Profile of Cognitive Impairement in Patients with Brain Tumors in Dr. Moewardi Hospital, Surakarta
Bibliographic record
Abstract
Background: Brain tumor is a disease that is difficult to treat and causes high morbidity and morta¬lity. One of the clinical manifestations of brain tumors is cognitive impairment which is the most common neurological problem. The aim of this study is to determine the profile of cognitive impairment in patients with brain tumors. Subjects and Method: The design of this study was a retrospective cross-sectional using secondary data from the Neurology Polyclinic of RSUD Dr. Moewardi in January 2021-March 2022. The subject was diagnosed with a brain tumor based on anamnesis, physical examination, and neuroimaging. Cognitive impairment was inferred through the MoCA-Ina test. The analysis used was univariate descriptive analysis, independent T test, Mann-Whitney test, and Pearson correlation test. Results: There were 29 subjects with a mean MoCA-Ina score (17.97). Primary brain tumors (79.3%), more than metastatic tumors. The majority of patients were diagnosed with meningioma (55.2%). This study showed that there were differences in abstraction scores (p=0.015) and total MoCA-Ina scores (p=0.042) between patients with tumors located in the temporal lobe and non- temporal lobe; differences in abstraction scores (p=0.034) and orientation scores (p=0.042) between patients with supratentorial and infratentorial tumors; and differences in memory scores (p=0.028) between patients with and without radiation history. In addition, this study also found an association between the number of lobes affected by brain tumors with attention score (p=0.027; r=-0.409), abstraction score (p=0.004; r=-0.524), orientation score (p=0.021; r=-0.426), and the total score of MoCA-Ina (p=0.018, r=-0.435). Conclusion: There is an association between brain tumors and cognitive impairment which is concluded through the MoCA-Ina test. The clinical manifestations of cognitive impairment in the patient are in accordance with the neuroanatomical function of the brain affected by the lesion. Keywords: Cognitive, Tumor, MoCA-Ina Correspondence: Maria Yosita Ayu Hapsari. Department of Neurology, Faculty of Medicine, Universitas Sebelas Maret/ Moewardi Hospital, Indonesia. Email: ayositahapsari@gmail.com. Phone: 0813 3155 5412. Indonesian Journal of Medicine (2022), 07(02): 242-250 https://doi.org/10.26911/theijmed.2022.07.02.12
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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 | 0.001 | 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".