Cognitive function and its influencing factors in patients with firstepisode brain tumor
Bibliographic record
Abstract
Abstract Objective:To investigate the cognitive function of patients with firstepisode brain tumors and to explore the related factors affecting their cognition,to provide some theoretical basis for the study of cognitive function of brain tumors patients in the future.Methods:From May to December 2017,136 patients with firstepisode brain tumors were selected in neurosurgery department in a third grade A Hospital in Shanghai,were investigated with the General Information Questionnaire,Montreal Cognitive Assessment(MoCA),Karnofsky Performance Status(KPS),Modified Barthel Index(MBI),and Hospital Anxiety and Depression Scale(HADS).SPSS 20.0 software was used for ttest,ANOVA and rank sum test.Spearman and Pearson correlation analysis was carried out.The influencing factors of cognitive impairment were analyzed by binary Logistic regression analysis.Results:The total score of MoCA in patients with firstepisode brain tumor was(23.94±3.77).There were 79 cases(58.1%)with cognitive impairment.The areas of cognitive impairment as followed were delayed memory,visual space execution ability,abstract ability,attention,language function,naming ability and orientation.Age,WHO tumor pathological grade,work status,anxiety score,and depression score were negatively correlated with the total MoCA score of brain tumor patients(P<0.05).Education level,tumor location,KPS score,and MBI score were positively correlated with the total MoCA score(P<0.05).Age,anxiety score,and WHO tumor pathological grade were the risk factors,and the education level was the protective factor.Conclusions:There were cognitive impairments in patients with firstepisode brain tumors,including delayed memory,visual space executive ability,attention,etc.It was suggested that medical staff should pay attention to the early evaluation of cognitive function of patients with brain tumors,especially the patients with advanced age,lower education,highgrade tumors and anxiety patients.
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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 | 0.001 | 0.001 |
| 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".