ArticleScientific reports2024
A nomogram with Ki-67 in the prediction of postoperative recurrence and death for glioma.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A single-center retrospective study evaluating the efficacy of anlotinib plus temozolomide for recurrent glioma based on real-world data.Translational cancer research · 2026Article
- Development and validation of a preoperative glycolipid metabolism-based nomogram for predicting postoperative recurrence in primary glioma: a retrospective cohort study.Lipids in health and disease · 2026Article
- 7-T MRI intratumoral susceptibility signals reflect biomarker status in gliomas.European radiology experimental · 2026Article
- From Classical to Emerging Biomarkers of Brain and Central Nervous System Tumors. An Evidence-Based Review with a Focus on Gliomas.Cellular and molecular neurobiology · 2026Review
- Prognostic relevance of MIB-1 labeling index in VHL-associated and sporadic spinal hemangioblastomas: a subgroup analysis from a multicentric study.Acta neuropathologica communications · 2025Article
- Automated feature learning and survival prognostication in grade 4 glioma using supervised machine learning models.Journal of neuro-oncology · 2025Article
- Integrated clinicopathological-radiomic-blood model for glioma survival prediction via machine learning: a multicenter cohort study.Neurosurgical review · 2025Article
- Nomogram prediction of molecular characteristics in WHO grade 3-4 diffuse gliomas based on fractal analysis and VASARI features.Scientific reports · 2025Article
- The value of morphological magnetic resonance imaging features combined with diffusion kurtosis imaging for predicting Ki-67 expression levels in high-grade gliomas.Quantitative imaging in medicine and surgery · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
This study examined to evaluate the predictive value of a nomogram with Ki-67 in overall and disease-free survival in glioma patients, a total of 76 patients diagnosed with glioma by pathology in Tengzhou Central People's Hospital were enrolled. The baseline data and follow ups were retrospectively collected from medical records. The associations between Ki-67 and survival status were examined using log-rank test, univariate and multivariate Cox proportional hazard regression models. Calibrations were performed to validate the established nomograms. Ki-67 negative group showed of a longer OS survival time and a longer PFS survival time with log-rank test (x
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