Four months of rifampicin monotherapy for latent tuberculosis infection in children
Bibliographic record
Abstract
Diagnosing and treating latent tuberculosis infection (LTBI) is an important part of efforts to combat tuberculosis (TB). The Korean guidelines for TB published in 2020 recommend 2 LTBI regimens for children and adolescents: 9 months of daily isoniazid (9H) and 3 months of daily isoniazid plus rifampicin. Isoniazid for 6-12 months has been used to effectively treat LTBI in children for over 50 years. However, a long treatment period results in poor patient compliance. This review summarizes pediatric data on the treatment completion rate, safety, and efficacy of 4 months of daily rifampicin (4R) and evaluates the pharmacokinetics and pharmacodynamics of rifampicin in children. The 4R regimen has a higher treatment completion rate than the 9H regimen and equivalent safety in children. The efficacy of preventing TB is also consistent with that of 9H when summarizing reports published to date. A shorter treatment period could increase patient compliance and, therefore, prevent TB in more patients. By using an effective, safe, and highly compliant regimen for the treatment of children with LTBI, we would become one step closer to our goal of eradicating TB.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".