Evidence map›Paper›PMID 31617231›Full record

ArticleJournal of clinical laboratory analysis2020

Plasma microRNA detection standardization test.

Xiaomin Feng, Yuwei Liu, Nan Wan

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 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
0.5field-weighted citation impact, top 40% 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, 12 citations in OpenAlex.

  1. Review
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  7. Article
  8. Plasma microRNA detection standardization test.Journal of clinical laboratory analysis · 2020
    Article
  9. Inflammation, Senescence and MicroRNAs in Chronic Kidney Disease.Frontiers in cell and developmental biology · 2020
    Article
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

3 authors at 2 institutions in 1 country.

Xiaomin FengDalian Medical University, Dalian, Liaoning, China.
Yuwei LiuDalian Medical University, Dalian, Liaoning, China.
Nan WanDepartment of Laboratory Medicine Science Center, General Hospital of Northern Theater Command, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0001-7968-4561
Dalian Medical University · CNGeneral Hospital of Shenyang Military Region · CN

Funding

Liaoning Science and Technology Fund 2019-ZD-1027
6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) can be used for early diagnosis of myocardial infarction. However, due to a lack of standardized operating procedures, their value for clinical application is low.

methodsDetection of plasma miRNAs was optimized by analyzing factors influencing miRNA variance and myocardial infarction risk scores during analysis (extraction, reverse transcription, and real-time PCR) and pre-analysis (dietary status, anticoagulants, storage conditions, and hemolysis).

resultsRegarding variable factors during analysis, the centrifugal column method was superior to Trizol LS reagent when extracting miRNA from plasma. Recovery rate was highest with plasma volumes of 200 and 300 µL. During analysis, the main source of miRNA detection inaccuracy was derived from RNA extraction (mainly organic extraction), and not reverse transcription or PCR. MiRNA variance could be reduced by use of an internal reference. During analysis, 95% of risk score variation fluctuated within a range of 6.267. The variable factors pre-analysis mainly involved dietary status, anticoagulant selection, and storage conditions. Hemolysis positively correlated with miRNA levels, but there was no significant change in risk score after internal reference calibration.

conclusionPreliminary standardization for miRNA detection provides a reference for clinical blood testing of miRNAs.

Indexed as

AdultAgedAnticoagulantsBlood Specimen CollectionFastingFemaleHemolysisHumansMaleMicroRNAsMiddle AgedMyocardial InfarctionReal-Time Polymerase Chain ReactionReproducibility of ResultsAnticoagulantsMicroRNAsmicroRNAmyocardial infarctionrisk scorestandardization

Identifiers

PMID31617231
PMCPMC7031554
OpenAlexW2980480466

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.