The impact of highly active antiretroviral therapy on the incidence and outcomes of AIDS‐defining cancers in Southern Alberta
Bibliographic record
Abstract
OBJECTIVES: To determine the impact of highly active antiretroviral therapy (HAART) on the incidence and outcomes of Kaposi's sarcoma (KS), non-Hodgkin's lymphoma (NHL) and invasive cervical cancer/dysplasia in a well-defined geographical HIV-infected population between 1984 and 2005. METHODS: A clinic database search, chart review and verification with public health records were undertaken for all AIDS-defining cancers diagnosed in Southern Alberta before and after the introduction of HAART. RESULTS: A total of 2,137 patients with 9,265 person-years of HIV follow-up care were reviewed. One hundred and forty-three cases of KS, 64 cases of NHL and 11 cases of invasive cervical cancer/dysplasia were identified. KS and NHL together accounted for 15% of clinical presentations with an AIDS-defining illness that led to the HIV diagnosis. Following the introduction of HAART, the reduced number of severely immunocompromised patients was associated with 92 and 84% reductions in new diagnoses of KS and NHL, respectively, which were seen mainly in clinic patients declining or failing HAART. Crude reductions of 94 and 65% in mortality from KS and NHL, respectively, were also seen. The prevalences of KS, NHL and invasive cervical cancer/dysplasia have recently stabilized at 3, 1 and 5% of the population, respectively. CONCLUSIONS: The introduction of HAART has dramatically reduced the incidence of KS and NHL and improved survival from these cancers for most patients in HIV care. However, patients still present with KS and NHL leading to their HIV diagnosis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".