Challenges to Tuberculin Screening and Follow-up in an Urban Aboriginal Sample in Montreal, Canada
Bibliographic record
Abstract
We sought to describe the prevalence and predictors of tuberculin skin test (TST) reactors in a high-risk sample of urban Aboriginal people, and to evaluate adherence to medical evaluation and latent tuberculosis infection (LTBI) treatment among those with TST reactivity. Of the 164 participants tested, 86% returned for TST reading. Positive TST reactions (>or=10 mm) were observed in 17.7% (25/141, 95% CI 11.4-24.0) of participants, and were associated with older age (OR per 10 year increase 1.8, 95% CI 1.2-2.7) and Inuit Aboriginal group (OR 2.8, 95% CI 1.1-7.3). Only four participants presented for evaluation, of whom one initiated and none completed LTBI treatment. Tuberculin screening in this population can be an effective strategy for identifying TST reactive individuals; however, screening efforts will have minimal impact without additional efforts in this high-risk group.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 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) | 0.001 | 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".