Evidence map›Paper›PMID 34786099›Full record

ArticleAmerican journal of translational research2021

The contribution of the

Xiaoyan Chen, Haiyue Li, Yuanwei Liu, Jianfeng Liu, Yao Sun, Jiamin Wu, Zichao Xiong, Wen Cao

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 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
0.1field-weighted citation impact, top 60% 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, 1 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 2 institutions in 1 country.

Xiaoyan ChenDepartment of Nephrology, Xi'an Hospital of Traditional Chinese Medicine Xi'an 710021, Shaanxi, China.
Haiyue LiKey Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University Xi'an 710069, Shaanxi, China.
Yuanwei LiuKey Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University Xi'an 710069, Shaanxi, China.
Jianfeng LiuKey Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University Xi'an 710069, Shaanxi, China.
Yao SunKey Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University Xi'an 710069, Shaanxi, China.
Jiamin WuKey Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University Xi'an 710069, Shaanxi, China.
Zichao XiongKey Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University Xi'an 710069, Shaanxi, China.
Wen CaoDepartment of Nephrology, Xi'an Hospital of Traditional Chinese Medicine Xi'an 710021, Shaanxi, China.
Northwest University · CNMinistry of Education of the People's Republic of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIgA nephropathy (IgAN) is the most common primary glomerulonephritis worldwide. Genetic factors are reported to play an essential role in IgAN progression. This study was designed to investigate the association between

methodsSix SNPs were genotyped. A logistic regression model was used to calculate the effects of the candidate SNPs on IgAN. The SNP-SNP interaction was analyzed using multifactor dimensionality reduction.

resultsWe observed that only

conclusionThe present study demonstrated that the SNPs in long non-coding RNAs might be related to IgAN.

Indexed as

IgA nephropathyLOC105371267MRPS30-DTpolymorphisms

Identifiers

PMID34786099
PMCPMC8581847
OpenAlexW3212357827

What OpenQuestion holds

Textmetadata
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.