Residential Eviction and Risk of Detectable Plasma HIV-1 RNA Viral Load Among HIV-Positive People Who Use Drugs
Bibliographic record
Abstract
We examined the relationship between residential eviction and exhibiting detectable plasma HIV-1 RNA viral load (VL) among a prospective cohort of antiretroviral therapy (ART)-exposed HIV-seropositive people who use illicit drugs (PWUD) in Vancouver, Canada. We used multivariable generalized estimating equations to estimate the effect of residential eviction on detectable VL and examine ART adherence as a mediating variable. Between June 2007 and May 2014, 705 ART-exposed participants were included in the study, among whom 500 (70.9%) experienced at least one period of detectable VL. In a time-updated multivariable model, eviction independently increased the odds of detectable VL among those who were homeless (adjusted odds ratio [AOR] = 2.25; 95% confidence interval [CI]: 1.18 – 4.29) as well as not homeless (AOR = 1.76; 95% CI: 1.17 – 2.63) post eviction. The results of mediation analyses suggest that this association was mediated by incomplete ART adherence. These findings suggest the need for further development and evaluation of interventions to prevent evictions and promote ART adherence among PWUD facing eviction.
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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 | 0.004 |
| 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 | 0.001 |
| 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".