ArticleThe open virology journal2009
Human Papillomavirus (HPV) Type Distribution in Females with Abnormal Cervical Cytology. A Correlation with Histological Study.
Article in The open virology journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 27 citations in OpenAlex.
- Article
- Prevalence of human papillomavirus infection among Iranian women using COBAS HPV DNA testing.Infectious agents and cancer · 2018Article
- Shift in prevalence of HPV types in cervical cytology specimens in the era of HPV vaccination.Oncology letters · 2016Article
- Prevalence and molecular epidemiology of human papillomavirus infection in italian women with cervical cytological abnormalities.Journal of public health research · 2014Article
- Human papillomavirus types distribution in eastern Sicilian females with cervical lesions. A correlation with colposcopic and histological findings.Pathology oncology research : POR · 2013Article
- Article
- Human papillomavirus genotype distribution in Madrid and correlation with cytological data.BMC infectious diseases · 2011Article
- Downstream processing of cell culture-derived virus particles.Expert review of vaccines · 2011Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to determine human papillomavirus (HPV) types distribution in cervical preneoplasic lesions in a Southern Spanish population and their relationship between HPV type and grade of histopathological abnormality. Finally, 232 cervical samples from 135 women with previous cytological abnormalities were included in this study. Colposcopy studies and biopsies were performed. Haematoxylin-eosin stained slides were observed and detection of HPV DNA in cervical swabs was carried out with use of a polymerase chain reaction and microarrays technology. The relationship between the presence of HPV infection and diagnostic variables was evaluated. HPV 16 was the most common type followed by HPV 58, 51, 33 and 31. However, the two HPV types targeted in the prophylactic vaccines such as HPV type 16 and 18 were detected in only 37 (21.2%) and 2 (1.1%) cases respectively. Thirty-three (18.9%) of samples were infected with multiple types, the majority of them with two types. In addition, during the follow-up of patients many changes in type distribution were observed. Several studies will be necessary in order to evaluate the HPV type distribution for therapeutically and prophylactic purposes such as vaccine treatment. Also, because of the differences obtained depending of use of various DNA technologies, the performance of some comparative studies of the different methods from detection of HPV would be advisable in a high population of patients and with the most homogeneous conditions possible.
Identifiers
What OpenQuestion holds
Registered trials
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.