Incidence of Pulmonary Disease Caused by Mycobacteria other than Tuberculosis in British Columbia
Bibliographic record
Abstract
CONTEXT: The incidence of pulmonary disease due to mycobacteria other than tuberculosis (TB) in Canada has not been documented. OBJECTIVE: To determine the incidence of pulmonary disease due to mycobacteria in the nonimmunocompromised population of British Columbia. DESIGN: A retrospective cohort study of 110 cases of mycobacteria infection other than TB identified from 1991 to 1995. SETTING: British Columbia Centre for Disease Control, Division of TB Control. RESULTS: The overall incidence rate of infection with mycobacteria other than TB was 0.63 10-5/year. This incidence rate was significantly higher among women (relative risk [RR]=2, P=0.0006) and in those aged 55 years or older (RR=8, P<0.00001). In contrast with TB, patients were more frequently born in Canada (P<0.00001) or in industrialized countries other than Canada (P<0.00001), and were less likely to be Aboriginal (P=0.0007) or foreign born from Asia (P<0.0001). The most common organism isolated in British Columbia was Mycobacterium avium-intracellulare (82.7%). Overall, 78 (71%) cases had underlying lung disease. Drug intolerance was very common (42%). After treatment, 55% and 41% of the patients were rendered smear negative or culture negative, respectively. Radiological improvement was noted in 55% of patients, and 60% of patients responded symptomatically to treatment. CONCLUSIONS: The overall incidence of pulmonary disease is low. It is a disease predominantly of women 55 years and older, and targets completely different ethnic groups than TB, suggesting a protective effect of infection with Mycobacterium tuberculosis. M avium-intracellulare was the most common pathogen isolated. Further investigation is required into the natural history of so-called 'colonizers'. Considerable morbidity may be prevented with earlier intervention.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".