Evidence map›Paper›PMID 35845298›Full record

ArticleGastroenterology and hepatology from bed to bench2022

Prevalence and outcome of COVID-19 among Iranian celiac patients.

Fahimeh Sadat Gholam-Mostafaei, Nastaran Asri, Naser Parvani, Elham Aghamohammadi Khamene, Farnoosh Barzegar, Mohammad Rostami-Nejad, Mostafa Rezaei-Tavirani, Bijan Shahbazkhani, Somayeh Jahani-Sherafat, Kamran Rostami and 1 more

Open access · greenAbstract read
In one paragraph

Article in Gastroenterology and hepatology from bed to bench, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  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

11 authors at 1 institution in 1 country.

Fahimeh Sadat Gholam-MostafaeiGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Nastaran AsriBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Naser ParvaniGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Elham Aghamohammadi KhameneBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Farnoosh BarzegarBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad Rostami-NejadGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mostafa Rezaei-TaviraniProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Bijan ShahbazkhaniDepartment of Gastroenterology and Liver Diseases, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Iran.
Somayeh Jahani-SherafatLaser Application in Medical Sciences Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Kamran RostamiDepartment of Gastroenterology Mid-Central District Health Board, Palmerston North, New Zealand.
Mohammad Reza ZaliGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study aimed to evaluate the prevalence and outcome of COVID-19 among Iranian celiac disease patients. Background: Patients with celiac disease (CD) might be at greater risk for opportunistic viral infections. Coronavirus disease-2019 (COVID-19) is a new coronavirus (SARS-CoV-2) cause of respiratory disorder which spread around the world at the end of 2019. The question is does COVID-19 infection increase the risk of severe outcome and/or a higher mortality in treated celiac disease?. Methods: Data regarding demographic details, clinical history, and COVID-19 infection symptoms among treated celiac disease patients was collected from July 2020 to January 2021 and analyzed using SPSS version 25. Results: A total of 455 celiac disease patients were included in this study. The prevalence of Covid-19 infection among celiac disease patients was 2.4%. Infection among women (72.7%) was higher than the men, and only one overweight man who smoked was hospitalized. Among COVID-19 infected celiac disease patients, the most common symptoms were myalgia 90.9% (10/11), fever, body trembling, headache, shortness of breath, loss of smell and taste, and anorexia (72.7%). Treatments for COVID-19, included antibiotics (90.9%), pain analgesics (54.5%), antihistamines (27.3%), antivirals (9.1%) and hydroxychloroquine (9.1%). Conclusion: This study shows that treated celiac disease is not a risk factor for severity or higher mortality in patients infected with COVID-19. Women, however, might need extra-protection to prevent COVID-19 infection.

Indexed as

Celiac diseaseCovid-19InfectionsSARS-CoV-2

Identifiers

PMID35845298
PMCPMC9275738
OpenAlexW4285817966

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LicenceCC BY
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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.