Evidence map›Paper›PMID 41219975›Full record

ArticleVirology journal2025

Diagnostic criteria for HPV infection classification: a comment on Wen et al.

Elian Analí Camero-Ortiz, Silvia Karen Delgado-García, Guido Bendezu-Quispe, Gustavo A Grandez-Castillo

Abstract readLetterComment
In one paragraph

Article in Virology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Elian Analí Camero-OrtizUniversidad Privada San Juan Bautista, Escuela de Medicina, Lima, Peru.
Silvia Karen Delgado-GarcíaInSalud Research, Lima, Peru.
Guido Bendezu-QuispeUniversidad Señor de Sipán, Escuela de Medicina Humana, Chiclayo, Peru. guidobq@gmail.com.
Gustavo A Grandez-CastilloHospital Nacional Dos de Mayo, Servicio de enfermedades infecciosas y tropicales, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe read with great interest Wen et al.'s article on HPV infection in Huizhou men, commending this pioneering research as the first systematic analysis of HPV epidemiology in the region. The findings, including a 30.53% positivity rate and prevalent genotypes like HPV6, HPV52, HPV11, and HPV16, offer valuable insights for developing effective prevention strategies. MAIN BODY: We are concerned, however, about the study's HPV classification methodology. Categorizing infections into "low-risk," "high-risk," and "mixed" (which includes any combination of high and low-risk genotypes) might obscure the true incidence of high-risk HPV infections. High-risk HPV types are strongly linked to malignant transformations. Hence, a single high-risk genotype poses a significant health risk, irrespective of low-risk co-infection. Grouping high-risk infections with low-risk types in the "mixed" category could therefore underestimate the proportion of patients with high-risk HPV.

conclusionFor future research, we suggest presenting high-risk HPV prevalence by distinguishing between solely low-risk, solely high-risk, and high-risk mixed infections (multiple infections that include at least one high-risk genotype). This offers a more accurate understanding of the burden, aiding public health efforts, screening, and vaccination programs.

Indexed as

Human Papillomavirus VirusesPapillomavirus InfectionsChinaGenotypeHumansMalePrevalence

Identifiers

PMID41219975
PMCPMC12606788

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Registered trials

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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.