Evidence map›Paper›PMID 28583102›Full record

ArticleBMC infectious diseases2017

Analysis of epidemiological trends in human papillomavirus infection among gynaecological outpatients in Hangzhou, China, 2011-2015.

Lili Qian, Yu Zhang, Dawei Cui, Bin Lou, Yimin Chen, Ying Yu, Yonglin Liu, Yu Chen

Abstract read
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  9. Article
  10. Genital Human Papillomavirus Prevalence and Genotyping Among Males in Putuo District of Shanghai, China 2015-2019.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Human Papilloma Viruses and Their Genotype Distribution in Women with High Socioeconomic Status in Central Anatolia, Turkey: A Pilot Study.Medical science monitor : international medical journal of experimental and clinical research · 2018
    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

8 authors.

Lili QianDepartment of Laboratory Medicine, the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Yu ZhangDepartment of Laboratory Medicine, the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Dawei CuiDepartment of Laboratory Medicine, Center of Clinical Laboratory, the First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79, Qingchun Road, Hangzhou, 310003, China.
Bin LouDepartment of Laboratory Medicine, Center of Clinical Laboratory, the First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79, Qingchun Road, Hangzhou, 310003, China.
Yimin ChenDepartment of Laboratory Medicine, the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Ying YuDepartment of Laboratory Medicine, the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Yonglin LiuDepartment of Laboratory Medicine, the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Yu ChenDepartment of Laboratory Medicine, Center of Clinical Laboratory, the First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79, Qingchun Road, Hangzhou, 310003, China. chenyu_zy@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract



backgroundHPV infection is the major pathogenic factor underlying cervical cancer and precancerous lesions. The cervical HPV infection rates in gynaecological outpatients from Hangzhou, China, were studied in the period from January 2011 to December 2015. 

methodsExfoliated cervical cells were harvested from gynaecological outpatients in Hangzhou from January 2011 to December 2015. Twenty-one HPV subtypes were detected using flow-through hybridization. The HPV infection rates in various disease groups were compared using the Chi-square test. The infection rates of different HPV subtypes in different calendar years and in different age groups were analysed using the linear-by-linear association test and gamma value.

resultsA total of 43,804 patients were recruited, of whom 9752 (22.3%) were infected with HPV. The top five among the 21 HPV subtypes detected in terms of infection rates were HPV-16, -52, -58, -53 and -18. No significant differences (linear-by-linear association test) were found in the HPV infection rates when compared over the studied years (P > 0.05). However, the 15-24-year-old age group showed the highest HPV infection rate, and significant differences (linear-by-linear association test) were detected among the different age groups (P < 0.05). The HPV infection rates exhibited an upward trend in the 15-24-year-old and >24-34-year-old groups over the past five years. There were significant differences in the HPV infection rates among the disease groups (P < 0.05).

conclusionsHPV-16, -52 and -58 were the major HPV infection subtypes in Hangzhou, China. The 15-24-year-old age group had a relatively high HPV infection rate with an upward trend over the past five years and thus represented a population susceptible to HPV infection.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsChinaFemaleHuman papillomavirus 16HumansMiddle AgedOutpatientsPapillomaviridaePapillomavirus InfectionsYoung AdultEpidemiologyFlow-through hybridizationGenotypeHuman papillomavirus

Identifiers

PMID28583102
PMCPMC5460518

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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.