Correlates of Healthy Aging in Geriatric HIV (CHANGE HIV)—CTN 314
Bibliographic record
Abstract
The Correlates of Healthy Aging in Geriatric HIV (CHANGE HIV) study, CTN 314, is the first Canadian cohort of people living with HIV aged 65 years and older. The cohort was established with the purpose of characterizing the multidimensional health status of this population and identifying factors influencing healthy aging. The study builds on the World Health Organization (WHO) Aging and Health conceptual framework, generating a comprehensive profile of health domains (physical, social, mental health, cognitive function, and quality of life), health determinants (biologic, personal, and environmental), and HIV-specific factors that may interact with and influence health in people aging with HIV. The data for the first 353 participants are presented, focusing on sociodemographic factors, comorbidities, coinfections, frailty, cognitive function, loneliness, and resilience using a sex/gender stratified analysis. The cohort thus far is 91% men and the median age is 70 years (range from 65 to 85). Several vulnerabilities were observed, including a high prevalence of comorbidities and frailty. Women especially faced financial insecurity and precarious social structures; a large proportion live alone and only 6% are married or in steady relationships. Identifying strategies to address these vulnerabilities will empower people aging with HIV to optimize their health, quality of life, and independence.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".