The Effect of Prucalopride on Small Bowel Transit Time in Hospitalized Patients Undergoing Capsule Endoscopy
Bibliographic record
Abstract
Background. The inpatient status is a well-known risk factor for incomplete video capsule endoscopy (VCE) examinations due to prolonged transit time. We aimed to evaluate the effect of prucalopride on small bowel transit time for hospitalized patients undergoing VCE. Methods. We included all hospitalized patients who underwent VCE at a tertiary academic center from October 2011 through September 2016. A single 2 mg dose of prucalopride was given exclusively for all patients who underwent VCE between March 2014 and December 2015. VCE studies were excluded if the capsule was retained or endoscopically placed, if other prokinetic agents were given, in cases with technical failure, or if patients had prior gastric or small bowel resection. Results. 442 VCE were identified, of which 68 were performed in hospitalized patients. 54 inpatients were included, of which 29 consecutive patients received prucalopride. The prucalopride group had a significantly shorter small bowel transit time compared to the control group (92 versus 275.5, p<0.001 ). There was a trend for a higher completion rate in the prucalopride group (93.1% versus 76%, p=0.12 ). Conclusions. Our results suggest that the administration of prucalopride prior to VCE is a simple and effective intervention to decrease small bowel transit time.
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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".