ArticleHuman vaccines & immunotherapeutics2019
Human papillomavirus genotypes and infection among women in Changzhou, China.
Article in Human vaccines & immunotherapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Trends in HPV-positive cervical cancer prevalence: a retrospective study from 2013 to 2020.Virology journal · 2025Article
- Effectiveness of a pre-test/post-test model in HPV health education among undergraduate medical students.BMC medical education · 2025Article
- Multiple infections containing the top five prevalent HPV genotypes and their impact on cervical lesions in Changzhou, China.Human vaccines & immunotherapeutics · 2023Article
- Molecular Detection of Human Papillomaviruses in Formalin Fixed Paraffin Embedded Sections from Different Anogenital Lesions in Duhok-Iraq.Diagnostics (Basel, Switzerland) · 2022Article
- The genetic variability, phylogeny and functional significance of E6, E7 and LCR in human papillomavirus type 52 isolates in Sichuan, China.Virology journal · 2021Article
- There's Much Yet to be Done: Diverse Perspectives on HPV Vaccination.Human vaccines & immunotherapeutics · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human papillomavirus (HPV) infection is a major cause of cervical cancer. HPV vaccine has been shown to be highly effective in preventing HPV infection, and understanding the genotypes of HPV infection can guide the utilization of HPV vaccine. This epidemiological study aimed to investigate the genotype distribution of HPV in HPV-positive female patients in Changzhou. This study enrolled HPV-positive female patients admitted at the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University were enrolled in this study. HPV genotypes were identified via standard HPV DNA testing. The cohort comprised 5738 patients, that the predominant genotypes were HPV52 (13.4%), HPV16 (9.6%), HPV58 (8.8%), HPV81 (8.6%), and HPV53 (7.7%). HPV infection prevalence was the highest among those aged 41-45 y (16.6%), followed by those aged 31-35 y (15.1%) and 36-40 y (15.1%). In total, 46.8% of infections were found in women aged 31-45 y. The main genotypes of HPV infection upon physical examination or diagnosis of cervicitis and cervical cancer were HPV52, 16, 58, 81, and 53. HPV52, 16, 58, 81, and 53 are the most predominant genotypes of HPV infection. Further, HPV infection is most prevalent among women aged 31-45 y. Our findings provide experimental evidence for guiding HPV vaccination policy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.