The new place of enterohormones in intestinal failure
Bibliographic record
Abstract
PURPOSE OF REVIEW: Since the approval of teduglutide, a glucagon-like peptide-2 (GLP-2) analog, for the treatment of patients with short bowel syndrome (SBS) associated with intestinal failure, enterohormone therapy has received significant interest and is becoming the first choice of treatment in selected patients. As such, it is paramount to assess and understand the new place of hormonal therapy in the algorithm of treatments in SBS-intestinal failure. RECENT FINDINGS: Specialized intestinal failure units have recently reported their outcomes with teduglutide to evaluate if they are consistent with the phase III trials results. SBS-intestinal failure patients are very heterogenous including their response to this treatment, hence the importance of real-life studies beyond the context of clinical trials. Moreover, it is essential to find a consensus on criteria identifying candidate patients for teduglutide. In addition, the impact of teduglutide on quality of life and its cost-effectiveness are emerging as well as new enterohormone treatments are being studied whether it is long action GLP-2 analog or other ileocolonic break hormones like glucagon-like peptide-1 analog. SUMMARY: Hormonotherapy is currently modifying the natural history of patients with SBS-intestinal failure by decreasing their need for parenteral support and possibly even complications associated with long-term parenteral support. Enterohormone treatment is now the cornerstone in SBS-intestinal failure and should be offered as a first-line therapy to selected patients.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".