Prevention of Tuberculosis in Patients Taking Tumor Necrosis Factor- Blockers
Bibliographic record
Abstract
Treatment with tumor necrosis factor-alpha (TNF-alpha) inhibitors increases the risk of tuberculosis (TB) due to reactivation of latent Mycobacterium tuberculosis infection (LTBI). Screening for LTBI is based mainly on the tuberculin skin test (TST), which has several limitations in any patient who is immunosuppressed due to drugs or autoimmune disease. T cell interferon-gamma release assays (IGRA) have been shown to be more specific than TST in immunocompetent patients and potentially represent a new approach for the management of patients taking TNF-alpha blockers. Even if there is no evidence-based literature of IGRA superiority versus TST in this specific clinical setting, some studies suggest blood assays may be helpful in clinical management of these patients, in addition to currently recommended clinical screening for risk factors for LTBI.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".