Evidence map›Paper›PMID 34743291›Full record

ArticleImmunologic research2022

Analysis of inflammation-related microRNA expression in patients with ankylosing spondylitis.

Huiling Tan, Ruyu Ren, Junlong Zhang, Zhuochun Huang, Qian Niu, Bin Yang

Abstract read
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Article in Immunologic research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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

6 authors at 1 institution in 1 country.

Huiling TanDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Ruyu RenDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Junlong ZhangDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Zhuochun HuangDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Qian NiuDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Bin YangDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China. yangbinhx@scu.edu.cn.ORCID 0000-0001-7563-9798
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ankylosing spondylitis (AS) is a complex genetic disease characterized by axial skeletal inflammation. Available scientific evidence suggests that a relationship may exist between miRNA expression levels and the pathogenesis of AS. This study investigated the clinical diagnostic value of miR-146a, miR-15a, miR-20a, miR-125a-3p, miR-125a-5p, miR-125b-5p, miR-148a, miR-149a, miR-499, and miR-155a in AS. A total of 44 AS patients and 56 healthy controls (HCs) were included in the study. MiRNA expression levels were detected using fluorescence quantitative PCR (qPCR). Results showed that the expression levels of miR-146a, miR-125a-3p, miR-125a-5p, miR-125b-5p, and miR-155a decreased, whereas miR-499a expression increased significantly in AS patients compared to that in the controls. Logistic regression analysis with receiver operating characteristic (ROC) curves showed that combined miR-146a/miR-125a-5p/miR-125b-5p/miR-499a/miR-155a (area under curve [AUC] = 0.824, 95% confidence interval [CI] = 0.727-0.921) had high sensitivity and specificity for AS diagnosis. C-reactive protein (CRP) levels were positively correlated with the expression of miR-125a-5p (r

Indexed as

MicroRNAsSpondylitis, AnkylosingBiomarkersHumansInflammationROC CurveBiomarkersMicroRNAsAnkylosing spondylitisDiagnosisInflammatory factorsmiRNAROC curve

Identifiers

PMID34743291
OpenAlexW3214555371

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.