Evidence map›Paper›PMID 42267101›Full record

ArticleFrontiers in microbiology2026

Association between multiple infection patterns of HPV33 and the risk of cervical carcinogenesis.

Wenqian Shi, Wenjie Qu, Yaping Wang, Fang Chen, Zhiheng Wang, Qi Zhou, Tianyi Bi, Pei Zhang, Jingyi Feng, Fangying Chen and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2026. 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

16 authors.

Wenqian Shi *Obstetrics and Gynecology Hospital of Fudan University, Shanghai Key Laboratary of Reproduction and Development, Shanghai Key Laboratary of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Wenjie Qu *Obstetrics and Gynecology Hospital of Fudan University, Shanghai Key Laboratary of Reproduction and Development, Shanghai Key Laboratary of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Yaping Wang *Obstetrics and Gynecology Hospital of Fudan University, Shanghai Key Laboratary of Reproduction and Development, Shanghai Key Laboratary of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Fang ChenObstetrics and Gynecology Hospital of Fudan University, Shanghai Key Laboratary of Reproduction and Development, Shanghai Key Laboratary of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Zhiheng WangObstetrics and Gynecology Hospital of Fudan University, Shanghai Key Laboratary of Reproduction and Development, Shanghai Key Laboratary of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Qi ZhouObstetrics and Gynecology Hospital of Fudan University, Shanghai Key Laboratary of Reproduction and Development, Shanghai Key Laboratary of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Tianyi BiObstetrics and Gynecology Hospital of Fudan University, Shanghai Key Laboratary of Reproduction and Development, Shanghai Key Laboratary of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Pei ZhangObstetrics and Gynecology Hospital of Fudan University, Shanghai Key Laboratary of Reproduction and Development, Shanghai Key Laboratary of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Jingyi FengObstetrics and Gynecology Hospital of Fudan University, Shanghai Key Laboratary of Reproduction and Development, Shanghai Key Laboratary of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Fangying ChenObstetrics and Gynecology Hospital of Fudan University, Shanghai Key Laboratary of Reproduction and Development, Shanghai Key Laboratary of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Lin LinObstetrics and Gynecology Hospital of Fudan University, Shanghai Key Laboratary of Reproduction and Development, Shanghai Key Laboratary of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Xing LiuDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Yifei YaoMed-X Research Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Zhiyong WuObstetrics and Gynecology Hospital of Fudan University, Shanghai Key Laboratary of Reproduction and Development, Shanghai Key Laboratary of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Yan WangObstetrics and Gynecology Hospital of Fudan University, Shanghai Key Laboratary of Reproduction and Development, Shanghai Key Laboratary of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Yanyun LiObstetrics and Gynecology Hospital of Fudan University, Shanghai Key Laboratary of Reproduction and Development, Shanghai Key Laboratary of Female Reproductive Endocrine Related Diseases, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Human papillomavirus 33 (HPV33) is among the five most prevalent HPV genotypes in China and is commonly involved in co-infections. However, the synergistic effects of specific genotype combinations on cervical carcinogenesis remain incompletely understood. This study aimed to characterize HPV33 co-infection patterns and their associated genetic variations in relation to cervical lesion progression. Methods: We enrolled 1,770 HPV33-positive patients from the Obstetrics and Gynecology Hospital of Fudan University between 2018 and 2023, including 852 with HPV33 single infections and 918 with multiple infections. Logistic regression was used to assess associations between co-infection characteristics and cervical histopathological results. In a subset of 90 cases, the full-length L1 gene of HPV33 was sequenced and phylogenetically analyzed to evaluate genomic variation by infection status. Results: The number of HPV33 co-infecting genotypes was positively correlated with cervical lesion severity ( Conclusion: HPV33 co-infection patterns, particularly those involving HPV16, are consistently associated with an elevated risk of high-grade cervical lesions in this Chinese cohort. These findings underscore the differential risks associated with distinct HPV33 co-infection patterns and support genotype-specific risk stratification in cervical cancer screening programs.

Indexed as

cervical intraepithelial lesionsHPV16HPV33multiple infectionsingle infection

Identifiers

PMID42267101
PMCPMC13243004

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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.