ArticleJournal of oncology2021
Prognostic Variables of Younger-Aged Cervical Carcinoma Patients: A Retrospective Study.
Article in Journal of oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Development and validation of a deep learning survival model for cervical adenocarcinoma patients.BMC bioinformatics · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe prevalence of carcinoma of the cervix is increasing in younger women. This study aimed to evaluate the sociodemographic, pathological, and clinical features, prognosis, and treatment of women aged ≤35 years with carcinoma of the cervix (CC). METHODS AND MATERIALS: We retrospectively analysed the clinical information of 352 younger women with carcinoma of the cervix aged ≤35 years at the Gynaecological Oncology Department of Zhengzhou University People's Hospital from April 2000 to January 2018. The overall survival was evaluated with the Kaplan-Meier model, and the log-ranked analysis was compared with the univariate analysis to determine prognostic survival-related risk factors. Cox Proportional Hazards analysis was further used in analysing parameters correlated with survival after univariate analysis. A
resultsThe most frequent histopathological type observed in the selected 352 younger women was squamous cell carcinoma (SCC) (
conclusionIn conclusion, the status of lymph node metastases, tumour stage, and surgical margin and the type of histopathology substantially influence the rate of survival.
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