Adalimumab and postoperative complications of elective intestinal resections in Crohn's disease: a propensity score case‐matched study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: data are scarce regarding the effect of preoperative Adalimumab (ADA) in postoperative complications in Crohn's disease (CD) patients. AIM: to compare the rates of postoperative complications after intestinal resections in CD, with and without previous exposure to ADA. METHOD: case-matched retrospective observational study of patients submitted to intestinal resections for CD. The patients were allocated to 2 groups, according to their previous exposure to ADA before surgery. The patients under ADA therapy were matched with controls (patients without previous biologics) with the propensity score method (PSM), according to age at surgery, CD location (Montreal L) and phenotype (Montreal B). Medical and surgical complications were compared. RESULTS: 123 patients were initially considered, 71 with previous biologics (32 under ADA therapy) and 52 without. The PSM selected 25 ADA patients to be matched with 25 controls from the non-biologics group. There was no difference regarding overall surgical complications (40% in the control vs 36% in the ADA group; p = 1.0000) or medical complications (36% vs 12% in the control and ADA groups, respectively; p = 0.095). In univariate analysis, previous ADA was not considered a risk factor for higher postoperative complication rates. Stomas were considered a risk factor for surgical complications, and previous steroids were associated to higher medical complication rates. CONCLUSIONS: preoperative ADA did not influence the rates of medical and surgical complications after elective intestinal resections for CD. This was the first study to include exclusively patients under ADA therapy. This article is protected by copyright. All rights reserved.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it