Evidence map›Paper›PMID 34820172›Full record

ArticlePeerJ2021

Gene polymorphisms in

Yan Zhu, Jinlan Rao, Jingsi Wei, Liu Liu, Shanshan Huang, Jingjing Lan, Chao Xue, Wei Li

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. 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
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  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 at 1 institution in 1 country.

Yan ZhuThe Second Affiliated Hospital of Guangxi Medical University, Department of Nephrology, Nanning, Guangxi, China.
Jinlan RaoThe Second Affiliated Hospital of Guangxi Medical University, Department of Nephrology, Nanning, Guangxi, China.
Jingsi WeiThe Second Affiliated Hospital of Guangxi Medical University, Department of Nephrology, Nanning, Guangxi, China.
Liu LiuThe Second Affiliated Hospital of Guangxi Medical University, Department of Nephrology, Nanning, Guangxi, China.
Shanshan HuangThe Second Affiliated Hospital of Guangxi Medical University, Department of Nephrology, Nanning, Guangxi, China.
Jingjing LanThe Second Affiliated Hospital of Guangxi Medical University, Department of Nephrology, Nanning, Guangxi, China.
Chao XueThe Second Affiliated Hospital of Guangxi Medical University, Department of Nephrology, Nanning, Guangxi, China.
Wei LiThe Second Affiliated Hospital of Guangxi Medical University, Department of Nephrology, Nanning, Guangxi, China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroscopic polyangiitis (MPA) is a systemic autoimmune disease characterized by inflammation of small- and medium-sized blood vessels. Autophagy-related protein polymorphisms are involved in autoimmune disease. The aim of this study was to evaluate the effects of single-nucleotide polymorphisms (SNPs) in the

methodA total of 208 patients with MPA and 211 controls in the Guangxi Zhuang Autonomous Region were recruited and analyzed. The SNPs selected were detected by polymerase chain reaction and high-throughput sequencing. The differences in allele and genotype frequency, various genetic models, and stratification analyses were evaluated, haplotype evaluation was performed after linkage disequilibrium analysis, and the interaction between gene alleles was analyzed.

resultsA statistically significant difference was detected in the genotypic distribution of two SNPs between the two groups:

conclusionIn this study, polymorphisms in the autophagy-related genes

Indexed as

Gene polymorphismMicroscopic polyangiitisPIK3CAULK1

Identifiers

PMID34820172
PMCPMC8588863
OpenAlexW3212881352

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.