Evidence map›Paper›PMID 35991020›Full record

Observational studyFrontiers in public health2022

Analysis of potential risk factors associated with COVID-19 and hospitalization.

Abdul-Hakeem Moazi Alharbi, Syed Imam Rabbani, Ashraf Abdel Halim Mohamed, Basil Khalid Almushayti, Nasser Ibrahim Aldhwayan, Ali Tami Almohaimeed, Abdullah Abdulrhman Alharbi, Naif Saad Alharbi, Syed Mohammed Basheeruddin Asdaq, Abdulhakeem S Alamri and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  6. Review
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  11. Effect of vaccination on COVID-19 hospitalizations and mortality.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2023
    Article
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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

12 authors at 4 institutions in 2 countries.

Abdul-Hakeem Moazi AlharbiCollege of Pharmacy, Qassim University, Buraydah, Saudi Arabia.
Syed Imam RabbaniDepartment of Pharmacology and Toxicology, College of Pharmacy, Qassim University, Buraydah, Saudi Arabia.
Ashraf Abdel Halim MohamedConsultant Pulmonologist, Buraidah Central Hospital, Buraidah, Saudi Arabia.
Basil Khalid AlmushaytiCollege of Pharmacy, Qassim University, Buraydah, Saudi Arabia.
Nasser Ibrahim AldhwayanCollege of Pharmacy, Qassim University, Buraydah, Saudi Arabia.
Ali Tami AlmohaimeedCollege of Pharmacy, Qassim University, Buraydah, Saudi Arabia.
Abdullah Abdulrhman AlharbiCollege of Pharmacy, Qassim University, Buraydah, Saudi Arabia.
Naif Saad AlharbiCollege of Pharmacy, Qassim University, Buraydah, Saudi Arabia.
Syed Mohammed Basheeruddin AsdaqDepartment of Pharmacy Practice, College of Pharmacy, AlMaarefa University, Riyadh, Saudi Arabia.
Abdulhakeem S AlamriDepartment of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Walaa F AlsanieDepartment of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Majid AlhomraniDepartment of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Qassim University · SATaif University · SAAlfaisal University · SAZagazig University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) was found to cause complications in certain groups of people, leading to hospitalization. Several factors have been linked to this, such as gender, age, comorbidity, and race. Understanding the precise reasons for the COVID-19-induced complications might help in designing strategies to minimize hospitalization. A retrospective, cross-sectional observational study was conducted for patients in a COVID-19-designated specialty hospital after obtaining ethical clearance. Patients' demographic and clinical characteristics, such as age, gender, race, vaccinated status, complications, comorbidities, and medications, were retrieved from the hospital medical database. The data were statistically analyzed to determine the association between the predictors and the outcomes of COVID-19. An odds ratio (both unadjusted and adjusted) analysis was carried out to determine the risk factors for hospitalization [non-intensive care (non-ICU) and intensive care (ICU)] due to COVID-19. The data from the study indicated that the majority of patients hospitalized due to COVID-19 were male (>55%), aged > 60 years (>40%), married (>80%), and unvaccinated (>71%). The common symptoms, complications, comorbidities, and medications were fever, pneumonia, hypertension, and prednisolone, respectively. Male gender, patients older than 60 years, unemployed, unvaccinated, complicated, and comorbid patients had an odds ratio of more than 2 and were found to be significantly (

Indexed as

COVID-19Diabetes Mellitus, Type 2HypertensionCross-Sectional StudiesFemaleHospitalizationHumansIntensive Care UnitsMalePandemicsPrednisoloneRetrospective StudiesRisk FactorsSARS-CoV-2PrednisolonecomplicationsCOVID-19hospitalizationmedicationsrisk factors

Identifiers

PMID35991020
PMCPMC9389402
OpenAlexW4289884316

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.