Background Describe and evaluate the methodological conduct of prognostic prediction
models developed using machine learning methods in oncology. Methods We conducted a …

Background The goal of this study is to assess the newest survival of hepatoblastoma (HB)
and the risk factors which impacted on survival by using the Surveillance, Epidemiology and …

Background Skip metastases are defined as lateral lymph node metastasis (LNM) without
the involvement of central LNM in papillary thyroid cancer (PTC), and it is difficult to predict …

Prostate cancer (PCa) is the most prevalent cancer among males and the survival period of
PCa has been significantly extended. However, the probability of suffering from second …

Background Skip metastasis in papillary thyroid cancer (PTC), defined as lateral lymph node
metastasis (LLNM) without the involvement of central lymph node metastasis (CLNM), is …

This research systematically profiled the global N6‐methyladenosine modification pattern of
circular RNAs (circRNAs) in glioblastoma (GBM). Based on RNA methylation sequencing …

Purpose This study describes oncological outcomes and investigates prognostic factors for
patients with gliosarcomas (GSM). Methods Histopathologically confirmed GSM patients …

Previous studies have revealed an increased risk of secondary primary cancers (SPC) after
lung cancer. The prognostic prediction models for SPC patients after lung cancer are …

Purpose The aim of this study was the development and external validation of a logistic
regression model to differentiate gliosarcoma (GSC) and glioblastoma multiforme (GBM) on …

Background Conditional survival (CS) considers the duration since the initial diagnosis and
can provide supplementary informative insights. Our objective was to evaluate CS among …