Refining the definition of miliary/disseminated tuberculosis in Canada
Bibliographic record
Abstract
OBJECTIVES: Although a "multisite" definition of disseminated tuberculosis (DTB) exists, there is limited evidence to support its use. Herein, we sought to generate that evidence. METHODS: We evaluated treatment outcomes and reporting requirements against two distinct definitions of DTB in a 15-year population-based cohort of consecutively diagnosed patients with tuberculosis (TB) in Canada. Definitions were combined in a multi-variable logistic regression to determine the risk factors for TB-related death in DTB. RESULTS: We applied two mutually exclusive definitions of DTB to our data set: 1. "strict" - TB disease associated with a positive TB culture in blood/bone marrow or TB disease associated with a miliary pattern on chest imaging and a positive TB culture or, 2. multisite - TB disease in two or more non-contiguous sites. Among 2877 notified patients with TB, 110 (3.8%) met the strict definition, whereas 168 (5.8%) met the multisite definition. Of all 278 patients with DTB, only 135 (48.6%) were notified as DTB using International Classification of Disease codes and only 66 (23.7%) were classified as DTB by Canada's Public Health Agency. Patients with DTB by either definition were less likely to achieve cure/treatment completion and more likely to die. The risk factors for a fatal outcome included extremes of age, Canadian birth, central nervous system involvement, and HIV co-infection. CONCLUSION: Our findings support the combination of a strict and multisite definition of DTB for purposes of reporting consistency and investigational comparability.
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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 | 0.006 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| 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".