Evidence map›Paper›PMID 32855677›Full record

ArticleExperimental and therapeutic medicine2020

Detection of microRNA expression levels based on microarray analysis for classification of idiopathic pulmonary fibrosis.

Qilong Li, Mohan Li, Kexin Zheng, Hong Li, Hong Yang, Shiliang Ma, Ming Zhong

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Patterns of miRNA Expression in Primary and Metastatic Wilms Tumor.Medical science monitor : international medical journal of experimental and clinical research · 2026
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  4. 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

7 authors at 2 institutions in 1 country.

Qilong LiCollege of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning 110866, P.R. China.
Mohan LiCollege of Food Science, Shenyang Agricultural University, Shenyang, Liaoning 110866, P.R. China.
Kexin ZhengCollege of Food Science, Shenyang Agricultural University, Shenyang, Liaoning 110866, P.R. China.
Hong LiDepartment of Pharmacy, Fushun Central Hospital, Fushun, Liaoning 113006, P.R. China.
Hong YangDepartment of Pathology, Shenyang Thoracic Hospital, Shenyang, Liaoning 110044, P.R. China.
Shiliang MaCollege of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning 110866, P.R. China.
Ming ZhongCollege of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning 110866, P.R. China.
Shenyang Agricultural University · CNShenyang 242 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The etiology and pathophysiological mechanisms of idiopathic pulmonary fibrosis (IPF) are yet to be fully elucidated; however, mining of disease-related microRNAs (miRNAs/miRs) has improved the understanding of the progression of IPF. The aim of the current study was to screen miRNAs associated with IPF using three mathematical algorithms: One-way ANOVA, least absolute shrinkage and selector operation (LASSO) and support vector machine-recursive feature elimination (SVM-RFE). Using ANOVA, three miRNAs and two miRNAs were selected with opposite expression patterns in moderate and severe IPF, respectively. In total, two algorithms, LASSO and SVM-RFE, were used to perform feature selection of miRNAs. miRNAs from patients were also extracted from formalin-fixed paraffin-embedded tissues and detected using reverse transcription-quantitative PCR (RT-qPCR). The intersection of the three algorithms (ANOVA, LASSO and SVM-RFE) was taken as the final result of the miRNA candidates. Three miRNA candidates, including miR-124, hsa-miR-524-5p and hsa-miR-194 were therefore used as biomarkers. The receiver operating characteristic model demonstrated favorable discrimination between IPF and control groups, with an area under the curve of 78.5%. Moreover, RT-qPCR results indicated that

Indexed as

bioinformaticsbiomarkeridiopathic pulmonary fibrosismicroRNAsupport vector machine-recursive feature elimination

Identifiers

PMID32855677
PMCPMC7444334
OpenAlexW3045889104

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.