ArticleJournal of personalized medicine2021
HPV Status and Individual Characteristics of Human Papillomavirus Infection as Predictors for Clinical Outcome of Locally Advanced Cervical Cancer.
Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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
7 citing papers in PubMed.
- The prognostic value of different HPV infection statuses in cervical cancer.Scientific reports · 2026Observational
- Molecular characterization of HPV integrations in high-risk HPV-positive women and development of a prognostic signature based on integration-associated genes for cervical cancer.Infectious agents and cancer · 2026Article
- Article
- Identification of proteins' expression pathway and the effective miRNAs for the treatment of human papillomavirus-induced cervical cancer: in-silico analyses-experimental research.Annals of medicine and surgery (2012) · 2024Article
- The interplay between programmed death ligand 1 (PD-L1) expression and human papillomavirus (HPV) genotypes in cervical carcinomas: findings of a Nigerian Tertiary Hospital.The Pan African medical journal · 2024Article
- Impact of HR-HPV infection on oncological outcomes in early cervical cancer.Frontiers in oncology · 2023Article
- Outcomes and prognostic factors in patients with locally advanced cervical cancer treated with concurrent chemoradiotherapy.Radiation oncology (London, England) · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
This study is aimed at searching for an informative predictor of the clinical outcome of cervical cancer (CC) patients. The study included 135 patients with locally advanced cervical cancer (FIGO stage II-III) associated with human papillomavirus (HPV) 16/18 types or negative status of HPV infection. Using logistic regression, we analyzed the influence of the treatment method, clinical and morphological characteristics, and the molecular genetic parameters of HPV on the disease free survival (DFS) of patients treated with radiotherapy or chemoradiotherapy. Multivariate analysis revealed three factors that have prognostic significance for DFS, i.e., HPV-related biomarker (HPV-negativity or HPV DNA integration into the cell genome) (OR = 9.67,
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Registered trials
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