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The effect of supratotal resection of glioblastoma in frontal or temporal lobe

2018· article· no· W3029182940 on OpenAlexaboutno aff
Yuliang Fan, Chunlei Zhu, Jiqiang Wang, Qingzhe Yang, Yi Zhao, Bin Wu

Bibliographic record

VenueChin J Postgrad Med · 2018
Typearticle
Languageno
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGlioblastomaProportional hazards modelAnalysis of varianceTemporal lobeSurvival analysisSurgeryMultivariate analysisMontreal Cognitive AssessmentResectionFrontal lobeCognitionInternal medicineCognitive impairmentEpilepsy

Abstract

fetched live from OpenAlex

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

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.283
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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