People aged above 65 treated for latent tuberculosis are at increased risk of admission for a hepatic event compared with untreated controls
Bibliographic record
Abstract
Commentary on: Smith BM, Schwartzman K, Bartlett G, et al. Adverse events associated with treatment of latent tuberculosis in the general population. CMAJ 2011;183:E173–9.[OpenUrl][1][Abstract/FREE Full Text][2] Treatment of latent tuberculosis infection (LTBI) is an important tuberculosis prevention and control strategy, especially in high-resource countries. The effectiveness of LTBI treatment, which usually consists of isoniazid (also known as isonicotinylhydrazine (INH)) for 6–9 months, is limited by poor patient adherence because of long treatment duration and adverse effects. The most common serious adverse effect of INH is hepatotoxicity, which increases with age and can be fatal.1 A meta-analysis of six studies found that the pooled rate of INH-associated hepatotoxicity was 0.6%.2 Smith and colleagues conducted a population-based evaluation of serious adverse events of LTBI treatment in Quebec, Canada. Data were abstracted from administrative databases of the government … [1]: {openurl}?query=rft.jtitle%253DCMAJ%26rft_id%253Dinfo%253Adoi%252F10.1503%252Fcmaj.091824%26rft_id%253Dinfo%253Apmid%252F21220436%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/ijlink?linkType=ABST&journalCode=cmaj&resid=183/3/E173&atom=%2Febmed%2F16%2F6%2F169.atom
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Editorial About the Canadian research system: no · About a Canadian topic: no | Observational | high |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Observational | medium |
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 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".