Evidence map›Paper›PMID 39309472›Full record

ArticleAsian biomedicine : research, reviews and news2024

Evaluation of the relationship between

Raziye Akcilar, Fatma Emel Kocak, Fatih Kar, Ozben Ozden Isiklar, Sahinde Atlanoglu, Ozlem Genc, Fatima Yaman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Asian biomedicine : research, reviews and news, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Raziye AkcilarDepartment of Physiology, Kütahya Health Sciences University, Faculty of Medicine, Kutahya 43100, Turkey.
Fatma Emel KocakDepartment of Medical Biochemistry, Kütahya Health Sciences University, Faculty of Medicine, Kutahya 43100, Turkey.
Fatih KarDepartment of Basic Sciences, Kütahya Health Sciences University, Faculty of Natural and Engineering Sciences, Kutahya 43100, Turkey.
Ozben Ozden IsiklarDepartment of Medical Biochemistry, Kütahya Health Sciences University, Faculty of Medicine, Kutahya 43100, Turkey.
Sahinde AtlanogluDepartment of Radiology, Kütahya Health Sciences University, Faculty of Medicine, Kutahya 43100, Turkey.
Ozlem GencDepartment of Medical Microbiology, Kütahya Health Sciences University, Faculty of Medicine, Kutahya 43100, Turkey.
Fatima YamanDepartment of Physical Medicine and Rehabilitation, Kütahya Health Sciences University, Faculty of Medicine, Kutahya 43100, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The SARS-CoV-2 virus produces severe acute respiratory syndrome. The severity of coronavirus disease 2019 (COVID-19) infection is determined by a number of factors, including inherited ones. Objectives: Our goal is to investigate the link between Methods: A total of 160 COVID-19 patients were divided into 2 groups based on their clinical symptoms: those without lung involvement (control group) and those with lung involvement (infected group). The Results: The GG genotype, G allele of Conclusions: These results revealed that a greater frequency of COVID-19 lung involvement in the Turkish population was connected with the AA genotype, the A allele of

Indexed as

ACE2 G8790AAT2R A1675GCOVID-19gene polymorphismlung involvement

Identifiers

PMID39309472
PMCPMC11414776

What Socratic holds

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LicenceCC BY
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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 Socratic graph.