Evidence map›Paper›PMID 38155729›Full record

ArticleInternational journal of microbiology2023

Angiotensin-Converting Enzyme-2 (

Amal F Makled, Sahar A M Ali, S S Eldahdouh, Asmaa S Sleem, Maha M Eldahshan, Yara Elsaadawy, Samar S Salman, Asmaa Mohammed Elbrolosy

Open access · goldAbstract read
In one paragraph

Article in International journal of microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
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 at 2 institutions in 1 country.

Amal F MakledDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Menoufia University, Shebin al Kom, Egypt.ORCID https://orcid.org/0000-0002-2046-537X
Sahar A M AliDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Menoufia University, Shebin al Kom, Egypt.ORCID https://orcid.org/0000-0003-3885-0388
S S EldahdouhDepartment of Chest Diseases and Tuberculosis, Faculty of Medicine, Menoufia University, Shebin al Kom, Egypt.ORCID https://orcid.org/0000-0003-2882-2527
Asmaa S SleemDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Menoufia University, Shebin al Kom, Egypt.ORCID https://orcid.org/0000-0002-6464-787X
Maha M EldahshanDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Menoufia University, Shebin al Kom, Egypt.ORCID https://orcid.org/0009-0005-3827-7683
Yara ElsaadawyDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.ORCID https://orcid.org/0009-0003-2256-6806
Samar S SalmanDepartment of Clinical Pathology, Faculty of Medicine, Menoufia University, Shebin al Kom, Egypt.ORCID https://orcid.org/0009-0006-0207-8399
Asmaa Mohammed ElbrolosyDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Menoufia University, Shebin al Kom, Egypt.ORCID https://orcid.org/0000-0001-8196-4511
Menoufia University · EGAin Shams University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The host genetic background is a crucial factor that underlies the interindividual variability of COVID-19 fatality and outcomes. Angiotensin-converting enzyme-2 ( Results: The identified genotypes and their alleles were significantly correlated with COVID-19 clinical deterioration as follows: Conclusion:

Identifiers

PMID38155729
PMCPMC10754637
OpenAlexW4390042961

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.