Evidence map›Paper›PMID 26773182›Full record

ArticleBosnian journal of basic medical sciences2016

Prevalence of and risk factors for high-risk human papillomavirus infection: a population-based study from Hetian, Xinjiang, China.

Mayinuer Niyazi, Sulaiya Husaiyin, Lili Han, Huduyum Mamat, Kundus Husaiyin, Lin Wang

Abstract read
In one paragraph

Article in Bosnian journal of basic medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

  1. Article
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  8. Risk Factors for Endometrial Cancer: Results from a Hospital-Based Case-Control StudyAsian Pacific journal of cancer prevention : APJCP · 2016
    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

6 authors.

Mayinuer NiyaziDepartment of Gynecology, Cancer Institute/hospital, Xinjiang people's Hospital, Urumqi, China. mayinniya@163.com.
Sulaiya Husaiyin
Lili Han
Huduyum Mamat
Kundus Husaiyin
Lin Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human papillomavirus (HPV) infection contributes to most cases of cervical cancer, and HPV genotypes exhibit different distributions according to geographic region. This study evaluates the prevalence of HPV infection in Hetian Prefecture, Xinjiang, and establishes risk factors associated with high-risk HPV (HR-HPV) genotypes in this region. In this cross-sectional, population-based study, 883 healthy women 15-54 years of age were enrolled. All participants completed a questionnaire regarding sociocultural and sexual activity characteristics. Visual inspections with acetic acid, colposcopies and biopsies were performed using the Preventive Oncology International microbiopsy protocol for pathological diagnosis. Cervical epithelial tissue specimens were collected and tested for HPV using linear array assays. According to the results of HR-HPV infection status, individuals infected with HR-HPV were classified into one group, and the remaining individuals were classified into the control group. The risk factors for HR-HPF infection were analyzed. The participants included 66 women (7.47%) with HR-HPV, 10 women (1.13%) with low-risk HPV, and 14 women (1.59%) with HPV of unknown risk. The five most prevalent types of HR-HPV were HPV-16 (0.31%), HPV-51 (0.08%), HPV-31 (0.07%), HPV-58 (0.07%), and HPV-39 (0.06%). Vulvovaginal ulcers and vulvovaginal inflammation were found in 190 participants (21.52%) and 256 participants (28.99%), respectively. The HR-HPV and control groups significantly differed with respect to age at first marriage, number of marriages, and the presence of vulvovaginal ulcers and vulvovaginal inflammation (p<0.05). Based on this study, an immunization strategy targeting HPV-16 should be prioritized in Hetian Prefecture. These findings contribute to the understanding of HPV infection.

Indexed as

AdolescentAdultBiopsyChinaColposcopyCross-Sectional StudiesFemaleGenotypeHuman papillomavirus 16Human papillomavirus 31HumansInflammationMiddle AgedPapillomavirus InfectionsPrevalenceRisk Factors

Identifiers

PMID26773182
PMCPMC4765939

What OpenQuestion holds

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Registered trials

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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.