Evidence map›Paper›PMID 40661772›Full record

ArticleFrontiers in oncology2025

Prevalence of human papillomavirus genotypes in Latvia among women participating in cervical cancer screening.

Anna Stasulane, Justine Grundmane, Kristiana Sulte, Janis Stasulans, Solvita Cernavska, Laura Smite

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Article in Frontiers in oncology, 2025. 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
–field-weighted citation impact
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.

  1. Review
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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

6 authors.

Anna StasulaneFaculty of Medicine, Riga Stradins University, Riga, Latvia.
Justine GrundmaneE. Gulbis Laboratory, Riga, Latvia.
Kristiana SulteFaculty of Medicine, Riga Stradins University, Riga, Latvia.
Janis StasulansFaculty of Medicine, Riga Stradins University, Riga, Latvia.
Solvita CernavskaFaculty of Medicine, Riga Stradins University, Riga, Latvia.
Laura SmiteE. Gulbis Laboratory, Riga, Latvia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: The propensity of human papillomavirus (HPV) to cause cervical cancer is linked to specific genotypes that vary in carcinogenicity. This study aims to provide insight into the most prevalent HPV genotypes in Latvia among women participating in cervical cancer screening. Materials and methods: The prevalence data presented in this study were derived from routine screening. The data were collected during the first two years of the reorganized screening program, from 1 July 2022 to 1 July 2024, which for the first time included HPV genotyping as a primary screening method in women aged 30-70. Testing was performed in an accredited laboratory using a commercial kit capable of detecting 14 HPV genotypes. Results: The overall prevalence among 30-70-year-old women participating in cervical cancer screening in Latvia was 12.04%. HPV 16 was the most prevalent HPV genotype, followed by HPV 68, 31, 66, 52, 56, 51, 45, 33, 39, 18, 58, 59, and 35. Across all age categories, single infections were the most prevalent-81.82% of women tested positive for only one HPV genotype, with an average of 1.23 genotypes per positive sample. The prevalence of both single and co- infections tended to decrease with age, except for a slight increase in the oldest age group, women aged 60-70. There was a significant difference in the overall HPV infection prevalence across age groups. Conclusions: These results provide valuable epidemiological data that can inform cervical cancer screening, prognosis, HPV vaccine implementation targeting region-specific genotypes, and ongoing monitoring of genotype distribution.

Indexed as

cervical cancerdistributiongenotypesHPVLatvia

Identifiers

PMID40661772
PMCPMC12256253

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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.