Evidence map›Paper›PMID 27494179›Full record

ArticlePloS one2016

Prevalence of High-Risk Human Papillomavirus (HR-HPV) Genotypes and Multiple Infections in Cervical Abnormalities from Northern Xinjiang, China.

Lina Wang, Pengyan Wang, Yan Ren, Jingyun Du, Jianjun Jiang, Xuesong Jia, Chuangfu Chen, Yuanzhi Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.6field-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

18 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
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  4. Oral HPV infection clearance and acquisition after nonavalent vaccination in men who have sex with men and transgender women: a prospective analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
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  13. Human Papillomavirus Status in Primary Lesions and Pelvic Lymph Nodes and Its Prognostic Value in Cervical Cancer Patients with Lymph Node Metastases.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
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  15. Article
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  17. Observational
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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 at 1 institution in 1 country.

Lina WangSchool of Animal Science and Technology, Shihezi University, Shihezi, Xinjiang Uygur Autonomous Region, People's Republic of China.
Pengyan WangSchool of Animal Science and Technology, Shihezi University, Shihezi, Xinjiang Uygur Autonomous Region, People's Republic of China.
Yan RenSchool of Medicine, Shihezi University, Shihezi, Xinjiang Uygur Autonomous Region, People's Republic of China.
Jingyun DuMaternal and Child Health Hospital, Baoding, Hebei Province, People's Republic of China.
Jianjun JiangSchool of Animal Science and Technology, Shihezi University, Shihezi, Xinjiang Uygur Autonomous Region, People's Republic of China.
Xuesong JiaFirst Affiliated Hospital of the School of Medicine, Shihezi University, Shihezi, Xinjiang Uygur Autonomous Region, People's Republic of China.
Chuangfu ChenSchool of Animal Science and Technology, Shihezi University, Shihezi, Xinjiang Uygur Autonomous Region, People's Republic of China.
Yuanzhi WangSchool of Medicine, Shihezi University, Shihezi, Xinjiang Uygur Autonomous Region, People's Republic of China.
Shihezi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple human papillomavirus (HPV) genotypes often coexist within the cervical epithelia and are frequently detected together in various grades of the cervical neoplasia. To date, only a few reports exist on multiple HPV infections of HPV in Xinjiang Uygur Autonomous Region (XUAR). In the present study, we investigated the prevalence of High-Risk HPV (HR-HPV) genotypes and multiple infections. Cervical cytology samples were collected from 428 women who presented cervical abnormalities. Genotyping of HPV was performed by polymerase chain reaction-sequencing based typing (PCR-SBT) using consensus primers and specific primers. Of them, 166 samples were positive for HPV according to PCR results using the consensus primers. These samples contained cervical abnormalities enriched with inflammation (n = 107), cervical intraepithelial neoplasia (CIN) I (n = 19), CINII-III (n = 9) and cervical cancer (n = 31). Of the 166 HPV positive samples as determined by PCR analysis, 151 were further typed by PCR-SBT using 19 pairs of genotype-specific primers. Using this method, 17 different HR-HPV genotypes were identified. The most frequently observed HPV genotypes were HPV16 (44.0%, 73/166), 53 (28.9%, 48/166), 52 (25.3%, 42/166), 58 (22.3%, 37/166) and 35 (17.5%, 29/166). The proportions of single and multiple infections in the HPV-positive specimens were 34.9% and 65.1%, respectively. Multiple HPV types were most prevalent in the inflammatory state (63.0%), followed by cervical cancer (24.1%), CINI (11.1%), and CINII-III (1.9%). The results of our data analyses suggested that i) multiple HPV infection is not necessarily correlated with the severity of cervical abnormalities; and ii) among the multiple HPV infections, double infections combined with HPV16 is the most common. In addition, L1 full-length sequences of the top five high-risk HPV genotypes were amplified and sequenced. According to the L1 sequence of the epidemic genotypes that were amplified, we found that these genotypes contained the sequence point mutation, and that some of these genotypes further showed amino acid modifications. These results provide a basis for the construction of a polyvalent vaccine that is suitable for use in the XUAR, even in economically challenged communities located in China.

Indexed as

AdolescentAdultAgedChinaDNA, ViralFemaleGenotypeHumansMiddle AgedNeoplasm GradingPapillomaviridaePapillomavirus InfectionsPolymerase Chain ReactionPrevalenceRisk FactorsUterine Cervical DysplasiaDNA, Viral

Identifiers

PMID27494179
PMCPMC4975475
OpenAlexW2483617857

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.