Evidence map›Paper›PMID 39280326›Full record

ArticleNarra J2024

Role of ACE2 and TMPRSS2 polymorphisms on COVID-19 outcome and disease severity in adult patients: A prospective cohort study in a tertiary hospital, Indonesia.

Rina Yunita, Arlinda S Wahyuni, Bintang Ym Sinaga, Zulham Yamamoto, Amin Soebandrio, R Lia Kusumawati, Rosita J Sembiring, Pandiaman Pandia

Abstract read
In one paragraph

Article in Narra J, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Rina YunitaPhilosophy Doctor in Medicine Program, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Arlinda S WahyuniDepartment of Community Medicine, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Bintang Ym SinagaDepartment of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Zulham YamamotoDepartment of Histology, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Amin SoebandrioDepartment of Microbiology, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
R Lia KusumawatiDepartment of Microbiology, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Rosita J SembiringPhilosophy Doctor in Medicine Program, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Pandiaman PandiaDepartment of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) has led to a significant number of infections and deaths worldwide, yet its pathogenesis and severity remain incompletely understood. Angiotensin-converting enzyme 2 (ACE2) and transmembrane protease, serine 2 (TMPRSS2), play crucial roles as receptors and molecules responsible for the virus's entry into host cells, initiating the infection process. Their polymorphisms have been extensively studied in relation to COVID-19 severity. The aim of this study was to examine the association of

Indexed as

Angiotensin-Converting Enzyme 2COVID-19Polymorphism, Single NucleotideSerine EndopeptidasesSeverity of Illness IndexAdultAgedFemaleHumansIndonesiaMaleMiddle AgedProspective StudiesSARS-CoV-2Tertiary Care CentersACE2 protein, humanAngiotensin-Converting Enzyme 2Serine EndopeptidasesTMPRSS2 protein, humanACE2polymorphismrs12329760Rs2074192TMPRSS2

Identifiers

PMID39280326
PMCPMC11391966

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.