Evidence map›Paper›PMID 31860959›Full record

ArticleMedicine2019

Plasma miR-200c-3p, miR-100-5p, and miR-1826 serve as potential diagnostic biomarkers for knee osteoarthritis: Randomized controlled trials.

Zhen Lai, Yanguang Cao

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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  10. Multi-omics molecular biomarkers and database of osteoarthritis.Database : the journal of biological databases and curation · 2022
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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

2 authors at 2 institutions in 1 country.

Zhen LaiDepartment of Orthopedics, Zhejiang Chinese Medicine and Western Medicine Integrated Hospital/Hangzhou Red Cross Hospital.
Yanguang CaoDepartment of Orthopedics, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Hangzhou Red Cross Hospital · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study the potential diagnostic value of plasma miR-200c-3p, miR-100-5p, and miR-1826 levels in knee osteoarthritis (KOA).

methodsReal-time quantitative PCR (RT-PCR) was used to measure the expression levels of serum miR-200c-3p, miR-100-5p, and miR-1826 in 150 KOA patients and 150 control controls. In addition, the levels of DNMT3A, ZEB1, MMP13, and CTNNB1 mRNAs in the synovial fluid were also measured by RT-PCR.

resultsThe expression levels of miR-100-5p, miR-200c-3p, and miR-1826 in the synovial fluid of 150 KOA patients were significantly lower than those in 54 controls (P < .001). In the synovial fluid, the miR-100-5p and DNMT3A mRNA levels, miR-100-5p and ZEB1 mRNA levels, miR-200c-3p and MMP13 mRNA levels, and miR-1826 and CTNNB1 mRNA levels were all negatively correlated (r = -0.83, -0.81, -0.83, -0.58, respectively). The AUCs of the diagnosis for KOA using the plasma levels of miR-200c-3p, miR-100-5p, and miR-1826 were 0.755, 0.845, and 0.749, respectively.

conclusionThe plasma levels of miR-200c-3p, miR-100-5p, and miR-1826 are of potentially high value in the diagnosis of KOA.

Indexed as

Gene Expression RegulationAgedAged, 80 and overAge FactorsArea Under CurveBiomarkersBlotting, WesternCohort StudiesDisease ProgressionFemaleHumansMaleMicroRNAsMiddle AgedOsteoarthritis, KneePrognosisBiomarkersMicroRNAsMIRN100 microRNA, humanMIRN1826 microRNA, human

Identifiers

PMID31860959
PMCPMC6940174
OpenAlexW2996326093

What OpenQuestion holds

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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.