Systematic Review
Bibliographic record
Abstract
BACKGROUND: The options for medical management of acute severe steroid-refractory ulcerative colitis (UC) are limited. Recent guidelines recommend against use of sequential rescue therapy in the setting of failed medical management with initial salvage therapy. A systematic review was conducted to assess outcomes of sequential rescue therapy with infliximab (IFX) and calcineurin inhibitors like cyclosporine (CsA) or tacrolimus (Tac) in patients with steroid-refractory UC. METHODS: A literature search identified studies that investigated treatment with IFX and CsA or Tac in acute severe UC. Outcomes of interest included short-term symptomatic response to treatment, rates of remission, adverse drug reactions, serious infections, mortality, and colectomy at 3 and 12 months. RESULTS: Overall, ten studies with 314 participants were eligible for inclusion. After sequential treatment, patients achieved short-term treatment response in 62.4% (95% confidence interval [CI], 57.0%-67.8%) of cases and remission in 38.9% (95% CI, 33.5%-44.3%). Colectomy rates were 28.3% (95% CI, 21.7%-34.5%) at 3 months and 42.3% (95% CI, 36.0%-48.6%) at 12 months. Adverse events were encountered by 23.0% (95% CI, 17.7%-28.3%) of patients, including serious infections in 6.7% (95% CI, 3.6%-9.8%) and mortality in 1% (95% CI, 0%-2.1%). CONCLUSIONS: The risk of sequential therapy in steroid-refractory UC seems lower than initially reported. Caution must be exercised however because of very low-quality evidence. In contrast to recent guidelines, the current analysis does not support a decision for or against use of sequential rescue therapy, which should only be performed at specialized referral centers familiar with the use of calcineurin inhibition.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 | 0.072 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.006 |
| Bibliometrics | 0.018 | 0.020 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.076 | 0.012 |
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".