SHORT ASSESSMENT OF EXECUTIVE FUNCTIONS IN GREEK HIV – PATIENTS USING THE FRONTAL ASSESSMENT BATTERY
Bibliographic record
Abstract
OBJECTIVE: The introduction of combination antiretroviral therapy (cART) has transformed HIV from a fatal disease to a chronic condition. However, although patients may be relieved of physical symptoms, studies have consistently shown the persistent existence of cognitive impairment, even in patients undergoing cognitive treatment, commonly referred as HIV – associated dementia. More specifically, findings show deficits in executive functions, resembling patterns more prominently found in frontal lesions. The advent of these findings showcase the need for appropriate neuropsychological screening tests in order to assess cognitive function in HIV patients. In this study, we assess the implications of introducing the FAB (Frontal Assessment Battery) to a simple, fast screening process. METHOD: We gathered data from 2 groups: a patient group consisting of HIV infected patients undergoing cART treatment at the AHEPA hospital in Greece, and from a control group. They patients underwent a short neurocognitive evaluation. We administered 3 short, fast screening tests: FAB, MOCA (Montreal Cognitive Assessment) and MMSE (Mini Mental State Exam). RESULTS: Consisting with preexisting finding, HIV patients consistently scored lower than the control group in the executive function tasks. All 3 test were found to be highly correlated with each other, with MOCA being a predictor factor for FAB scores. In measuring the 3 tests’ sensitivity to HIV associated cognitive impairments, we found that FAB was the most sensitive among the three. CONCLUSIONS: Our goal was to examine the utility of the FAB test when screening for cognitive deficits in HIV patients. We found that FAB can be a valuable tool in neuropsychological assessment, but given the varied nature of the HIV patients’ cognitive profile, it should be accompanied with an extensive battery of tests
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".