Evidence map›Paper›PMID 37298066›Full record

ArticleInternational journal of molecular sciences2023

NOVAprep-miR-Cervix: New Method for Evaluation of Cervical Dysplasia Severity Based on Analysis of Six miRNAs.

Margarita Kniazeva, Lidia Zabegina, Andrey Shalaev, Olga Smirnova, Olga Lavrinovich, Igor Berlev, Anastasia Malek

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. 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
1.3field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Evolving HPV diagnostics: current practice and future frontiers.Frontiers in cellular and infection microbiology · 2025
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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.

Margarita KniazevaSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.ORCID 0000-0002-2079-5061
Lidia ZabeginaSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.ORCID 0000-0003-0827-1641
Andrey ShalaevSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.ORCID 0000-0002-6148-6994
Olga SmirnovaDepartment of Gynecological Oncology, N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.ORCID 0000-0003-1140-6578
Olga LavrinovichDepartment of Gynecological Oncology, N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.
Igor BerlevDepartment of Gynecological Oncology, N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.
Anastasia MalekSubcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia.ORCID 0000-0001-5334-7292

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer is one of the most common gynecological malignancies and it is preventable through the yearly diagnosis and management of pre-cancerous cervical disease. The profile of miRNA expression in cervical epithelium cells is altered with cervical dysplasia development and further progression. The NOVAprep-miR-CERVIX is a new approach for the assessment of cervical dysplasia through the analysis of six marker miRNAs. This study aims to evaluate theperformance and diagnostic potency of the new method. Cytological smears from 226 women (NILM, n.114; HSIL, n.112) were included in the study. A VPH test was performed with RealBest DNAHPV HR screen Kit, six marker miRNAs (miR-21, -29b, -145, -451a, -1246, -1290) were assayed using NOVAprep-miR-CERVIX kit. Obtained data were analyzed using the Delta Ct method and random forest machine learning algorithm. The results of the quantitative analysis of six microRNAs were expressed as a miR-CERVIX parameter, which ranged from 0 to 1, where "0" corresponded to the healthy cervical epithelium, while "1" corresponded to high-grade squamous intraepithelial dysplasia. The average value of miR-CERVIX differed in groups of NILM and HSIL samples (0.34 vs. 0.72;

Indexed as

MicroRNAsPapillomavirus InfectionsUterine Cervical DysplasiaUterine Cervical NeoplasmsCervix UteriFemaleHumansPapillomaviridaeMicroRNAscervical cancerdiagnosisintraepithelial neoplasiamiRNArandom forestRT-PCR

Identifiers

PMID37298066
PMCPMC10252283
OpenAlexW4378087412

What OpenQuestion holds

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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.