Evidence map›Paper›PMID 40003676›Full record

ArticleLife (Basel, Switzerland)2025

The Prevalence of Human Papillomavirus Genotypes in Women with Precancerous Lesions and Cervical Cancer in Arequipa, Peru.

Gonzalo Arturo Medina Bueno, Deyné Maribel Ticona Ramos, Claudia Amparo Mares Cuadros, Rocio Mary Quequezana Guevara

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gonzalo Arturo Medina BuenoDepartment of Obstetrics and Gynecology, Faculty of Medicine, National University of San Agustin, Arequipa 04510, Peru.ORCID 0000-0002-9905-605X
Deyné Maribel Ticona RamosDepartment of Obstetrics and Gynecology, Faculty of Medicine, National University of San Agustin, Arequipa 04510, Peru.
Claudia Amparo Mares CuadrosDepartment of Microbiology and Pathology, Faculty of Medicine, National University of San Agustin, Arequipa 04510, Peru.
Rocio Mary Quequezana GuevaraDepartment of Microbiology and Pathology, Faculty of Medicine, National University of San Agustin, Arequipa 04510, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to determine the relationship between the prevalence of high-risk human papillomavirus (HRHPV) and age in women with cervical neoplasia or cervical cancer. This retrospective study involved 470 women referred for abnormal cervical cytology between January 2021 and December 2023. The Cobas 4800 test was used to identify HRHPV genotypes; it specifically identified genotypes 16 and 18 and grouped the other high-risk genotypes into another category. The Cobas 4800 test was performed together with colposcopy and biopsies of cervical lesions. From the analysis, we selected 470 women who underwent cervical biopsies and HPV testing. Of them, 208 (44.3%) were HPV-negative. Among the 262 women positive for HPV, 13.0% were positive for genotype 16 only, 1.3% for genotype 18 only, and 35.1% for other HPV genotypes. HPV-16 was found in 58.3% of cases of cervical intraepithelial neoplasia grade 3 (CIN 3) in women under 35 years of age and in 20.9% of cases in women over 35 years of age. Furthermore, 51.9% of patients with cervical cancer tested positive for other high-risk HPV types, whereas 30.8% had HPV-16. Although other HPV genotypes were more frequent than HPV-16 and HPV-18 in individuals with cervical cancer, HPV-16 was the most common individual high-risk genotype in women ≥ 35 years of age with CIN-3.

Indexed as

cervical cancercervical intraepithelial neoplasiagenotypingHPV typeshuman papilloma virus

Identifiers

PMID40003676
PMCPMC11857495

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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.