Evidence map›Paper›PMID 26347799›Full record

ArticleInfectious agents and cancer2015

Frequency of Human Papilloma Virus (HPV) subtypes 31,33,35,39 and 45 among Yemeni women with cervical cancer.

Hussain Gadelkarim Ahmed, Saleh Hussein Bensumaidea, Ibraheem M Ashankyty

Open access · goldAbstract read
In one paragraph

Article in Infectious agents and cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Detection of High-Risk Human Papillomavirus DNA in Invasive Ductal Carcinoma Specimens.Asian Pacific journal of cancer prevention : APJCP · 2022
    Article
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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

3 authors at 2 institutions in 2 countries.

Hussain Gadelkarim AhmedMolecular Diagnostics and Personalized Therapeutics Unit, University of Ha'il, Ha'il, Kingdom of Saudi Arabia ; Department of Pathology, College of Medicine, University of Ha'il, 2240 Hai'l, Kingdom of Saudi Arabia ; Department of Histopathology and Cytology, FMLS, University of Khartoum, Khartoum, Sudan.
Saleh Hussein BensumaideaDepartment of Pathology, College of Medicine, Hadhramout University of Science and Technology, Hadhramout, Yemen.
Ibraheem M AshankytyMolecular Diagnostics and Personalized Therapeutics Unit, University of Ha'il, Ha'il, Kingdom of Saudi Arabia ; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, University of Ha'il, Ha'il, Kingdom of Saudi Arabia.
University of Ha'il · SAHadhramout University · YE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentification of different HPV subtypes in unidentified communities provides sufficient information for screening and monitoring potential impact of a vaccination program. Therefore, the aim of this study was to screen for the presence of HPVs subtypes 31,33,35,39 and 45 among Yemeni women with Cervical Cancer. METHODOLOGY: A total of 200 (150 malignant and 50 benign) tissue samples were obtained from Yemeni women with cervical cancer, were investigated for the presence of HPV subtypes 31,33,35,39 and 45 by Polymerase Chain Reaction (PCR).

resultsOf the 150 cervical cancer tissue specimens, HPV 31, HPV 33, HPV35, HPV 39 and HPV45 were identified in 10/150 (6.7 %), 6/150 (4 %), 6/150 (4 %), 5/150 (3.3 %) and 10/150 (6.7 %), respectively. The frequency of these HPV subtypes among Yemeni women with cervical cancer was 24 %.

conclusionHPV 31, HPV 33, HPV35, HPV 39 and HPV45 were prevalent among Yemeni women with cervical cancer.

Indexed as

Cervical cancerHPV31HPV33HPV35HPV39HPV45Yemeni

Identifiers

PMID26347799
PMCPMC4561418
OpenAlexW2122108201

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.