Evidence map›Paper›PMID 39789435›Full record

ArticleBMC infectious diseases2025

Investigating the effectiveness of whole-virus, protein-based, and vector-based SARS-CoV-2 vaccines on the rates of COVID-19 infection, hospitalization, and mortality: a historical cohort study in Iran.

Davoud Tanbakuchi, Nadiasadat Taghavi Razavizadeh, Maryam Salari, Ehsan Mosa Farkhani, Mohammad Taghi Shakeri, Seyed Saeed Tabatabaee, Rasoul Raesi, Vahid Ghavami

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. 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

8 authors.

Davoud TanbakuchiDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Nadiasadat Taghavi RazavizadehDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Maryam SalariDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Ehsan Mosa FarkhaniDepartment of Epidemiology, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad Taghi ShakeriDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyed Saeed TabatabaeeSocial Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Rasoul RaesiDepartment of Public Health, School of Health, Torbat Jam Faculty of Medical Sciences, Torbat Jam, Iran.
Vahid GhavamiDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran. ghavamiv@mums.ac.ir.ORCID http://orcid.org/0000-0001-6358-0207

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEach of the Coronavirus disease 2019 (COVID-19) vaccines has its characteristics that can affect their effectiveness in preventing hospitalization and patient mortality. The present study aimed to determine the effectiveness of COVID-19 vaccines, including whole-virus, protein-based, and vector-based on COVID-19 infection, hospitalization, and mortality.

methodsThe current cohort study was conducted using the data of all people who received at least two doses of each type of COVID-19 vaccine from March 2020 to August 2022 in Khorasan Rzavi province. Quantitative data were characterized using measures of central tendency and dispersion, while the risks of infection, hospitalization, and mortality were assessed for each type of vaccine. Logistic regression was employed to evaluate the effect of various vaccine types on infection rate, hospitalization, and mortality while adjusting for other independent variables.

resultsIn this study, over 2 million vaccinated individuals had received at least two doses of the COVID-19 vaccine. Whole-virus vaccines, which had an infection rate of 3%, a hospitalization rate of 1.4%, and a mortality rate of 0.2%, were the most effective vaccines. The study also identified several factors associated with an increased risk of COVID-19 infection, hospitalization, and mortality, including kidney disease, cardiovascular disease, respiratory issues, age, sex, diabetes, olfactory dysfunction, fever, chills, body mass index (BMI), and the type of vaccine.

conclusionThis study highlights the substantial impact of COVID-19 vaccination in reducing infection, hospitalization, and mortality rates in Iran. The results support the use of whole-virus and vector-based vaccines as more effective options for preventing COVID-19 outcomes. The study also emphasizes the importance of considering various factors, including medical history and side effects, when evaluating the effectiveness of different vaccine types. The findings of this study can inform public health policy and vaccination strategies in Iran and other countries.

Indexed as

COVID-19COVID-19 VaccinesHospitalizationSARS-CoV-2AdolescentAdultAgedChildChild, PreschoolCohort StudiesFemaleHumansIranMaleMiddle AgedVaccinationCOVID-19 VaccinesCOVID-19HospitalizationInfectionProteinVaccineVectorVirusWhole-virus

Identifiers

PMID39789435
PMCPMC11721232

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.