Evidence map›Paper›PMID 37521445›Full record

ArticleHuman gene (Amsterdam, Netherlands)2022

The association of ACE I/D polymorphism with the severity of COVID-19 in Iranian patients: A case-control study.

Javad Soltani Rezaiezadeh, Javad Safdari Lord, Mir Saeed Yekaninejad, Pantea Izadi

Open access · greenAbstract read
In one paragraph

Article in Human gene (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. The I/D variant of theFuture science OA · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
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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

4 authors at 2 institutions in 1 country.

Javad Soltani RezaiezadehDepartment of Medical Genetics, School of Medicine, Tehran University of Medical Sciences and Health Services, Tehran, Islamic Republic of Iran.
Javad Safdari LordDepartment of Medical Genetics, School of Medicine, Tehran University of Medical Sciences and Health Services, Tehran, Islamic Republic of Iran.
Mir Saeed YekaninejadDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences and Health Services, Tehran, Islamic Republic of Iran.
Pantea IzadiDepartment of Medical Genetics, School of Medicine, Tehran University of Medical Sciences and Health Services, Tehran, Islamic Republic of Iran.
Iran University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Since the beginning of the COVID-19 pandemic, researchers have tried to find the reason behind the variety of the symptoms and disease severity among patients. It seems that genetic background may contribute in severity of this infection. The renin-angiotensin system (RAS) is involved in the pathogenesis of COVID-19. An Insertion/Deletion (I/D) polymorphism in the ACE1 gene may explain the genetic risk for disease severity. Methods: We genotyped 251 COVID-19 patients: 151 patients with mild or asymptomatic disease compared with 100 patients with severe to critical illness (without any comorbidities for the disease severity). Results: There was a significant association between the ACE1 DD genotype and disease severity ( Conclusion: We concluded that ACE1 DD genotype can predict the risk of severe form of COVID-19 infection in the absence of known comorbidities as disease severity risk factors. Further studies with larger sample sizes in other populations are still needed to clarify the role of ACE I/D polymorphism in SARS-CoV-2 infection severity.

Indexed as

ACECovid-19Insertion-deletionPolymorphism

Identifiers

PMID37521445
PMCPMC9364667
OpenAlexW4291278296

What OpenQuestion holds

Textmetadata
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.