Longitudinal assessment (1995–2003) of hospitalizations of HIV‐infected patients within a geographical population in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: To determine the frequency of and reasons for hospitalization of adult HIV-infected patients compared with the general population. METHODS: Length of stay, primary/secondary diagnoses and discharge status were reviewed for all HIV-infected patients admitted to Calgary-area hospitals between 1995 and 2003. Admissions were classified as HIV- or non-HIV-related using International Classification of Diseases, 9th and 10th revisions (ICD-9/10) codes and confirmed by chart review. Summary comparative data on admissions for the general population were obtained from the regional administrative database. RESULTS: HIV-infected adults were hospitalized more than twice as frequently, experienced longer stays (median length 5 vs 3 days, respectively) and had higher in-hospital mortality rates (9.1 vs 1.3 per 100 admissions, respectively) than the general population (P < 0.01). Hospitalizations of HIV-infected patients declined by 58% from 1995 to 2003. Patients newly diagnosed with HIV infection accounted for 15% of all HIV-related hospitalizations. HIV-related admissions for known HIV-infected patients decreased from 12 per 100 patient-years-followed in 1995 to 3 per 100 patient-years-followed in 2003. Low CD4 counts, AIDS, and no current use of highly active antiretroviral therapy (HAART) were strongly correlated with hospitalizations (P < 0.01). Non-HIV-related hospitalizations for HIV-infected patients increased by 42% and were associated with comorbidities (e.g. substance use and psychological disorders). CONCLUSION: Despite the reduction in HIV-related hospitalizations following the introduction of HAART, all-cause hospitalization rates have increased and have started to erode this benefit.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 it