The effect of supratotal resection of glioblastoma in frontal or temporal lobe
Bibliographic record
Abstract
Objective To evaluate the feasibility and safety of supratotal resection of frontal or temporal lobe glioblastoma by the postoperative cognitive function and overall survival. Methods The clinical data of patients with frontal or temporal lobe glioblastoma and treated from January 2010 to January 2015 were analyzed retrospectively. The patients underwent supratotal resection of glioblastoma after March 2012(trial group, 33 cases). Before March 2012, the patients underwent total resection of glioblastoma (control group, 28 cases). The Montreal cognitive assessment(MoCA) scores before operation and the 7th day after operation were used to evaluate the security, while overall survival was used to evaluate the feasibility. Variance analysis of repeated measurement quantitative data was used for the statistical analysis of the results. Multivariate Cox model was used as a method to estimate the independent association of a variable set with overall survival. Survival time observation was plotted by the Kaplan-Meier analysis, starting from the data of surgery. Results The MoCA scores in control group at the 7th day after operation were significantly lower than those before operation: (25.39 ± 3.04) scores vs. (26.67 ± 2.19) scores, t = 4.446, P < 0.05. The MoCA scores in trial group at the 7th day after operation were significantly lower than those before operation: (21.93 ± 4.46) scores vs. (25.39 ± 3.04) scores, t = 3.485, P < 0.05. The survival analysis of Kaplan-Meier method showed that age, surgical method and preoperative KPS scores were statistically significant (P < 0.05). Cox regression analysis showed that the choice of surgical method and preoperative KPS was 0.286 and 0.965, respectively. The risk of death in control group was 0.286 times of that in trial group. The survival time of trial group was better than that of control group. Conclusions The cognitive function of patients with frontal or temporal glioblastoma may have a certain degree of decline after tumor resection or supratotal resection. Supratotal resection could represent a promising strategy that can impact on outcome in glioblastoma patients. Supratotal resection could be a factor influencing survival. Key words: Glioblastoma; Supratotal resection; Cognitive function; Overall survival
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".