ArticleThe Journal of general virology2013
Human papillomavirus type 16 viral load measurement as a predictor of infection clearance.
Article in The Journal of general virology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 41 citations in OpenAlex.
- Results of phase 2 trials exploring the safety and efficacy of omiganan in patients with human papillomavirus-induced genital lesions.British journal of clinical pharmacology · 2020Trial
- The influence of probiotics on genital high-risk human papilloma virus clearance and quality of cervical smear: a randomized placebo-controlled trial.BMC women's health · 2019Trial
- Association of Human Papillomavirus 31 DNA Load with Risk of Cervical Intraepithelial Neoplasia Grades 2 and 3.Journal of clinical microbiology · 2015Trial
- The cervicovaginal microbiome: an emerging determinant of HPV infection and disease.Journal of virology · 2026Review
- Bidirectional Interactions Between Cervicovaginal Microbiota and Human Papillomavirus Drive Persistence and Disease Progression.International journal of molecular sciences · 2026Review
- International Collaborative Study on Human Papillomavirus Analytical Thresholds for Sensitivity and Specificity in Cervical Screening.Journal of medical virology · 2026Article
- Metagenomic insight into the vaginal microbiome in women infected with HPV 16 and 18.NPJ biofilms and microbiomes · 2025Article
- Highly sensitive deep panel sequencing of 27 HPV genotypes in prostate cancer biopsies results in very low detection rates and indicates that HPV is not a major etiological driver of this malignancy.Infectious agents and cancer · 2024Article
- HPV vaccination status and effectiveness in Korean women with HPV16/18 infection (2010-2021): a retrospective study.Journal of gynecologic oncology · 2024Article
- Article
- Naturally developed HPV16 antibodies and risk of newly detected cervical HPV infection outcomes.Journal of medical virology · 2024Article
- Stress keratin 17 and estrogen support viral persistence and modulate the immune environment during cervicovaginal murine papillomavirus infection.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- A comprehensive HPV-STI NGS assay for detection of 29 HPV types and 14 non-HPV sexually transmitted infections.Infectious agents and cancer · 2022Article
- Reply.The Journal of infectious diseases · 2022Article
- Vaccination of Young Women Decreases Human Papillomavirus Transmission in Heterosexual Couples: Findings from the HITCH Cohort Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019Article
- Human Papillomavirus Viral Load and Transmission in Young, Recently Formed Heterosexual Couples.The Journal of infectious diseases · 2019Article
- Changes in DNA Level of Oncogenic Human Papillomaviruses Other Than Types 16 and 18 in Relation to Risk of Cervical Intraepithelial Neoplasia Grades 2 and 3.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019Article
- Observational
- Development and interlaboratory agreement of real-time PCR for HPV16 quantification in liquid-based cervical samples.Papillomavirus research (Amsterdam, Netherlands) · 2018Article
- High HPV16 E6 viral load in the oral cavity is associated with an increased number of bacteria: A preliminary study.Biomedical reports · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 5 countries.
Funding
Abstract
Viral load measurements may predict whether human papillomavirus (HPV) type 16 infections may become persistent and eventually lead to cervical lesions. Today, multiple PCR methods exist to estimate viral load. We tested three protocols to investigate viral load as a predictor of HPV clearance. We measured viral load in 418 HPV16-positive cervical smears from 224 women participating in the Ludwig-McGill Cohort Study by low-stringency PCR (LS-PCR) using consensus L1 primers targeting over 40 known HPV types, and quantitative real-time PCR (qRT-PCR) targeting the HPV16 E6 and L1 genes. HPV16 clearance was determined by MY09/11 and PGMY PCR testing on repeated smears collected over 5 years. Correlation between viral load measurements by qRT-PCR (E6 versus L1) was excellent (Spearman's rank correlation, ρ = 0.88), but decreased for L1 qRT-PCR versus LS-PCR (ρ = 0.61). Viral load by LS-PCR was higher for HPV16 and related types independently of other concurrent HPV infections. Median duration of infection was longer for smears with high copy number by all three PCR protocols (log rank P<0.05). Viral load is inversely related to HPV16 clearance independently of concurrent HPV infections and PCR protocol.
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.