Evidence map›Paper›PMID 40034661›Full record

ArticleTherapeutic advances in vaccines and immunotherapy2025

Serious adverse events following immunization and predictors of mortality associated with COVID-19 vaccination in India: a secondary data analysis of nationwide causality assessments.

Abin Kulathunkal Rajan, Md Abu Bashar

Abstract read
In one paragraph

Article in Therapeutic advances in vaccines and immunotherapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Abin Kulathunkal RajanDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Gorakhpur, Uttar Pradesh, India.ORCID https://orcid.org/0000-0002-3840-6722
Md Abu BasharDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Room No. 229, Gorakhpur, Uttar Pradesh 273008, India.ORCID https://orcid.org/0000-0002-0868-8335

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Vaccines against COVID-19 were viewed as a way out to the ongoing pandemic and were given the emergency use authorization in India to initiate mass vaccination in January 2021. This study aimed to investigate the serious adverse events following immunizations (AEFIs) reported for COVID-19 vaccines and to identify predictors of mortality among these cases from India. Methods: A secondary data analysis was conducted on the causality assessment reports for the 2708 serious AEFIs published by the National AEFI Committee under the Immunization Division, Ministry of Health and Family Welfare, Government of India. The analysis included all 21 reports published up until May 2023. The primary outcome variable analyzed was the survival/death status of each AEFI case, with various covariates from the published documents considered in the analysis. Results: The majority of the serious AEFIs assessed were either coincidental (1220, 45%) or undetermined/unclassifiable (781, 28.8%). The majority of the serious AEFIs were reported among recipients of Covishield (1891, 69.8%) followed by Covaxin (347, 12.8%). Among these, 1114 (42.1%) died while the remaining 1594 (58.9%) were hospitalized and recovered. Systematically, AEFIs involving the cardiovascular system (696, 31.3%) were the most common, followed by those affecting the respiratory system (288, 13%) and neuropsychiatric system (295, 13.3%) which had a significant association with age ( Conclusion: Among the cohort of serious AEFIs reported, older age, male sex, undetermined or unclassifiable causality classification, and involvement of the cardiovascular system were associated with significantly higher odds of mortality and require close monitoring following vaccination.

Indexed as

adverse events following immunizationcausality assessmentCOVID-19 vaccinemortalitypredictors

Identifiers

PMID40034661
PMCPMC11873861

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