Evidence map›Paper›PMID 33724483›Full record

ArticleJournal of medical virology2021

An evaluation of patients with a previous endemic coronavirus infection during the COVID-19 pandemic.

Baris Otlu, Yusuf Yakupogullari, Elif S Tanriverdi, Yasar Bayindir

Abstract read
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. 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

4 authors.

Baris OtluDepartment of Medical Microbiology, Inonu University Medical Faculty, Malatya, Turkey.ORCID 0000-0002-6220-0521
Yusuf YakupogullariDepartment of Medical Microbiology, Inonu University Medical Faculty, Malatya, Turkey.ORCID 0000-0002-5545-3467
Elif S TanriverdiDepartment of Medical Microbiology, Inonu University Medical Faculty, Malatya, Turkey.ORCID 0000-0002-0449-0356
Yasar BayindirDepartment of Infectious Diseases and Clinical Microbiology, Inonu University Medical Faculty, Malatya, Turkey.ORCID 0000-0003-3930-774X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few studies exist on the clinical manifestation of coronavirus disease 2019 (COVID-19) in patients who previously had a common cold due to an endemic coronavirus (eCoV). In a retrospective scan of the data obtained in our microbiology laboratory, 64 patients who were diagnosed with an eCoV infection between 2016 and 2020 were identified. National COVID-19 surveillance data showed that four (6.2%) of 64 patients were infected with severe acute respiratory syndrome coronavirus 2 by the end of 2020, while, simultaneously, the COVID-19 prevalence in the city of Malatya ranged from 7.8% (polymerase chain reaction-based diagnosis) to 9.2% (total diagnosis). The differences were found statistically significant (6.2% vs. 7.8%, p < .01; 6.2% vs. 9.2%, p < .001). Patient interviews and evaluation of medical records revealed that these four patients did not manifest any severe COVID-19 symptoms despite their substantial comorbidities, and they did not require hospitalization. Consequently, despite a low number of samples, we determined a lower frequency of COVID-19 among the patients who had a prior eCoV infection, and the results of this study support the previous findings that people with a prior eCoV infection develop a milder case of COVID-19. Our results may provide some insights for future studies aiming at vaccine development, but detailed investigations are still required.

Indexed as

AdultCommon ColdComorbidityCOVID-19FemaleHospitalizationHumansMaleMiddle AgedPrevalenceSARS-CoV-2Severity of Illness IndexTurkeycoronaviruspandemicsrespiratory tractSARS coronavirus

Identifiers

PMID33724483
PMCPMC8251137

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.