Evidence map›Paper›PMID 35251375›Full record

ArticleDisease markers2022

A Four-miRNA-Based Diagnostic Signature for Rheumatoid Arthritis.

Xu Jiang, Zhenjie Wei, Chao Wang, Qianqian Wang, Yanzhuo Zhang, Chengai Wu

Abstract read
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

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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.

Xu JiangDepartment of Orthopaedics, Beijing Jishuitan Hospital, The Fourth Clinical Medical College of Peking University, Beijing 100035, China.
Zhenjie WeiDepartment of Molecular Orthopaedics, Beijing Research Institute of Traumatology and Orthopaedics, Beijing 100035, China.
Chao WangDepartment of Molecular Orthopaedics, Beijing Research Institute of Traumatology and Orthopaedics, Beijing 100035, China.ORCID https://orcid.org/0000-0003-2737-4048
Qianqian WangDepartment of Molecular Orthopaedics, Beijing Research Institute of Traumatology and Orthopaedics, Beijing 100035, China.
Yanzhuo ZhangDepartment of Molecular Orthopaedics, Beijing Research Institute of Traumatology and Orthopaedics, Beijing 100035, China.
Chengai WuDepartment of Molecular Orthopaedics, Beijing Research Institute of Traumatology and Orthopaedics, Beijing 100035, China.ORCID https://orcid.org/0000-0002-9322-194X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs a chronic inflammatory disease, rheumatoid arthritis (RA) usually leads to cartilage and bone damage, even disability. Earlier detection and diagnosis are crucial to improve the therapeutic efficacy, and the aim of our study is to identify a potential diagnostic signature for RA.

methodsWe downloaded the GSE124373 dataset from the Gene Expression Omnibus (GEO) database. And differential expression analysis of miRNAs was conducted using the

resultsA total of 19 differentially expressed miRNAs in the blood sample of RA patients compared with that of healthy subjects were identified. Nine optimal miRNAs were screened by using stepwise regression analysis, and four key miRNAs hsa-miR-142-5p, hsa-miR-1184, hsa-miR-1246, and hsa-miR-99b-5p were further optimized. Finally, a logistic regression model was built based on the four key miRNAs, which could reliably separate RA patients from healthy subjects.

conclusionOur study established a logistic regression diagnostic model based on four crucial miRNAs, which could separate the sample type reliably.

Indexed as

Arthritis, RheumatoidDatabases, GeneticGene Expression ProfilingFemaleHumansMaleMicroRNAsRNA, MessengerMicroRNAsMIRN1184 microRNA, humanMIRN1246 microRNA, humanMIRN142 microRNA, humanRNA, Messenger

Identifiers

PMID35251375
PMCPMC8889404

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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.