A274 THE EFFECT OF PRUCALOPRIDE ON SMALL BOWEL TRANSIT TIME FOR INPATIENTS UNDERGOING SMALL BOWEL CAPSULE ENDOSCOPY
Bibliographic record
Abstract
Inpatient small bowel capsule endoscopy (SBCE) has been associated with a decrease in the completion rate compared to outpatient SBCE. However delaying the performance of SBCE until hospital discharge may result in a decrease in the diagnostic yield. Therefore, interventions to shorten small bowel transit time are needed to increase the completion rates. Prucalopride is 5-HT4 receptor agonist that has been shown to decrease the whole gut transit time. To investigate the effect of prucalopride on small bowel transit time for hospitalized patients undergoing SBCE. This was a retrospective study that included all hospitalized patients who underwent SBCE between November 2011 and September 2016 at Vancouver General Hospital. In the period between March 2014 and December 2015, all patients received prucalopride at the time of capsule ingestion. Prucalopride was not given outside of this period. SBCE studies were excluded if the capsule was retained, other prokinetic agents were given, technical failure, endoscopic placement or if patients had prior small bowel resection. A total of 66 SBCE were performed. 12 SBCE were excluded. For the 54 included studies, the mean age for patients was 64 years. 64% of SBCE were done in male patients. The indications were obscure gastrointestinal bleeding in 51 and abnormal radiology in 3 patients. 29 patients received prucalopride. The overall completion rate was 85% and the mean small bowel transit time was 186 minutes. The prucalopride group had a significantly shorter small bowel transit time (132 vs. 277, p<0.001), and higher diagnostic yield (75% vs. 44%, p= 0.03) compared to the non prucalopride group. There was a trend for higher completion rate in the prucalopride group (93% vs. 76%, p= 0.16). Our results suggest that prucalopride is an effective intervention to shorten small bowel transit time, increase the diagnostic yield and potentially increases the completion rate. None
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".