Evidence map›Paper›PMID 35207812›Full record

ArticleJournal of personalized medicine2022

miR-155: A Potential Biomarker for Predicting Mortality in COVID-19 Patients.

Reut Kassif-Lerner, Keren Zloto, Nadav Rubin, Keren Asraf, Ram Doolman, Gidi Paret, Yael Nevo-Caspi

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Reut Kassif-LernerDepartment of Pediatric Critical Care Medicine, Safra Children's Hospital, Sheba Medical Center, Ramat-Gan 5265601, Israel.
Keren ZlotoDepartment of Obstetrics and Gynecology, Sheba Medical Center, Ramat-Gan 5265601, Israel.
Nadav RubinDepartment of Pediatric Critical Care Medicine, Safra Children's Hospital, Sheba Medical Center, Ramat-Gan 5265601, Israel.
Keren AsrafThe Dworman Automated-Mega Laboratory, Sheba Medical Center, Ramat-Gan 5265601, Israel.
Ram DoolmanThe Dworman Automated-Mega Laboratory, Sheba Medical Center, Ramat-Gan 5265601, Israel.
Gidi ParetDepartment of Pediatric Critical Care Medicine, Safra Children's Hospital, Sheba Medical Center, Ramat-Gan 5265601, Israel.
Yael Nevo-CaspiDepartment of Pediatric Critical Care Medicine, Safra Children's Hospital, Sheba Medical Center, Ramat-Gan 5265601, Israel.ORCID 0000-0002-4218-2717
Sheba Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19, a pandemic of severe acute respiratory syndrome caused by Coronavirus 2 (SARS-CoV-2), continues to pose diagnostic and therapeutic challenges due to its unpredictable clinical course. Prognostic biomarkers may improve care by enabling quick identification of patients who can be safely discharged home versus those who may need careful respiratory monitoring and support. MicroRNAs (miRNAs) have risen to prominence as biomarkers for many disease states and as tools to assist in medical decisions. In the present study, we aimed to examine circulating miRNAs in hospitalized COVID-19 patients and to explore their potential as biomarkers for disease severity. We studied, by quantitative PCR, the expressions of miR-21, miR-146a, miR-146b, miR-155, and miR-499 in peripheral blood. We found that mild COVID-19 patients had 2.5-fold less circulating miR-155 than healthy people, and patients with a severe COVID-19 disease had 5-fold less circulating miR-155 than healthy people. In addition, we found that miR-155 is a good predictor of COVID-19 mortality. We suggest that examining miR-155 levels in patients' blood, upon admission to hospital, will ameliorate the care given to COVID-19 patients.

Indexed as

biomarkersCOVID-19miR-155miRNAspredictor of mortality

Identifiers

PMID35207812
PMCPMC8877479
OpenAlexW4212786451

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.