Evidence map›Paper›PMID 36605868›Full record

ReviewJournal of cytology

The Prevalence of Cervical HPV Infection and Genotype Distribution in 856,535 Chinese Women with Normal and Abnormal Cervical Lesions: A Systemic Review.

Yan-Qin Yu, Jin-Qi Hao, Maria J G Mendez, S Bangura Mohamed, Shi-Lan Fu, Fang-Hui Zhao, You-Lin Qiao

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of cytology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% of its field
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Clinical significance ofFrontiers in cellular and infection microbiology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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 at 3 institutions in 2 countries.

Yan-Qin YuDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jin-Qi HaoDepartment of Public Health and Preventive Medicine, Baotou Medical College, Baotou, Inner Mongolia, China.
Maria J G MendezDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
S Bangura MohamedDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shi-Lan FuDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Fang-Hui ZhaoDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
You-Lin QiaoDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNBaotou Medical College · CNNational Clinical Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer is the commonest cancer affecting women worldwide. During the last decades, the incidence and mortality rates of cervical cancer have increased in China. This research aims to assess the overall and genotype-specific prevalence of the human papillomavirus (HPV) infection among Chinese women with normal cervix, considering age, and geographic location. We selected studies about HPV prevalence in women from Chinese in Mainland China with normal cervix and abnormal cervical lesions, published between January 1995 and December 2020. The HPV prevalence was analyzed using meta-analysis based on the following: cytological and histological diagnoses, regions, and ages. The overall HPV prevalence in 856,535 women was 14.3%, 95% confidence interval (CI) and it increased from 8.2% to 16.5% in studies published from 2006 to 2020. The prevalence of high-risk (HR) and low-risk (LR) HPV types was 11.3% and 2.7%, respectively. The commonest types of HPV in women from Mainland China were HPV 16 (2.6%), 52 (2.4%), 58 (1.7%), 18 (0.9%), and 33 (0.8%). According to the geographical analysis, the prevalence of different HPV genotypes varied by region, Central China had the highest overall HPV prevalence. HPV16 was the commonest type in all the regions except in South China and East China, where HPV52 was found to be common. Regarding diagnosis, the HPV infection led to cervical cancer diagnosis by cytology and histology with 90.1% and 91.5% rates, respectively. HPV16 and HPV18 were common types associated with cervical cancer diagnosed by cytology and histology. HPV 16, 58, 52, 18, and 33 were the commonest types found in women with normal cervixes from Mainland China. The prevalence of different HPV genotypes varied by age group and region.

Indexed as

Genotypehuman papillomavirusMainland Chinaprevalence

Identifiers

PMID36605868
PMCPMC9809425
OpenAlexW4312548294

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.