Evidence map›Paper›PMID 35645215›Full record

ArticleInfectious disease reports2022

COVID-19 Severity among Healthcare Workers: Overweight Male Physicians at Risk.

Bahar Madran, Zeliha Akbulut, Gözde Akbaba, Emre Taş, Tuğba Güçlüoğlu, Özgür Şencanlı, İsmail Bozkurt, Şiran Keske, Önder Ergönül

Abstract read
In one paragraph

Article in Infectious disease reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Bahar MadranInfection Control Unit, VKV American Hospital, Istanbul 34365, Turkey.ORCID 0000-0002-3417-5998
Zeliha AkbulutInfection Control Unit, Koç University Hospital, Istanbul 34010, Turkey.
Gözde AkbabaInfection Control Unit, VKV American Hospital, Istanbul 34365, Turkey.
Emre TaşInfection Control Unit, Koç University Hospital, Istanbul 34010, Turkey.
Tuğba GüçlüoğluInfection Control Unit, Koç University Hospital, Istanbul 34010, Turkey.
Özgür ŞencanlıOccupational Safety Unit, VKV American Hospital, Istanbul 34365, Turkey.
İsmail BozkurtHospital Management Department, VKV American Hospital, Istanbul 34365, Turkey.
Şiran KeskeInfectious Diseases and Clinical Microbiology, School of Medicine, Koç University, Istanbul 34010, Turkey.
Önder ErgönülInfectious Diseases and Clinical Microbiology, School of Medicine, Koç University, Istanbul 34010, Turkey.ORCID 0000-0003-1935-9235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We performed a prospective longitudinal cohort study in two healthcare settings. In total, 909 HCWs out of 3982 (23.35%) were diagnosed with COVID-19 before the vaccination era. Eighty-five per cent of COVID-19 positive HCWs (n = 774) were asymptomatic or mild, and 15% were moderate or severe. The mean age of the infected HCWs in the moderate or severe group was higher than the mild or asymptomatic group (35.4 vs. 31.3 years, p < 0.001). Thirty-two per cent of HCWs were male and the rate of male gender was more frequent in the moderate/severe group (p = 0.009). The rate of those who have cardiovascular diseases (p = 0.003) and diabetes mellitus (p = 0.044) were significantly higher among the HCWs with moderate or severe COVID-19. In multivariate analysis, male gender (OR:1.65, CI:1.11−2.46, p = 0.013), BMI > 30 (OR: 1.9, CI: 1.09−3.51, p = 0.024), and being physician (OR: 2.56, CI:1.45−4.52, p = 0.001) were found to be associated with moderate or severe COVID-19.

Indexed as

COVID-19healthcare workerspandemicseverity predictors

Identifiers

PMID35645215
PMCPMC9149914

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.