The impact of scaling‐up combination antiretroviral therapy on patterns of mortality among HIV‐positive persons in British Columbia, Canada
Bibliographic record
Abstract
INTRODUCTION: Despite the tremendous improvements in survival, some groups of people living with HIV (PLHIV) continue to have lower survival rates than the overall HIV-positive population. Here, we characterize the evolving pattern of mortality among PLHIV in British Columbia since the beginning of the expansion of antiretroviral treatment in 2003. METHODS: This retrospective cohort study included 3653 individuals ≥20 years old, who enrolled on treatment between January 1, 2003, and December 31, 2012, and were followed until December 31, 2013. All-cause mortality rates and standardized mortality ratios (SMRs) were calculated to compare mortality outcomes of PLHIV to the general population. Abridged life tables were constructed to estimate the life expectancy at age 20 years for PLHIV. RESULTS: The overall crude mortality rate was 28.57 per 1000 person-years, the SMR was 3.22 and the life expectancy was 34.53 years. Interestingly, if we considered only individuals alive after the first year, the life expectancy increased to 48.70 years (41% increase). The SMRs for males and females decreased over time. Although females had higher SMRs in 2003 to 2008, this difference no longer existed in 2009 to 2011. There were also important differences in mortality outcomes for different clinical and demographical characteristics. CONCLUSIONS: Mortality outcomes of PLHIV who initiated antiretroviral treatment have dramatically improved over the last decade. However, there is still room for improvement and multilateral efforts should continue to promote early, sustained engagement of PLHIV on treatment so that the impact of treatment can be fully realized.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 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".