Benefits and Risks of Combining Anti-tumor Necrosis Factor with Immunomodulator Therapy in Pediatric Inflammatory Bowel Disease
Bibliographic record
Abstract
Since the introduction of anti-tumor necrosis factor (TNF) therapy as treatment of inflammatory bowel disease (IBD), care of pediatric and adult patients with IBD has significantly improved. To further improve treatment efficacy and durability, multiple trials have compared the efficacy of combination therapy, using anti-TNF therapy combined with an immunomodulator (a thiopurine or methotrexate), with that of anti-TNF monotherapy with contradicting results. The safety of combined therapy has been questioned after several reported cases of hepatosplenic T-cell lymphoma in young patients with IBD so treated. Physicians prescribing anti-TNF therapy to patients with IBD are required to weigh the benefits of combined therapy with its risks. To inform physicians treating children with IBD of these benefits and risks, we reviewed studies in pediatric and adult patients with IBD comparing efficacy, durability, and/or safety of combined therapy with anti-TNF monotherapy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".