Anti-TNF Monoclonal Antibodies in Inflammatory Bowel Disease: Pharmacokinetics-Based Dosing Paradigms
Bibliographic record
Abstract
Crohn's disease and ulcerative colitis are chronic inflammatory disorders resulting from immune dysregulation. Patients who fail conventional medical therapy require biological treatment with monoclonal antibodies (mAbs). Although mAbs are highly effective for induction and maintenance of clinical remission, not all patients respond, and a high proportion of patients lose response over time. One factor associated with loss of response is immunogenicity, whereby the production of antidrug antibodies accelerates mAb clearance. However, other factors related to patient and disease characteristics also influence the pharmacokinetics of mAbs. These factors include gender, body size, concomitant use of immunosuppressive agents, disease type, serum albumin concentration, and the degree of systemic inflammation. Because it is important to maintain clinically effective concentrations to provide optimal clinical response and drug exposure is affected by patient factors, a better understanding of the pharmacology of mAbs will ultimately result in better patient care.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".