Prevalence characteristics of cervical human papillomavirus infection in Chengdu and Aba District, Sichuan Province, China Article Swipe
Qianqian Wang
,
Min Xu
,
Hua Zhou
,
Yahui Li
,
Ji‐chun Ma
,
Xuan Zhu
,
Weijun He
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0304760
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0304760
Purpose The genotype distribution of human papillomavirus (HPV) infection varies greatly in different regions. This study aims to determine the prevalence and type-specific distribution of HPV among females from Chengdu and Aba in Sichuan Province, which differ in geographical location, economic status, and living habits. These can serve as evidence of epidemic patterns for future design and implementation of vaccination and screening programs. Methods A retrospective cross-sectional study was conducted on 144 113 women who underwent cervical screening at Chengdu Women’s and Children’s Central Hospital from January 2015 to September 2020. Meanwhile, 1799 samples from February 2018 to December 2021 were collected from Aba Maternal and Child Health Hospital. HPV DNA genotype testing was performed using real‐time PCR. The overall prevalence, annual trend, age-specific prevalence, and type distribution were analyzed. Results The overall HPV prevalence was 22.51% in Chengdu. During 2015–2020, the highest prevalence rate was observed in 2018. Age-specific HPV distribution displayed a bimodal distribution among women aged ≤25 or ≥46 years old. The top three prevalent genotypes were HPV52, -16, and -58. Although the total prevalence of HPV in Aba was 14.23%, there was an upward trend from 2018 to 2021. However, no significant differences were identified in HPV infection rate across all age groups. HPV52, -53, and -16 were the major genotypes. Furthermore, single-type HPV infections and high-risk HPV infections were identified as the most common infection types in both regions. Conclusion Our findings demonstrate the overall prevalence of HPV was still high in Chengdu and Aba. The age-specific prevalence distribution demonstrated different patterns. Non-vaccine-covered HR-HPV53, -51and LR-HPV81, -CP8304 were frequently detected, which was worth significant clinical attention. In summary, regional HPV screening provides valuable clinical guidance for cervical cancer prevention and vaccine selection in Western China.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0304760
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0304760&type=printable
- OA Status
- gold
- Cited By
- 6
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399621588
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- OpenAlex ID
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https://openalex.org/W4399621588Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0304760Digital Object Identifier
- Title
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Prevalence characteristics of cervical human papillomavirus infection in Chengdu and Aba District, Sichuan Province, ChinaWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-13Full publication date if available
- Authors
-
Qianqian Wang, Min Xu, Hua Zhou, Yahui Li, Ji‐chun Ma, Xuan Zhu, Weijun HeList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pone.0304760Publisher landing page
- PDF URL
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0304760&type=printableDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0304760&type=printableDirect OA link when available
- Concepts
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Medicine, HPV infection, Genotype, Human papillomavirus, Demography, Prevalence, Young adult, Cervical cancer, Epidemiology, Internal medicine, Biology, Cancer, Gene, Biochemistry, SociologyTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2025: 6Per-year citation counts (last 5 years)
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48Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.samples | 93 |
| abstract_inverted_index.status, | 41 |
| abstract_inverted_index.testing | 112 |
| abstract_inverted_index.vaccine | 285 |
| abstract_inverted_index.Although | 174 |
| abstract_inverted_index.Chengdu. | 138 |
| abstract_inverted_index.December | 98 |
| abstract_inverted_index.February | 95 |
| abstract_inverted_index.Hospital | 84 |
| abstract_inverted_index.However, | 193 |
| abstract_inverted_index.Maternal | 104 |
| abstract_inverted_index.cervical | 76, 281 |
| abstract_inverted_index.clinical | 269, 278 |
| abstract_inverted_index.economic | 40 |
| abstract_inverted_index.epidemic | 51 |
| abstract_inverted_index.evidence | 49 |
| abstract_inverted_index.findings | 236 |
| abstract_inverted_index.genotype | 2, 111 |
| abstract_inverted_index.guidance | 279 |
| abstract_inverted_index.observed | 146 |
| abstract_inverted_index.patterns | 52 |
| abstract_inverted_index.provides | 276 |
| abstract_inverted_index.regional | 273 |
| abstract_inverted_index.regions. | 13, 233 |
| abstract_inverted_index.summary, | 272 |
| abstract_inverted_index.valuable | 277 |
| abstract_inverted_index.HR-HPV53, | 258 |
| abstract_inverted_index.Hospital. | 108 |
| abstract_inverted_index.LR-HPV81, | 260 |
| abstract_inverted_index.Province, | 34 |
| abstract_inverted_index.September | 89 |
| abstract_inverted_index.Women’s | 80 |
| abstract_inverted_index.analyzed. | 129 |
| abstract_inverted_index.collected | 101 |
| abstract_inverted_index.conducted | 69 |
| abstract_inverted_index.detected, | 264 |
| abstract_inverted_index.determine | 18 |
| abstract_inverted_index.different | 12, 255 |
| abstract_inverted_index.displayed | 152 |
| abstract_inverted_index.genotypes | 168 |
| abstract_inverted_index.high-risk | 220 |
| abstract_inverted_index.infection | 8, 201, 229 |
| abstract_inverted_index.location, | 39 |
| abstract_inverted_index.patterns. | 256 |
| abstract_inverted_index.performed | 114 |
| abstract_inverted_index.prevalent | 167 |
| abstract_inverted_index.programs. | 62 |
| abstract_inverted_index.screening | 61, 77, 275 |
| abstract_inverted_index.selection | 286 |
| abstract_inverted_index.underwent | 75 |
| abstract_inverted_index.Conclusion | 234 |
| abstract_inverted_index.Meanwhile, | 91 |
| abstract_inverted_index.attention. | 270 |
| abstract_inverted_index.frequently | 263 |
| abstract_inverted_index.genotypes. | 214 |
| abstract_inverted_index.identified | 198, 224 |
| abstract_inverted_index.infections | 218, 222 |
| abstract_inverted_index.prevalence | 20, 134, 143, 177, 240, 252 |
| abstract_inverted_index.prevention | 283 |
| abstract_inverted_index.demonstrate | 237 |
| abstract_inverted_index.differences | 196 |
| abstract_inverted_index.prevalence, | 120, 124 |
| abstract_inverted_index.real‐time | 116 |
| abstract_inverted_index.significant | 195, 268 |
| abstract_inverted_index.single-type | 216 |
| abstract_inverted_index.vaccination | 59 |
| abstract_inverted_index.2015–2020, | 140 |
| abstract_inverted_index.Age-specific | 149 |
| abstract_inverted_index.Children’s | 82 |
| abstract_inverted_index.Furthermore, | 215 |
| abstract_inverted_index.age-specific | 123, 251 |
| abstract_inverted_index.demonstrated | 254 |
| abstract_inverted_index.distribution | 3, 23, 127, 151, 155, 253 |
| abstract_inverted_index.geographical | 38 |
| abstract_inverted_index.retrospective | 65 |
| abstract_inverted_index.type-specific | 22 |
| abstract_inverted_index.implementation | 57 |
| abstract_inverted_index.papillomavirus | 6 |
| abstract_inverted_index.cross-sectional | 66 |
| abstract_inverted_index.Non-vaccine-covered | 257 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 98 |
| corresponding_author_ids | https://openalex.org/A5100659690, https://openalex.org/A5101861381, https://openalex.org/A5102688912, https://openalex.org/A5084645019, https://openalex.org/A5092084016, https://openalex.org/A5101772086, https://openalex.org/A5101158082 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I150229711, https://openalex.org/I4210090173 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8700000047683716 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.91988176 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |