ArticleThe Journal of molecular diagnostics : JMD2004
Performance assessment of eight high-throughput PCR assays for viral load quantitation of oncogenic HPV types.
Article in The Journal of molecular diagnostics : JMD, 2004. 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, 26 citations in OpenAlex.
- Current Updates on Cancer-Causing Types of Human Papillomaviruses (HPVs) in East, Southeast, and South Asia.Cancers · 2021Review
- Prevalence ofInternational journal of environmental research and public health · 2019Article
- HPV-16, HPV-58, and HPV-33 are the most carcinogenic HPV genotypes in Southwestern China and their viral loads are associated with severity of premalignant lesions in the cervix.Virology journal · 2018Article
- Article
- Prevalence and type distribution of human papillomavirus infection in women from North Sardinia, Italy.BMC public health · 2011Article
- Human papillomavirus (HPV) detection using in situ hybridization in histologic samples: correlations with cytologic changes and polymerase chain reaction HPV detection.American journal of clinical pathology · 2011Article
- Evaluation of a commercialized in situ hybridization assay for detecting human papillomavirus DNA in tissue specimens from patients with cervical intraepithelial neoplasia and cervical carcinoma.Journal of clinical microbiology · 2008Article
- Laboratory and clinical aspects of human papillomavirus testing.Critical reviews in clinical laboratory sciencesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Infection with mucosotropic human papillomavirus (HPV) is the necessary cause of cervical intraepithelial neoplasia. Several epidemiological studies suggest that HPV viral load can be a risk factor of cervical dysplasia. The purpose of the present study was to evaluate a methodology to determine HPV viral load of eight oncogenic HPV types (16, 18, 31, 39, 45, 51, 52, and 58). The quantitation assay is based on a high-throughput real-time PCR. The E6-E7 region of HPV types 16, 18, 45, and 51 were used to amplify specific DNA sequences and cloned into a plasmid vector. The constructs for HPV types 16, 18, 45, and 51, and the whole genome for HPV types 31, 39, 52, and 58 were quantitated using a limiting dilution analysis and used to create standard curves. Type-specific HPV clones were used to determine specificity, linearity, and intra- and inter-assay variation. The sensitivity of our assay covered a dynamic range of up to seven orders of magnitude with a coefficient of intra-assay variation less than 6% and the inter-assay variation less than 20%. No cross-reactivity was observed on any of the type-specific standard curves when phylogenetically close HPV types were used as templates. Our real-time PCR methodologies are highly reproducible, sensitive, and specific over a sevenfold magnitude dynamic range.
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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.