medicina y de Odontología. Universidad de Granada, España.
Universidad de Granada · ESHospital Universitario Reina Sofía · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the great impact of severe acute respiratory syndrome caused by coronavirus 2 (SARS-CoV-2), we still lack techniques that allow us to anticipate the natural history of the disease in order to avoid or shorten the clinical period of the disease. The values of nine cytokines were measured in COVID-19+ patients admitted to the Hospital Universitario Reina Sofía (HURS) using flow cytometry. The cytokines measured are IL-1ß, IL-6, MCP-1, IP-10, IL-10, IL-8, IL-12, IFN-γ and TNF-α. Given the absence of previous studies on cytokine values in healthy patients using the flow cytometry technique, and the low availability of resources in the first waves of COVID-19, a control group was lacking, all resources were employed for monitoring sick patients. However, this study has revealed a greater increase in two specific cytokines, which are also found to be higher than the rest in healthy patients: MCP-1 and IP-10, which are mainly responsible for cytokine storm and post-disease thrombosis.

Indexed as

BeadsCOVID-19CytokineFlow cytometry

Identifiers

PMID38014400
PMCPMC9918322
OpenAlexW4319868351

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.