Overview of prognostic factors in adult glioma; a 10-year experience at a single institution
Bibliographic record
Abstract
Abstract Objective The most prevalent central nervous system (CNS) neoplasm arising from glial cells is glioma, which diffusely invades brain tissue. Among gliomas, Glioblastoma (GBM) is a glioma of the highest grade and associated with a grim prognosis, with a median overall survival of 15 months with and 3-4 months without therapy. We examined how clinical variables and molecular profiles may have affected overall survival (OS) at Sina Hospital in Tehran over the past ten years. Methods A retrospective study was conducted at Sina Hospital in Tehran, Iran, and examined patients ≥ 11 years with confirmed glioma diagnoses between 2012 and 2020. We evaluated the correlation between OS in GBM patients and sociodemographic as well as clinical factors, including age, gender, extent of tumor resection, tumor location, chemo/radiotherapy, and molecular profiling based on IDH1, MGMT, TERT, and EGFR status. Kaplan-Meier and multivariate Cox regression models were used to assess patient survival. Results Following a comprehensive evaluation of medical records, 186 patients were enrolled in the study. The median OS was 20 months, with a 2-year survival rate of 62.5%. Among the 132 patients with available IDH measurements, 105 (79.5%) exhibited IDH1 wild-type tumors. Of the 132 patients with assessed MGMT methylation, 94 (71.2%) had MGMT methylated tumors. TERT promoter methylation was detected in 112 out of 132 cases (84.8%), while no methylation was observed in 20 cases (15.2%). Analyses using multivariable models revealed that age at histological grade ( P < 0.0001), adjuvant radiotherapy ( P < 0.014), IDH1 status ( P < 0.026), and TERT promoter status ( P < 0.030) were independently associated with OS. Conclusion The findings of this study demonstrate that patients with higher tumor histological grades who had received adjuvant radiotherapy, exhibited IDH1 mutations, or presented with TERT promoter mutations, experienced improved OS. The median survival time was 20 months, with 15.6% and 46.9% of patients surviving at 12 and 24 months, respectively.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".