Evidence map›Paper›PMID 35721432›Full record

ArticleIJID regions2022

Rates, types, and associated factors of acute adverse effects after the first dose of ChAdOx1 nCoV-19 vaccine administration in Thailand.

Sirapat Arthur Watcharananan, Chalermlap Nadee, Patis Kongsuwattanaleart, Nussara Sangthong, Punpen Ngorsakun, Pornpimon Vimonvattaravetee, Angsana Phuphuakrat, Umaporn Udomsubpayakul

Abstract read
In one paragraph

Article in IJID regions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Sirapat Arthur WatcharanananChoate Rosemary Hall, Wallingford, Connecticut, USA.
Chalermlap NadeePraram 9 Hospital, Bangkok, Thailand.
Patis KongsuwattanaleartPraram 9 Hospital, Bangkok, Thailand.
Nussara SangthongPraram 9 Hospital, Bangkok, Thailand.
Punpen NgorsakunPraram 9 Hospital, Bangkok, Thailand.
Pornpimon VimonvattaraveteePraram 9 Hospital, Bangkok, Thailand.
Angsana PhuphuakratPraram 9 Hospital, Bangkok, Thailand.
Umaporn UdomsubpayakulDepartment of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Effective vaccines are prioritized to curtail the transmission and burden of coronavirus disease 2019. Nevertheless, monitoring the safety of vaccines is crucial. As Thailand began the ChAdOx1 nCoV-19 vaccination, our study examined the acute adverse effects and associated factors after the first dose of vaccination. Methods: A mobile self-report questionnaire was employed to assess the rates and types of different side-effects within 3 days of the first dose of ChAdOx1 nCoV-19 vaccine administration. The risk factors associated with these side-effects were analyzed. Results: In total, 774 participants were included in the survey, with a mean (± standard deviation) age of 49.5 (± 17.2) years. The majority (57.8%) were females, and 59.1% were anxious before the vaccination. Side-effects after the vaccination were a common occurrence (65.2%), but most (42.6%) were mild. Side-effects were significantly associated (odds ratio [95% confidence interval]) with younger age (4.32 [2.26-8.23]; Conclusions: After the ChAdOx1 nCoV-19 vaccination, most acute adverse effects were mild and often noted among participants with younger age, female sex, anxiousness, and allergic disease.

Indexed as

adverse effectassociated factorChAdOx1 nCoV-19COVID-19vaccine

Identifiers

PMID35721432
PMCPMC8626869

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.