ArticleBiomedica : revista del Instituto Nacional de Salud2024
Survival analysis and associated factors of highgrade glioma patients
Article in Biomedica : revista del Instituto Nacional de Salud, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- High-grade gliomas where resources define survival: a systematic review and meta-analysis of outcomes, surgical access, and molecular diagnostic gaps in low- and middle-income countries.Frontiers in oncology · 2026Pooled it
- The tumorigenic effect of the high expression of ABRACL in glioma and its potential as a therapeutic target.Heliyon · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: High-grade gliomas are the most common primary brain tumors in adults, and they usually have a quick fatal course. Average survival is 18 months, mainly, because of tumor resistance to Stupp protocol. Objective: To determine high-grade glioma patient survival and the effect of persuasion variables on survival. Materials and methods: We conducted a longitudinal descriptive study in which 80 untreated recently diagnosed high-grade glioma patients participated. A survey was conducted regarding their exposure to some risk factors, degree of genetic instability in peripheral blood using micronucleus quantification on binuclear lymphocytes, micronuclei in reticulocytes and sister-chromatid exchanges in lymphocytes. In the statistical analysis, this study constructed life tables, used the Kaplan-Meier, and the log-rank test, and in the multivariate analysis, a Cox proportional hazards model was constructed. Results: Eighty patients' clinical, demographic and lifestyle characteristics were analyzed, as well as their survival rates and the average survival time is 784 days (interquartile range: 928). Factors like age, exposure at work to polycyclic hydrocarbons and the number of sister-chromatid exchanges in lymphocytes in the first sampling was significantly survivalrelated in the multivariate analysis. Conclusion: We determined that only three of the analyzed variables have an important effect on survival time when it comes to high-grade glioma patients.
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Registered trials
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