Evidence map›Paper›PMID 39512799›Full record

ArticleFrontiers in genetics2024

Roles of

Xiaoyan Xu, Ruina Chen, Lihuan Lu, Jingru Cheng, Xiaomin He, Hongqiu Pan, Meiling Zhang, Honggang Yi, Shaowen Tang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 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

9 authors.

Xiaoyan XuDepartment of Infectious Disease Control and Prevention, Changshu Center for Disease Control and Prevention, Suzhou, China.
Ruina ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Lihuan LuDepartment of Tuberculosis, The Second People's Hospital of Changshu, Changshu, China.
Jingru ChengDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Xiaomin HeDepartment of Infectious Disease, The People's Hospital of Taixing, Taixing, China.
Hongqiu PanDepartment of Tuberculosis, The Third People's Hospital of Zhenjiang Affiliated to Jiangsu University, Zhenjiang, China.
Meiling ZhangDepartment of Infectious Disease, The Jurong Hospital Affiliated to Jiangsu University, Jurong, China.
Honggang YiDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.
Shaowen TangDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The pathogenesis of antituberculosis drug-induced liver injury (AT-DILI) remains largely unknown. The current investigation aimed to determine the genetic contribution of the nuclear receptor subfamily 1 Group I member 3 ( Methods: A 1:4 matched case‒control study was conducted, and five single nucleotide polymorphisms (SNPs) in the Results: 224 AT-DILI cases and 896 controls were included in this study. No significant difference was observed in genotypes or haplotypes frequencies between AT-DILI cases and controls. However, comparisons of liver function indicators revealed significant differences in the peak values of alanine aminotransferase (ALT), aspartate aminotransferase (AST) and total bilirubin (TBil) among patients with different genotypes of Conclusion: Based on this 1:4 individual-matched case‒control study, the SNP rs56163822 in the

Indexed as

antituberculosis drug-induced liver injurycase-control studygenetic polymorphismsnuclear receptor subfamily 1 group H member 4nuclear receptor subfamily 1 group I member 3

Identifiers

PMID39512799
PMCPMC11541836

What OpenQuestion holds

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Registered trials

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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.