Effect of Antiretroviral Therapy (ART) on HIV-1 & 2 (Subtype C) infection and its relationships to cognitive function and quality of life
Bibliographic record
Abstract
To study the effect of Antiretroviral Therapy on neuropsychological functioning and quality of life of Seropositive HIV-1 Clade C infected subjects from South India. A sample of 128 HIV-1 positive adults was recruited during 2003-2007. Of the 128 subjects, 8 were HIV-2 positive, 6 deaths and 2 dropouts during the 4 follow-up and were excluded from analyses. The present study conducted after the 4th follow-up and the final sample consisted of 112 seropositive HIV-1 Clade C infected subjects, 83 of them are not on ART (mean age 30 ± 4.35) and 29 of them are on ART (29.7 ± 5.75 years). Neuropsychological tests were administered in the domains of attention, fluency, motor speed, verbal and visual working memory, response inhibition, planning and verbal and visual learning & memory. WHOQOL-HIV BREF was also used to analyze the following domains of quality of life viz., physical health, psychological, level of independence, social relations, environment and spiritual beliefs. Mean and SD were calculated. Analysis of Variance (ANOVA) and Correlation were used to analyse the data. All statistical analysis were done using SPSS version 15. Analysis between ART and Non-ART groups differ on design fluency score (p < 0.05) and figural scanning (p < 0.05). Similarly, QOL domain significantly differs only on social relations (p < 0.01). Analysis between neuropsychological measures and quality of life (QOL) scores revealed significant correlation between QOL Total and motor speed (p < 0.01) and verbal fluency (p < 0.01). Social relations significantly correlate on verbal working memory (p < 0.05), auditory verbal learning (p < 0.05), verbal memory (p < 0.05), verbal fluency (p < 0.05) and color trails (p < 0.05). Spiritual beliefs significantly correlate only of color trails (p < 0.05).
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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 | 0.000 | 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 | 0.000 |
| 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".