Evidence map›Paper›PMID 34353284›Full record

ArticleBMC infectious diseases2021

Dynamic profile of SARS-CoV-2 infection among hospitalized patients in Kuwait: a descriptive study.

Nada Madi, Ebaa' Al-Awadhi, Fajer Al-Assaf

Abstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Nada MadiVirology Unit, Department of Microbiology, Faculty of Medicine, Kuwait University, Kuwait City, Kuwait. nada.madi@ku.edu.kw.ORCID http://orcid.org/0000-0002-4654-544X
Ebaa' Al-AwadhiJaber Al-Ahmad Al-Sabah Hospital, Ministry of Health, Kuwait City, Kuwait.
Fajer Al-AssafAl-Farwaniya Hospital, Ministry of Health, Kuwait City, Kuwait.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus induced disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Wuhan (China) in December 2019 is currently spreading rapidly worldwide. This study aimed to analyze the dynamic profile of SARS-CoV-2 infection among hospitalized patients that would characterize the period of viral shedding and detection among patients.

methodsRetrospectively, 103 confirmed SARS-CoV-2 patients hospitalized at Jaber hospital in Kuwait were included. Demographic and clinical characteristics of the patients were collected. Nasopharyngeal swabs were obtained at different time intervals and analyzed by Real-Time RT-PCR for SARS-CoV-2 infection.

resultsOf 103 hospitalized patients with SARS-CoV-2 infection, the median age was 41 years, and 64% were male. The median period from admission to the positive SARS-CoV-2 RT-PCR test was 19 days (IQR, 13-22). The median period from admission to active negative SARS-CoV-2 RT-PCR test result was 22 days (IQR, 16-26). Older patients, patients with comorbidities, and patients with symptoms were more likely to have extended viral shedding.

conclusionFor the first time, this descriptive study conducted in Kuwait on SARS-CoV-2 RT-PCR test results from 103 patients positive for SARS-provided solid proof and a good understanding of the dynamic profile of SARS-CoV-2 infection among patients in Kuwait. This information will further enrich the global knowledge on the emerging SARS-CoV-2.

Indexed as

COVID-19AdolescentAdultAgedChildChild, PreschoolFemaleHospitalizationHumansInfantKuwaitMaleMiddle AgedPandemicsRetrospective StudiesVirus SheddingCOVID-19KuwaitRT-PCRSARS-CoV-2

Identifiers

PMID34353284
PMCPMC8340481

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.