Evidence map›Paper›PMID 35528814›Full record

ArticleThe Malaysian journal of medical sciences : MJMS2022

Association of Variants in

Luluk Yunaini, Edwina Khairat

Open access · diamondAbstract read
In one paragraph

Article in The Malaysian journal of medical sciences : MJMS, 2022. 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
0.4field-weighted citation impact, top 46% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Luluk YunainiDepartment of Medical Biology, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Edwina KhairatMaster's Programme in Biomedical Science, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
University of Indonesia · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Schizophrenia is a multifactorial disease in which genetic factors play a greater role than other factors. The genes of importance in schizophrenia patients are the genes that encode for neurotransmitters associated with low minor allele frequency (MAF) scores. This study was aimed to determine the association of genetic variations in Methods: Genotyping analysis through polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and PCR-amplification refractory mutation system (ARMS) was performed in 100 PS patients and 100 healthy controls. Chi-square and Fisher's exact tests were used to compare the frequencies of genotype and allotype between the PS and control groups. Odds ratio (OR) with 95% confidence interval (95% CI) were calculated to determine the relative risk of PS with respect to genetic variations. Results: Polymorphism rs13142920 in Conclusion: The

Indexed as

COMTGPM6Aparanoid schizophreniapolymorphismRASSF1

Identifiers

PMID35528814
PMCPMC9036935
OpenAlexW4224243683

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.