Trial reportBioMed research international2018
Prevalence and Genotype Distribution of Human Papillomavirus in Invasive Cervical Cancer, Cervical Intraepithelial Neoplasia, and Asymptomatic Women in Southeast China.
Trial report in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled 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.
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
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Association between serum iron levels and the risk of cervical cancer in Chinese: a meta-analysis.The Journal of international medical research · 2020Pooled it
- Circulating HPV cDNA in the blood as a reliable biomarker for cervical cancer: A meta-analysis.PloS one · 2020Pooled it
- HPV genotype distribution and cervical lesion severity in HPV-positive women: a study from the Guizhou Province cervical cancer screening program.Virology journal · 2025Article
- Liquid biopsy biomarkers in cervical cancer: A systematic review and meta-analysis.The journal of liquid biopsy · 2025Review
- Obesity and cervical intraepithelial neoplasia: regulation of mitochondrial energy metabolism via the Kisspeptin/GPR54 signaling pathway.Cancer & metabolism · 2025Article
- High Concordance between Vaginal Samples and Cervical Samples of Human Papillomavirus in Women Living with HIV in Rwanda.BMC infectious diseases · 2025Article
- Operational Feasibility and Performance of mRPA Versus PCR for the Detection of HPV Types 16, 18, and 52 in Clinical Samples: An Exploratory Study.International journal of women's health · 2025Article
- Human papillomavirus infection of the fallopian tube as a potential risk factor for epithelial ovarian cancer.Scientific reports · 2024Article
- Prevalence and genotype distribution of human papillomavirus infection among 66000 women from 2014 to 2023 in the plateau region of Southwest China.Virology journal · 2024Article
- Cervical Cancer Genetic Profile through Circulating Tumor DNA: What Can We Learn from Blood?Biomolecules · 2024Review
- An E7-retinoblastoma protein pathway mechanism may account for the higher carcinogenic ability of HPV16 over HPV58 in cervical cancer.Translational cancer research · 2024Article
- Development of a sensitive droplet digital PCR according to the HPV infection specificity in Chinese population.BMC cancer · 2023Article
- Prevalence and genotype distribution of HPV infection among women in Xiamen, China.Frontiers in microbiology · 2023Article
- Relationship between Human Papillomavirus Prevalence and DNA Damage in Cervical Cancer Population in Gansu Province, China.Intervirology · 2022Article
- Patient Satisfaction With Human Papillomavirus Self-Sampling in a Cohort of Ethnically Diverse and Rural Women in Yunnan Province, China.Journal of lower genital tract disease · 2020Article
- Simultaneous Detection and Viral DNA Load Quantification of Different Human Papillomavirus Types in Clinical Specimens by the High Analytical Droplet Digital PCR Method.Frontiers in microbiology · 2020Article
- Application of the Cobas 4800 System for the Detection of High-Risk Human Papillomavirus in 5650 Asymptomatic Women.BioMed research international · 2020Article
- Article
- Prevalence of HPV Genotypes in South Europe: Comparisons between an Italian and a Turkish Unvaccinated Population.Journal of environmental and public health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cervical cancer is one of the leading causes of cancer-related deaths among women and it is caused by the human papillomavirus (HPV). High variation has been reported in the attribution of specific HPV genotypes to cervical neoplasia among various geographic regions. For effective control of cervical cancer through HPV vaccination, it is essential to estimate the cost-effectiveness of vaccination, to monitor the potential transition into other HPV genotypes, and to understand the distribution of specific HPV genotypes across a specific geographic region. In this study, the distribution of HPV genotypes was investigated in southeast China, from 2011 to 2016. The 12,816 cervical swabs collected from women (age 18-78 years, median 43.6 years) outpatients were analyzed. HPV prevalence among 12,816 cervical swabs analyzed was 22.3% (2,856/12,816). Among these positive cases, 2,216 had only one HPV genotype while 640 had multiple HPV genotypes. The cases with multiple types revealed 23 different HPV genotypes with the five most prevalent being HPV18 (18.2%), HPV52 (14.1%), HPV16 (11.9%), HPV58 (10.6%), and HPV33 (5.5%). The rates of HPV infection in patients with cervical inflammation, CIN-1, CIN-2, CIN-3, squamous carcinoma, and adenocarcinoma were 38.4%, 80.5%, 82.6%, 92.3%, 97.5%, and 93.4%, respectively. Four HPV genotypes, HPV18, HPV16, HPV52, and HPV58, were more prevalent in patients with CIN-2-CIN-3 and invasive cervical cancer. A comparison of HPV genotypes attribution to cervical cancer between southeast China and global incidences revealed distinct differences. Due to this unique prevalence, it is essential to streamline the vaccination development protocol prior to administering vaccines based on global data.
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