Evidence map›Paper›PMID 40078342›Full record

ArticleJournal of cytology

Distribution of High-risk Human Papillomavirus Genotypes in Cervical Smear Samples and Evaluation of ASC-US, LSIL, and HSIL Results.

Eylul Beren Tanik, Ayfer Bakir, Tugba Taskin Turkmenoglu, Gul Erdem

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Article in Journal of cytology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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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

4 authors.

Eylul Beren TanikDepartment of Medical Microbiology, Ministry of Health Ankara Etlik City Hospital, Yenimahalle, Ankara, Turkey.
Ayfer BakirDepartment of Medical Microbiology, Ministry of Health Ankara Etlik City Hospital, Yenimahalle, Ankara, Turkey.
Tugba Taskin TurkmenogluDepartment of Pathology, Ministry of Health Ankara Etlik City Hospital, Yenimahalle, Ankara, Turkey.
Gul ErdemDepartment of Medical Microbiology, Ministry of Health Ankara Etlik City Hospital, Yenimahalle, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: High-risk human papillomavirus (hrHPV) is the most common viral pathogen responsible for cervical cancers. Determining the rates of HPV positivity, genotypic distribution, and obtaining regional epidemiological data can provide guidance for preventive strategies. Aims: This study aims to assess HPV positivity rates, age distribution, genotyping in abnormal cytologies, and then obtain regional epidemiological data. Settings and Design: Descriptive study. Materials and Methods: This study included 3510 women aged ≥18, whose cervical smear samples were examined at the Microbiology Laboratory. HPV detection and genotyping in cervical smear samples were performed using the polymerase chain reaction (PCR) method. Pap smears were evaluated according to the Bethesda system. Statistical analysis used: SPSS 23 (IBM Corp.) software was utilized for the statistical analysis of the data. Results: The positivity rate for hrHPV infection was 10%. The most common genotype was other hrHPV. The rate of multiple hrHPV positive infections was 13.6%. The highest hrHPV positivity was observed in the age group ranging from 18 to 24 age group (28.7%). HPV infections were higher in abnormal cytologies ( Conclusions: The hrHPV positivity was 10%, with other hrHPV strain infections being the most detected, followed by HPV 16. Due to the high detection of other hrHPV strain positivity in patients with abnormal cytology, conducting regional studies determining each hrHPV type separately, monitoring the natural course of infection with types other than HPV 16 and HPV 18, and benefiting vaccine studies are considered essential.

Indexed as

Cervixco-infectioncytopathologyDue to the high rate of other hrHPV strain positivity detected in patients with abnormal cytology, it may be necessary to conduct regional studies that determine each hrHPV type separately. In addition, identifying these types and monitoring the natural course of the infection will contribute to vaccine studies.human papillomaviruspap smearPCR

Identifiers

PMID40078342
PMCPMC11896115

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