Evidence map›Paper›PMID 38799118›Full record

ArticleJournal of immunology research2024

HLA-DQB1 Allele Polymorphism Associated with Oral Submucous Fibrosis in Hunan, China.

Yisi Tan, Yuting Huang, Linkai Guo, Linghang Zhou, Keke Zhu, Yuancong Li, Jin Tan

Abstract read
In one paragraph

Article in Journal of immunology research, 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.

Yisi TanThe College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, China.ORCID https://orcid.org/0000-0002-9817-7634
Yuting HuangThe First Clinical College of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410007, China.
Linkai GuoThe First Clinical College of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410007, China.
Linghang ZhouThe First Clinical College of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410007, China.
Keke ZhuDepartment of Stomatology, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410007, China.
Yuancong LiDepartment of Stomatology, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410007, China.
Jin TanDepartment of Stomatology, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410007, China.ORCID https://orcid.org/0000-0002-7012-1858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods: 44 OSF patients and 44 healthy volunteers were included in this study. To detect the expression frequency of HLA-DQB1 alleles in the two groups and analyze significant allelic subtypes and their relative risk, polymerase chain reaction (PCR) sequence-specific primers were used. Subsequently, based on the identification of differential genes, we compare the gene expression levels of OSF patients and healthy volunteers expressing differential genes by real-time quantitative PCR. Results: The expression frequency of the HLA-DQB1 Conclusions: There are differences in the HLA-DQB1 allele polymorphisms between the healthy population and patients with oral submucosal fibrosis. Preliminarily, it is suggested that the HLA-DQB1

Indexed as

AllelesGene FrequencyGenetic Predisposition to DiseaseHLA-DQ beta-ChainsOral Submucous FibrosisPolymorphism, GeneticAdultCase-Control StudiesChinaFemaleGenetic Association StudiesGenotypeHumansMaleMiddle AgedYoung AdultHLA-DQB1 antigenHLA-DQ beta-Chains

Identifiers

PMID38799118
PMCPMC11127765

What Socratic 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 Socratic graph.