Trial reportJournal of neuro-oncology2013
Management and survival rates in patients with glioma in China (2004-2010): a retrospective study from a single-institution.
Trial report in Journal of neuro-oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 1 of them a synthesis that pooled it.
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
98 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic values of combined ratios of white blood cells in glioma: a systematic review and meta-analysis.Neurosurgical review · 2024Pooled it
- α-Synuclein suppresses glioma progression through the CDH13-JNK/c-Jun pathway.Journal of neuro-oncology · 2026Article
- Development and validation of a robust cuproptosis related signature for primary glioma via machine learning aided by loop training and validation.Discover oncology · 2026Article
- Clinical and genetic determinants of glioblastoma survival: a retrospective study.Frontiers in molecular neuroscience · 2026Article
- Assessing time-trend bias in glioblastoma prognosis over 2 decades of clinical trials.Neuro-oncology · 2025Article
- Integrated clinicopathological-radiomic-blood model for glioma survival prediction via machine learning: a multicenter cohort study.Neurosurgical review · 2025Article
- Management and survival trends for diffuse gliomas diagnosed at a single neurooncology center in China during 2000 to 2020.Scientific reports · 2025Article
- Establishment of an alternative splicing prognostic risk model and identification of FN1 as a potential biomarker in glioblastoma multiforme.Scientific reports · 2025Article
- Prognostic Role of Pyruvate Kinase M2 in High-Grade Gliomas: A Quantitative Immunohistochemistry Study.Cureus · 2025Article
- A nomogram with Ki-67 in the prediction of postoperative recurrence and death for glioma.Scientific reports · 2024Article
- A multivariate retrospective analysis of high-grade gliomas: Survival and prognostic factors.Cancer medicine · 2024Article
- Real-world cost- effectiveness analysis: Tumor Treating Fields for newly diagnosed glioblastoma in China.Journal of neuro-oncology · 2024Article
- Survival analysis and associated factors of highgrade glioma patientsBiomedica : revista del Instituto Nacional de Salud · 2024Article
- Prognostic biomarker HIF1α and its correlation with immune infiltration in gliomas.Oncology letters · 2024Article
- Development of preoperative and postoperative models to predict recurrence in postoperative glioma patients: a longitudinal cohort study.BMC cancer · 2024Article
- Risk factors for surgical compliance and impact on the survival of patients with glioma: a population-based propensity score-matched study.Journal of cancer research and clinical oncology · 2023Article
- TXNDC12 knockdown promotes ferroptosis by modulating SLC7A11 expression in glioma.Clinical and translational science · 2023Article
- The Comprehensive Analysis of m6A-Associated Anoikis Genes in Low-Grade Gliomas.Brain sciences · 2023Article
- circMMD reduction following tumor treating fields inhibits glioblastoma progression through FUBP1/FIR/DVL1 and miR-15b-5p/FZD6 signaling.Journal of experimental & clinical cancer research : CR · 2023Article
- The Current State of Adult Glial Tumor Patients' Care in Kazakhstan: Challenges in Diagnosis and Patterns in Survival Outcomes.Biomedicines · 2023Article
38 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To analyze the clinical characteristics and prognostic factors in patients with glioma in an academic institute in China. From October 2004 to August 2010, total 1,285 patients were diagnosed as glioma at the Glioma Center of Beijing Tiantan Hospital. Clinical and molecular pathology features and survival rates were analyzed. The median overall survival (OS) times were 78.1, 37.6 and 14.4 months for low-grade glioma (WHO grade II), anaplastic glioma (WHO grade III) and glioblastoma (WHO grade IV), respectively. In patients with low-grade glioma, age, preoperative Karnofsky performance scale (KPS), pathological type, radiotherapy, O(6)-methylguanine-DNA methyltransferase (MGMT) expression and Ki-67 expression, were significantly associated with OS in multivariate analyses; and preoperative KPS and radiotherapy were significantly associated with progression-free survival (PFS). For anaplastic gliomas, age, preoperative KPS, pathological type, extent of resection, radiotherapy, p53 expression and phosphatase and tensin homolog (PTEN) expression were associated with OS. For glioblastomas, age, preoperative KPS, pathology type, extent of resection, radiotherapy and chemotherapy were associated with OS; and age, gender, preoperative KPS, extent of resection, radiotherapy and chemotherapy were associated with PFS. This is the largest survey for glioma management in China to date. We found significant differences in age, presenting symptoms and the expression of p53, MGMT, PTEN, and Ki-67 among patients with different types of glioma. Age, preoperative KPS, tumor grades, radiotherapy, chemotherapy and Ki-67 expression were significantly associated with clinical prognosis.
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