Evidence map›Paper›PMID 29286606›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2017

Human Papilloma Virus Genotype Distribution in Cervical lesions in Zanjan, Iran

Shahrzad Ahmadi, Hossein Goudarzi, Ahmad Jalilvand, Abdolreza Esmaeilzadeh

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2017. 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

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

8 citing papers in PubMed.

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  8. HPV73 a nonvaccine type causes cervical cancer.International journal of cancer · 2020
    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

4 authors.

Shahrzad AhmadiRazi Vaccine and Serum Research Institute, Karaj, Alborz. Email: a46reza@zums.ac.ir
Hossein Goudarzi
Ahmad Jalilvand
Abdolreza Esmaeilzadeh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Cervical cancer is one of the most common cancers among women all over the world, and main cause is persistent infection with high risk human papillomavirus (HPV) strains. It has been reported that the distribution and prevalence of HPV types varies by geographical region, so that this is important for prevention by type-specific vaccines. The aim of current study was to determine the genotype distribution of HPV using the INNO-LiPA genotyping assay in Zanjan province, North West Iran. Methods: A total of 112 formalin-fixed paraffin embedded (FFPE) tissue samples from cases of low-grade intraepithelial lesion (LSIL), high-grade intraepithelial lesion (HSIL) and squamous cell carcinoma (SCC) were collected. The polymerase chain reaction (PCR) was used to amplify DNA for genotyping. Results: Among the 112 samples from females (ranging from 20 to 69 years, mean age 43.8 ± 10.1) tested for HPV DNA, 50 samples were positive. Based on results of genotyping, most common HPV genotypes were HPV18 (48%) followed by HPV-6 (24%), HPV73 (16%), HPV-51(8%), HPV-31(8%), HPV-16 (8%), HPV-56 (4%), HPV-44 (4%). Conclusion: While HPV infection is the major etiological factor for cervical cancer, presence was relatively low in our survey. In the positive cases, however, HPV18 was the most common in line with many other populations. The fact that types vary among different populations must clearly be taken into account in design of vaccines for our country.

Indexed as

AdultAgedCarcinoma, Squamous CellDNA, ViralFemaleFollow-Up StudiesGenotypeHumansIranMiddle AgedPapillomaviridaePapillomavirus InfectionsPrevalencePrognosisUterine Cervical DysplasiaUterine Cervical NeoplasmsDNA, Viralcervical cancerHuman papilloma virusINNOIranLiPAZanjan

Identifiers

PMID29286606
PMCPMC5980897

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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.