The Spectrum of Tuberculosis Infection: New Perspectives in the Era of Biologics
Bibliographic record
Abstract
The risk of developing active tuberculosis (TB) is higher in patients taking immunosuppressive drugs, either as a result of reactivation of a latent TB infection (LTBI) or following a new infection with Mycobacterium tuberculosis (Mtb). We discuss the pathogenesis and spectrum of Mtb infection in light of its implication for the management of patients following biologic regimens. Among recent findings, during LTBI, Mtb can persist in the host for decades, localizing in many tissues and assuming different metabolic states that protect the bacilli from the harsh host immune defenses. Despite the strong host T cell response against Mtb, the bacilli may also replicate and multiply in vivo, and any event impairing immune function may lead to active and uncontrolled bacteria replication and active disease. The classic dichotomy between active and latent disease is being reconsidered in favor of a continuous and dynamic spectrum extending from infection to disease that can coexist in the same individual. This TB spectrum results from the dynamic interaction between the host immune system and the bacilli and can be maintained in equilibrium for decades, although treatments affecting the host immune cells may result in disease reactivation.
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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 | 0.002 | 0.000 |
| 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 | 0.001 | 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".