Evidence map›Paper›PMID 34307694›Full record

ArticleJournal of immunology research2021

Effects of Immune System-Related Medications on COVID-19 Outcome in a Cohort of Iranian Patients: Preliminary Report of a Data Mining Study.

Ehsan Bitaraf, Seyyed Amir Yasin Ahmadi, Alireza Gandomi-Mohammadabadi, Zahra Noorani Mejareh, Bahare Abdollahi, Javad Balasi, Farzan Moodi, Nima Hemmati, Ali Kabir

Abstract read
In one paragraph

Article in Journal of immunology research, 2021. 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

9 authors.

Ehsan BitarafCenter for Statistics and Information Technology, Central Library, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-6588-7349
Seyyed Amir Yasin AhmadiStudent Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-9274-7408
Alireza Gandomi-MohammadabadiStudent Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-2967-4722
Zahra Noorani MejarehStudent Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-0530-6159
Bahare AbdollahiStudent Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-8154-1284
Javad BalasiStudent Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-1588-5169
Farzan MoodiStudent Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-5573-4341
Nima HemmatiMinimally Invasive Surgery Research Center, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-7297-550X
Ali KabirMinimally Invasive Surgery Research Center, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-9496-4705

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRegulation of the immune system is critical for fighting against viral infections. Both suppression and hyperactivity of the immune system result in failure of treatment. The present study was designed to show the effects of immune system-related medications on mortality and length of stay (LOS) in a cohort of Iranian patients with coronavirus disease 2019 (COVID-19).

methodsA data mining study was performed on 6417 cases of COVID-19 covered by 17 educational hospitals of Iran University of Medical Sciences, Tehran. Association of a researcher-designed drug list with death and LOS was studied. For death outcome, logistic regression was used reporting odds ratio (OR) with 95% confidence interval (CI). For LOS, right censored Poisson regression was used reporting incidence rate ratio (IRR) with 95% CI.

resultsAmong the corticosteroids, prednisolone was a risk factor on death (OR = 1.41, 95%CI = 1.03 - 1.94). This association was increased after adjustment of age interactions (OR = 3.45, 95%CI = 1.01 - 11.81) and was removed after adjustment of ICU admission interactions (OR = 2.64, 95%CI = 0.70 - 9.92). Hydroxychloroquine showed a protecting effect on death (OR = 0.735, 95%CI = 0.627 - 0.862); however, this association was removed after adjustment of age interactions (OR = 0.76, 95%CI = 0.41 - 1.40). Among the antivirals, oseltamivir showed a protecting effect on death (OR = 0.628, 95%CI = 0.451 - 0.873); however, this association was removed after adjustment of age interactions (OR = 0.45, 95%CI = 0.11 - 1.82). For reduction of LOS, the only significant association was for hydroxychloroquine (IRR = 0.85, 95%CI = 0.79 - 0.92).

conclusionThe results of such data mining studies can be used in clinics until completing the evidence. Hydroxychloroquine may reduce mortality in some specific groups; however, its association may be confounded by some latent variables and unknown interactions. Administration of corticosteroids should be based on the conditions of each case.

Indexed as

COVID-19 Drug TreatmentPandemicsSARS-CoV-2Adjuvants, ImmunologicAdolescentAdultAgedAged, 80 and overAnti-Bacterial AgentsAntiviral AgentsChildChild, PreschoolCohort StudiesCOVID-19Data MiningFemaleAdjuvants, ImmunologicAnti-Bacterial AgentsAntiviral AgentsImmunologic FactorsImmunosuppressive Agents

Identifiers

PMID34307694
PMCPMC8254655

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LicenceCC BY
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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.