ArticleData in brief2023
Investigating the association between the COVID-19 vaccination and incident gastrointestinal symptomology: A comprehensive dataset.
Article in Data in brief, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Analysis of data of COVID lockdown period: Comorbidity and fatality rates in a few districts of Assam, India.Data in brief · 2024Article
- SARS-CoV-2 Infection, Vaccination, and Irritable Bowel Syndrome in Veterans: A Cross-Sectional Study.International journal of gastroenterology (New York, N.Y.) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The coronavirus disease of 2019 (COVID-19) pandemic created a variety of symptoms from mild to acute in the general population. Additional disease burden was experienced in high-risk populations, such as older adults, people with disabilities or overweight, those from racial and ethnic minority groups, and patients with cancer, chronic kidney, lung or liver disease, or diabetes. Although it is well-known that SARS-CoV-2 mostly affects the respiratory tract, studies have revealed the presence of gastrointestinal (GI) symptoms in those patients diagnosed with COVID-19. The best protection against infection is through receipt of the COVID-19 vaccine, which is associated with a low incidence of adverse events. However, there is limited research on the lesser-known side effects experienced following receipt of the COVID-19 vaccination, amongst healthy and special needs populations. This study investigated the association between the COVID-19 vaccination and, when it occurred, infection, and resulting gastrointestinal (GI) symptomology, focusing on both the general population and on those previously diagnosed with GI disorders, Irritable Bowel Syndrome (IBS) and Inflammatory Bowel Disease (IBD). Through a short, anonymous survey, 215 participants were assessed for acute onset of GI issues and/or worsening of pre-existing GI issues following the receipt of one or more COVID-19 vaccine doses and following contraction of COVID-19 itself, when applicable. All analyses were performed using SAS version 9.4, and prior to study initiation, the study protocol was reviewed and approved as exempt by the Stamford Hospital's Institutional Review Board of record. Data analysis included reporting of demographic variables as well as descriptive statistics regarding side effects experienced after receipt of the COVID-19 vaccine, as well as after contracting COVID-19, if it occurred. To assess for statistically significant differences between the groups, ANOVA was conducted for each survey item. Reporting of results consisted of the mean and standard deviation within each of the groups, and an omnibus
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What OpenQuestion holds
Registered trials
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.