ArticleJournal of medical virology2013
Dried cervical spots for human papillomaviruses identification.
Article in Journal of medical virology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cervical cancer prevention and treatment research in Africa: a systematic review from a public health perspective.BMC women's health · 2016Pooled it
- Self-sampling for human papillomavirus DNA detection: a preliminary study of compliance and feasibility in BOLIVIA.BMC women's health · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Financial and operational constraints limit low-resource countries in the screening of high-risk genital human papillomaviruses (HR-HPV), the etiological agents of cervical cancer. With its simple storage, conservation and shipping, dried cervical sample (DCS) could represent an efficient tool. The aim of the study was to evaluate the reliability of HPV genotyping from DCS. Cervical samples were obtained from 50 women infected with HIV-1 in Côte d'Ivoire. After DNA extraction from both DCS and matched liquid cervical samples (LCS), HPV genotyping was performed and the concordance of genotyping results was evaluated. HPV prevalence was 88% in LCS and 78% in DCS. Kappa statistic was 0.51 for the presence of any genotype (95% confidence interval, 0.25-0.77) and 0.73 for HR-HPV (0.45-0.99). Out of 50 samples, 45 were HPV-positive for DCS and/or LCS, and HR-HPV were detected in 37 samples (74%) with 36 HR-HPV multiple infections. Any genotype and HR genotype identification was concordant/compatible in 86% (43/50) and 88% (44/50) of samples, respectively. In most instances, kappa statistics for detection of type-specific HPV was over 0.6 (including HPV-16, -18, -31, -33). An excellent agreement (kappa statistic ≥ 0.81) was found for eight genotypes (HPV-6, -31, -35, -40, -56, -58, -66, and -82). In spite of interfering factors (multiple infections, different HPV loads, amplification competition, different inputs), DCS and LCS led to concordant/compatible results in most cases. DCS could represent an efficient tool for epidemiological field studies in resource-limited settings, and more importantly for improving the screening coverage and care management in women infected with HPV.
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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.