Evidence map›Paper›PMID 37515246›Full record

ArticleViruses2023

SARS-CoV-2 RNAemia and Disease Severity in COVID-19 Patients.

Merlin Jayalal Lawrence Panchali, Choon-Mee Kim, Jun-Won Seo, Da-Young Kim, Na-Ra Yun, Dong-Min Kim

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 13 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

6 authors at 1 institution in 1 country.

Merlin Jayalal Lawrence PanchaliDepartment of Internal Medicine, Chosun University College of Medicine, Gwangju 61452, Republic of Korea.
Choon-Mee KimPremedical Science, College of Medicine, Chosun University, Gwangju 61452, Republic of Korea.
Jun-Won SeoPremedical Science, College of Medicine, Chosun University, Gwangju 61452, Republic of Korea.ORCID 0000-0002-2806-1863
Da-Young KimPremedical Science, College of Medicine, Chosun University, Gwangju 61452, Republic of Korea.
Na-Ra YunPremedical Science, College of Medicine, Chosun University, Gwangju 61452, Republic of Korea.
Dong-Min KimDepartment of Internal Medicine, Chosun University College of Medicine, Gwangju 61452, Republic of Korea.ORCID 0000-0001-6373-0922
Chosun University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe clinical implications of SARS-CoV-2 RNA viremia in blood (RNAemia) remain uncertain despite gaining more prognostic implications for coronavirus disease 2019 (COVID-19). However, the clinical relevance of SARS-CoV-2 RNAemia has not been well documented.

methodsWe conducted a cohort study on 95 confirmed COVID-19 patients and explored the prospects with evidence of SARS-CoV-2 RNAemia in association with various clinical characteristics. We performed reverse transcription-polymerase chain reaction and studied the risk factors of SARS-CoV-2 RNAemia using logistic regression analysis.

resultsThe presence of SARS-CoV-2 RNAemia in critical or fatal cases was the highest (66.7%), followed by severe (12.5%) and mild to moderate (1.7%) in admission samples. SARS-CoV-2 viral RNAemia was detected on admission and 1st week samples; however, RNAemia was not detected on the samples collected on the second week post-symptom onset. Multiple regression analysis showed that the severity of the disease was an independent predictor of RNAemia (

conclusionsOur study demonstrated that SARS-CoV-2 RNAemia is a predictive risk factor for clinical severity in COVID-19 patients. Hence, we showed that blood RNAemia might be a critical marker for disease severity and mortality.

Indexed as

COVID-19Cohort StudiesHumansPatient AcuityRNA, ViralSARS-CoV-2Viral LoadViremiaRNA, ViralCOVID-19logistic regression analysisRNAemiaSARS-CoV-2severity

Identifiers

PMID37515246
PMCPMC10386401
OpenAlexW4384557391

What OpenQuestion holds

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LicenceCC BY
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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.