Review of the Canadian Nontuberculous Mycobacterial Disease Landscape—Challenges and Opportunities
Bibliographic record
Abstract
The incidence and prevalence of nontuberculous mycobacterial (NTM) disease are rising. This narrative review examines the evolution of NTM disease trends over the past four decades, in Canada and globally, encompassing changing epidemiology, shifting treatment paradigms, and emerging antimicrobial resistance patterns. Challenges to NTM treatment are explored, and novel and investigational therapies are summarized. Key themes include a significant increase in NTM disease incidence, temporal shifts in the dominant species causing human infections, evolution from single-drug to multi-drug treatment approaches, and growing concerns regarding macrolide resistance. The substantial challenges with treatment tolerability, effectiveness, and access are outlined. This review synthesizes data from multiple sources, including peer-reviewed literature, clinical trials, and public health databases, to provide a comprehensive understanding of the changing NTM disease landscape in Canada and more broadly. There is a need for expanded surveillance, continued innovation, and a multidisciplinary approach to NTM management.
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.
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 | 0.002 |
| 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".