Evidence map›Paper›PMID 33670901›Full record

ReviewDiagnostics (Basel, Switzerland)2021

Data Integration Reveals the Potential Biomarkers of Circulating MicroRNAs in Osteoarthritis.

Thuan Duc Lao, Thuy Ai Huyen Le

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Synovial Fluid and Serum MicroRNA Signatures in Equine Osteoarthritis.International journal of molecular sciences · 2025
    Article
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Review
  8. Review
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

2 authors at 1 institution in 1 country.

Thuan Duc LaoFaculty of Biotechnology, Ho Chi Minh City Open University, Ho Chi Minh City 700000, Vietnam.ORCID 0000-0002-6459-3058
Thuy Ai Huyen LeFaculty of Biotechnology, Ho Chi Minh City Open University, Ho Chi Minh City 700000, Vietnam.
Ho Chi Minh City Open University · VN

Funding

Ho Chi Minh City Open University, HCMC, Vietnam B2019-MBS-02Ministry of Education and Training, Vietnam B2019-MBS-02
6 · The paper itself

Abstract

The abnormal expression of circulating miRNAs (c-miRNAs) has become an emerging field in the development of miRNAs-based diagnostic and therapeutic tools for human diseases, including osteoarthritis (OA). OA is the most common form of arthritis leading to disability and a major socioeconomic burden. The abnormal expression of miRNAs plays important roles in the pathogenesis of OA. Unraveling the role of miRNAs in the pathogenesis of OA will throw light on the potential for the development of miRNAs-based diagnostic and therapeutic tools for OA. This article reviews and highlights recent advances in the study of miRNAs in OA, with specific demonstration of the functions of miRNA, especially c-miRNA, in OA pathogenesis as well as its potential implication in the treatment of OA. Based on a systematic literature search using online databases, we figured out the following main points: (1) the integrative systematic review of c-mRNAs and its target genes related to OA pathogenesis; (2) the potential use of c-miRNAs for OA diagnosis purposes as potential biomarkers; and (3) for therapeutic purposes, and we also highlight certain remedies that regulate microRNA expression based on its target genes.

Indexed as

circulating miRNAsmiRNAs-based diagnosismiRNAs-based therapeuticosteoarthritis

Identifiers

PMID33670901
PMCPMC7997238
OpenAlexW3133746941

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.