ArticleJournal of Cancer2019
Influencing Factors of High-Risk Human Papillomavirus Infection and DNA Load According to the Severity of Cervical Lesions in Female Coal Mine Workers of China.
Article in Journal of Cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Night-shift work and susceptibility to infectious diseases: a systematic review and meta-analysis.Scandinavian journal of work, environment & health · 2025Pooled it
- Value of high‑risk human papillomavirus detection combined with colposcopy in the diagnosis of cervical cancer and precancerous lesions.Oncology letters · 2024Article
- Development and Validation of a Nomogram for Predicting Postoperative Distant Metastasis in Patients with Cervical Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2022Article
- The diagnostic value of miR-145 and miR-205 in patients with cervical cancer.American journal of translational research · 2021Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-risk human papillomavirus (HR-HPV) plays an aetiological role in the progression of cervical cancer and precancerous lesions. Determining the risk factors of HR-HPV infection is useful for HR-HPV infection surveillance and control. We aimed to explore the influencing factors of HR-HPV infection in female coal mine workers, and to evaluate the associations between HR-HPV DNA load and cytological and histological changes of cervix. In total 6,325 participants completed standard questionnaire on potential influencing factors of HR-HPV infection and underwent gynecological examinations, HPV test as well as Thinprep cytology test (TCT). 1,512 women with positive results of HPV and/or TCT were referred to colposcopy with biopsy and histological examination. HR-HPV DNA load was evaluated by Digene second generation hybrid capture (HC2) assay. Multiple unconditional logistic regression analysis was used to determine the influencing factors for HR-HPV infection. Of 6,325 study participants, 1,405 (22.2%) were HR-HPV positive. HR-HPV infection rate was higher in women aged 30-50 years, with lower education level, working inside the mines and engaging in shift work. Risk factors for HR-HPV infection in female coal mine workers included contraception (OR=1.395, 95%CI=1.102-1.458), previous artificial abortion (OR=1.603, 95%CI=1.202-1.856), working inside the mines (OR=1.230, 95%CI=1.056-1.528) and history of gynecological diseases (OR=1.198, 95%CI=1.001-1.462), while menopause was a protective factor (OR=0.402, 95%CI=0.306-0.507). The HR-HPV DNA load significantly increased with the severity of cervical cytological (
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.