Evidence map›Paper›PMID 35940202›Full record

Observational studyThe American journal of tropical medicine and hygiene2022

Determinants of COVID-19 Breakthrough Infections and Severity in ChAdOx1 nCoV-19-Vaccinated Priority Groups.

Upinder Kaur, Sapna Bala, Bisweswar Ojha, Bhairav Kumar Pathak, Aditi Joshi, Ashish Kumar Yadav, Anup Singh, Sangeeta Kansal, Sankha Shubhra Chakrabarti

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in The American journal of tropical medicine and hygiene, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 2 institutions in 1 country.

Upinder KaurDepartment of Pharmacology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Sapna BalaDepartment of Geriatric Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Bisweswar OjhaDepartment of Pharmacology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Bhairav Kumar PathakDepartment of Pharmacology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Aditi JoshiInstitute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Ashish Kumar YadavCentre for Biostatistics, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Anup SinghDepartment of Geriatric Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Sangeeta KansalDepartment of Community Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Sankha Shubhra ChakrabartiDepartment of Geriatric Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Institute of Medical Sciences · INBanaras Hindu University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current analysis is a part of an ongoing observational study that began in February 2021 in the Sir Sunder Lal Hospital (Varanasi, Uttar Pradesh) in northern India and is expected to continue until June 2022. This analysis aimed to delineate the clinical presentation and risk factors of occurrence and severity of COVID-19 in vaccinated individuals. The study enrolled health-care workers and the elderly receiving the COVID-19 vaccine at one of three centers linked to the study hospital. The participants received the ChAdOx1 nCoV-19 (Oxford-AstraZeneca) vaccine based on the chimpanzee adenovirus platform (manufactured in India by the Serum Institute of India). The adenovirus codes for the spike (S) protein of SARS-CoV-2. Participants were contacted by phone at pre-decided intervals and questioned about the occurrence of COVID-19, clinical presentation, severity, and persistence of symptoms. A logistic regression analysis was performed to predict the risk factors of occurrence and severity of COVID-19. Of the 1,500 participants included in the analysis, 418 developed COVID-19 (27.9%). Fever was the most common symptom (72%), followed by cough (34%) and rhinitis (26%). Cardiovascular involvement was seen in more than 2% of individuals, and 11% had post-COVID-19 complaints. Regression analysis showed 1.6 times greater odds of contracting the disease in females and in those younger than 40 years, 1.4 times greater odds in individuals who were overweight, and 2.9 times greater odds in those receiving only one dose, compared with respective comparators. Individuals receiving two doses at a gap of ≤ 30 days had 6.7 times greater odds of infection than those receiving at a > 60-day interval. There was no association between COVID-19 occurrence in the vaccinees and pre-vaccination history of SARS-CoV-2 infection. Males were at a 3.6 times greater risk, and persons with preexisting lung disease-mainly asthma-had a 5.9 times greater risk of experiencing moderate to severe COVID-19 than comparators. While an extended interval between the two vaccine doses seems to be a better strategy, gender differences and an association of asthma phenotypes with COVID-19 need to be explored.

Indexed as

AsthmaCOVID-19Breakthrough InfectionsChAdOx1 nCoV-19COVID-19 VaccinesFemaleHumansMaleSARS-CoV-2VaccinationChAdOx1 nCoV-19COVID-19 Vaccines

Identifiers

PMID35940202
PMCPMC9651529
OpenAlexW4290648780

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.