Evidence map›Paper›PMID 39555989›Full record

ArticleCancer cytopathology2025

Correlation of different HPV genotype viral loads and cervical lesions: A retrospective analysis of 1585 cases.

Yilu Zhou, Jiaxin Liu, Shuai Chen, Xianzhen Xin, Mohan Xiao, Xian Qiang, Lina Zhang

Abstract read
In one paragraph

Article in Cancer cytopathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 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

7 authors.

Yilu ZhouCenter for Diagnosis and Treatment of Cervical Diseases, Changzhou Maternity and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.ORCID 0000-0001-7176-6802
Jiaxin LiuCenter for Diagnosis and Treatment of Cervical Diseases, Changzhou Maternity and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.
Shuai ChenCenter for Diagnosis and Treatment of Cervical Diseases, Changzhou Maternity and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.
Xianzhen XinDepartment of Gynecology, Beigang Street Community Health Service Center, Changzhou, China.
Mohan XiaoInternational Medical College, Chongqing Medical University, Chongqing, China.
Xian QiangDepartment of Pathology, Changzhou Maternity and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.
Lina ZhangCenter for Diagnosis and Treatment of Cervical Diseases, Changzhou Maternity and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.

Funding

2023 Changzhou Policy Guidance Project CZ202300202023 Jiangsu Province Traditional Chinese Medicine Science and Technology Development Plan MS2023089Clinical Research Project of Changzhou Medical Center CMCC202314Maternal and Child Health Research Project in Jiangsu Province F202166Nanjing Medical University Changzhou Medical Center Scientific Research and Innovation General Project CMCB202232the Key Talents in Maternal and Child Health Care in Jiangsu Province and Leading Talent of Changzhou "The 14th Five-year Plan" High-Level Health Talents Training Project 2022CZLJ030
6 · The paper itself

Abstract

backgroundTo reduce unnecessary examinations and treatments, an effective detection method for differentiating human papillomavirus (HPV)-positive patients is urgently needed. This study aimed to explore the differences in HPV viral loads across various cervical lesions and identify the optimal cutoff value for high-grade squamous intraepithelial lesions (HSILs).

methodsThis retrospective study included patients with varying degrees of cervical lesions admitted to a hospital between January 1, 2023, and March 1, 2024. The HPV genotype and viral load were determined using BioPerfectus multiplex real-time assay. The differences in HPV genotype viral loads among cervical lesion classifications were analyzed to identify the most applicable type of viral load.

resultsThe viral loads of HPV16, HPV31, HPV33, HPV35, and HPV58 were significantly associated with the grade of cervical lesions (p < .05), with the HPV16 group exhibiting the strongest correlation (p < .01). The HPV16 viral load demonstrated good sensitivity (Se) and specificity (Sp) for predicting HSIL (Se = 81.52%, Sp = 64.13%). The three most prevalent HPV genotypes associated with negative, low-grade squamous intraepithelial lesions (LSILs) and HSILs were HPV16, HPV52, and HPV58. HPV33 exhibited the highest prevalence of HSILs, followed by HPV16.

conclusionsHigh-risk HPV viral load is associated with cervical lesion classification. HPV16 viral load can effectively differentiate HSIL from LSIL with good Se and Sp.

Indexed as

GenotypePapillomaviridaePapillomavirus InfectionsUterine Cervical NeoplasmsViral LoadAdultAgedDNA, ViralFemaleHumansMiddle AgedRetrospective StudiesUterine Cervical DysplasiaYoung AdultDNA, Viralcervical lesionscutoff valueHPV genotypinghuman papillomavirusviral load

Identifiers

PMID39555989
PMCPMC11695744

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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.