Evidence map›Paper›PMID 36860855›Full record

ArticleFrontiers in immunology2023

Risk of hospitalization and vaccine effectiveness among COVID-19 patients in the UAE during the Delta and Omicron outbreaks.

Mohammed Albreiki, Mira Mousa, Syafiq Kamarul Azman, Hema Vurivi, Zainab Alhalwachi, Fatima Alshehhi, Safiya AlShamsi, Nada Al Marzouqi, Tayba Alawadi, Hussain Alrand and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.7field-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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 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

13 authors at 5 institutions in 2 countries.

Mohammed AlbreikiCenter for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Mira MousaCenter for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Syafiq Kamarul AzmanDepartment of Electrical Engineering and Computer Science, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Hema VuriviCenter for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Zainab AlhalwachiCenter for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Fatima AlshehhiPublic Health Sector, Ministry of Health and Prevention, Dubai, United Arab Emirates.
Safiya AlShamsiNational Center for Health Research, Ministry of Health and Prevention, Dubai, United Arab Emirates.
Nada Al MarzouqiPublic Health Sector, Ministry of Health and Prevention, Dubai, United Arab Emirates.
Tayba AlawadiPublic Health Sector, Ministry of Health and Prevention, Dubai, United Arab Emirates.
Hussain AlrandPublic Health Sector, Ministry of Health and Prevention, Dubai, United Arab Emirates.
Abderrahim OulhajCollege of Medicine and Health Sciences, Khalifa University, Abu Dhabi, United Arab Emirates.
Asma FikriNational Center for Health Research, Ministry of Health and Prevention, Dubai, United Arab Emirates.
Habiba AlsafarCenter for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Khalifa University of Science and Technology · AEMinistry of Health · AEEmirates Foundation · AEUniversity of Oxford · GBUniversity of Sharjah · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A rapid increase in COVID-19 cases due to the spread of the Delta and Omicron variants in vaccinated populations has raised concerns about the hospitalization risk associated with, and the effectiveness of, COVID-19 vaccines. Method: This case-control study aims to determine the hospitalization risk associated with the inactivated BBIBP-CorV (Sinopharm) and mRNA BNT162b2 (Pfizer-BionTech) vaccines, and their effectiveness reducing the rate of hospital admission between 28 May 2021 and 13 January 2022, during the Delta and Omicron outbreaks. The estimation of vaccine effectiveness of 4,618 samples was based on the number of patients hospitalized at different vaccination statuses, adjusted for confounding variables. Results: Hospitalization risk increases in patients affected with the Omicron variant if patients are aged ≤ 18 years (OR 6.41, 95% CI 2.90 to 14.17; p < 0.001), and in patients affected with the Delta variant if they are aged > 45 years (OR 3.41, 95% CI 2.21 to 5.50; p < 0.001). Vaccine effectiveness reducing the rate of hospital admission for fully vaccinated participants infected with the Delta and Omicron variants was similar for both the BBIBP-CorV (94%, 95% CI 90% to 97%; 90%, 95% CI 74% to 96%) and BNT162b2 vaccines (95%, 95% CI 61% to 99.3%; 94%, 95% CI 53% to 99%), respectively. Discussion: The BBIBP-CorV and BNT162b2 vaccines utilized in the UAE vaccination program were highly effective in reducing the rate of COVID-19-related hospitalization during the Delta and Omicron outbreaks, and further effort must be taken to achieve high vaccine coverage rates in children and adolescents in the global context to reduce the hospitalization risk associated with COVID-19 on an international scale.

Indexed as

COVID-19COVID-19 VaccinesAdolescentBNT162 VaccineCase-Control StudiesChildDisease OutbreaksHospitalizationHumansSARS-CoV-2Vaccine EfficacyVaccines, InactivatedBIBP COVID-19 vaccineBNT162 VaccineCOVID-19 VaccinesVaccines, InactivatedCOVID-19DeltahospitalizationOmicronSARS-CoV-2UAEvaccine effectiveness

Identifiers

PMID36860855
PMCPMC9969353
OpenAlexW4320496995

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.