ArticleJournal of clinical microbiology2011
Evaluation of a novel multiplex human papillomavirus (HPV) genotyping assay for HPV types in skin warts.
Article in Journal of clinical microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 22 citations in OpenAlex.
- Characterization of type-specific HPV prevalence in a population of persistent cutaneous warts in Flanders, Belgium.Scientific reports · 2023Trial
- Determination of Causative Human Papillomavirus Type in Tissue Specimens of Common Warts Based on Estimated Viral Loads.Frontiers in cellular and infection microbiology · 2020Article
- [Low-dose prophylactic oral isotretinoin treatment for 18 years in a patient with epidermodysplasia verruciformis and numerous squamous cell carcinomas].Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete · 2018Article
- Detection of High-Risk Human Papillomavirus Genotypes 16 and 18 in Head and Neck Squamous Cell Carcinomas in JordanAsian Pacific journal of cancer prevention : APJCP · 2017Article
- Bead-based multiplex genotyping of 58 cutaneous human papillomavirus types.Journal of clinical microbiology · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human papillomaviruses (HPV) of the genera alpha, mu, and nu induce benign tumors of the cutaneous epithelia that constitute a significant burden for immunocompromised adults. Currently, no gold standard for genotyping of these HPV types exists. In this study, we describe the prevalence of genus alpha, mu, and nu HPV types in cutaneous warts. We developed a novel multiplex HPV genotyping assay, BSwart-PCR/MPG (BSwart), to type sensitively and specifically 19 cutaneous HPV types frequently found in warts. BSwart-PCR/MPG is based on a multiplex PCR using broad-spectrum primers and subsequent multiplex hybridization to type-specific probes coupled to Luminex beads. In a first application comprising 100 cutaneous warts, the assay was compared to another, recently described genotyping assay, the HSL-PCR/MPG. When a 10-fold dilution series was used, the detection limit was between 10 and 100 HPV genomes per PCR. When comparing the two assays, there was an excellent agreement in detecting dominant HPV types; however, we also obtained evidence for a higher sensitivity of the BSwart assay for multiple infections in these cutaneous warts. Using BSwart, HPV was found in 95% of wart preparations, with HPV1 being most prevalent, followed by types 27, 57, and 2. Both novel BSwart and HSL-PCR/MPG HPV genotyping assays are powerful high-throughput tools that could be used to learn more about the natural history of cutaneous HPV. They would be advantageous to monitor the efficacy of future skin HPV vaccines and to identify novel HPV vaccine candidates.
Indexed as
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.