COGNITIVE IMPAIRMENT DETECTION IN ADULT THALASSEMIA PATIENT USING MOCA-INA
Bibliographic record
Abstract
Background: Cognitive impairment in thalassemia patients are prevalent, therefore early detection of cognitive impairment in adult thalassemia patients is crucial for prevention. Montreal Cognitive Assessment (MoCA) is a public domain cognition screening tools that covers all cognitive domains in detecting mild cognitive impairments. Objective: To compare cognitive function between adult thalassemia patients and healty control by using Indonesia version of MoCA test (MoCA-Ina) Methods: This prospective observational analytic with case control study, compared the total scores and scores of each domain of cognition between adult thalassemia patients and healthy subjects at the Medical Hematology Oncology Clinic of Dr. Hasan Sadikin General Hospital, Bandung, Indonesia using MoCA-Ina from August to October 2018. Results: A total of 32 thalassemia subjects and 50 healthy subjects were conducted. A total of 16(50%) subjects in the case group had a value of MoCA-Ina <26, while only 1(2%) healthy control had a value of MoCA-Ina <26. The median total MoCA-Ina score in case and control groups were 25.5 and 27.50 (p <0.001). The median score of memory domains, executive functions and visuospatial of the case and control groups were 3 versus 4 (p <0.001), 3 versus 3.5 (p <0.001) and 3.53 ± 0.671 versus 3.88 ± 0.385 (p <0.003), respectively. Conclusion: Adults thalassemia patients have lower score in total MoCA-Ina, domains of memory, executive function and visuospatial score compared to healthy control.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".