Evidence map›Paper›PMID 36572376›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2023

Effectiveness of COVID-19 vaccines on hospitalization and death in Guilan, Iran: a test-negative case-control study.

Abtin Heidarzadeh, Mohammadreza Amini Moridani, Saman Khoshmanesh, Samira Kazemi, Marziyeh Hajiaghabozorgi, Manoochehr Karami

Abstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Molnupiravir for treatment of adults with mild or moderate COVID-19: a systematic review and meta-analysis of randomized controlled trials.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2023
    Pooled it
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  17. Exploring the experience of developing COVID-19 vaccines in Iran.Clinical and experimental vaccine research · 2023
    Review
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

6 authors.

Abtin HeidarzadehDepartment of Community Medicine, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran. Electronic address: abtinh@gmail.com.
Mohammadreza Amini MoridaniDeputy of Health, Guilan University of Medical Sciences, Rasht, Iran. Electronic address: Mohammad.amini@gums.ac.ir.
Saman KhoshmaneshDeputy of Health, Guilan University of Medical Sciences, Rasht, Iran. Electronic address: khoshmaneshsaman@gmail.com.
Samira KazemiDepartment of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran. Electronic address: kazemisamira75@gmail.com.
Marziyeh HajiaghabozorgiDeputy of Health, Guilan University of Medical Sciences, Rasht, Iran. Electronic address: Bozorgi_arezoo@yahoo.com.
Manoochehr KaramiSchool of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: Man.karami@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe present study was conducted to estimate the effectiveness of (BBIBP)-CorV (Sinopharm), ChAdOx1-S/nCoV-19 (AZD1222, Oxford-AstraZeneca), rAd26-rAd5 (Gam-COVID-Vac, Sputnik V), and BIV1-CovIran (COVIran Barekat) and BBV152 COVAXIN (Bharat Biotech) vaccines against hospitalization and death of COVID-19 in Guilan Province of Iran from May 22 to December 21, 2021.

methodsThis test-negative case-control study was conducted on the population aged 5 years and above by extracting information from local databases (The Medical Care Monitoring Center and The Integrated Health System). A logistic regression analysis was performed to estimate the effectiveness of the vaccines against COVID-19 hospitalization and death.

resultsThe total study population was 42,084, including 19,500 cases (with a positive Reverse Transcriptase-Polymerase Chain Reaction test admitted to hospitals in Guilan Province) and 22,586 controls (with a negative Reverse Transcriptase-Polymerase Chain Reaction test). Among the admitted patients, 1887 deaths occurred. The maximum effectiveness of BBIBP-CorV (Sinopharm) in preventing temporary hospitalization and regular hospitalization was observed 151 days after receiving the second dose, 95% (95% CI: 67-99.4%) and 85% (95% CI: 77-91%) respectively. The maximum effectiveness of the BBIBP-CorV (Sinopharm) vaccine 91-120 days after receiving the second dose against death was showed 56% (95% CI: 33-71%). The maximum effectiveness of ChAdOx1-S/nCoV-19 (AZD1222, Oxford-AstraZeneca) and BIV1-CovIran (COVIran Barekat) in preventing regular hospitalization and death was observed 121-150 and 61-90 days (respectively) after receiving the second dose, reaching 98% (95% CI: 94-99%) and 92% (95% CI: 48-99%), respectively for ChAdOx1-S/nCoV-19 and 95% (95% CI: 91-97%) and 89% (95% CI: 55-98%) respectively, for BIV1-CovIran.

conclusionFor almost all vaccines, the study observed an increase in effectiveness against hospitalization and death over time.

Indexed as

COVID-19COVID-19 VaccinesHospitalizationCase-Control StudiesChAdOx1 nCoV-19HumansIranRNA-Directed DNA PolymeraseSARS-CoV-2Vaccines, InactivatedBBV152 COVID-19 vaccineBIBP COVID-19 vaccineChAdOx1 nCoV-19COVID-19 VaccinesRNA-Directed DNA PolymeraseVaccines, InactivatedCOVID-19EffectivenessPandemicVaccine

Identifiers

PMID36572376
PMCPMC9788848

What OpenQuestion holds

Textmetadata
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.