The Emergence of Extensively Drug‐Resistant Tuberculosis (TB): TB/HIV Coinfection, Multidrug‐Resistant TB and the Resulting Public Health Threat from Extensively Drug‐Resistant TB, Globally and in Canada
Bibliographic record
Abstract
Resistance to anti-tuberculosis (TB) drugs continues to present a major challenge to global public health. Resistance usually develops due to inadequate TB management, including improper use of medications, improper treatment regimens and failure to complete the treatment course. This may be due to an erratic supply or a lack of access to treatment, as well as to patient noncompliance. However, the emergence and transmission of drug-resistant TB, including the recently detected extensively drug resistant TB (XDR-TB), is driven, in part, by the synergistic relationship between TB and HIV (TB/HIV coinfection). There is evidence that persons infected with HIV are more likely to experience XDR-TB. XDR-TB is virtually untreatable with available TB medications. XDR-TB presents a grave global public health threat, particularly in high HIV prevalence settings. The present commentary discusses the current status of XDR-TB and draws attention to the urgency in addressing this problem, for both the global and Canadian public health networks. XDR-TB and the apparent XDR-TB and HIV association warrants further study.
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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".