Gastric Motility Dysfunction in Patients with Multiple Sclerosis Assessed by Gastric Emptying Scintigraphy
Bibliographic record
Abstract
BACKGROUND: Gastrointestinal tract symptoms are common in patients with multiple sclerosis (MS), especially constipation and/or fecal incontinence. AIMS: To assess gastric emptying in patients with MS to detect the severity of autonomic disturbances in the gastrointestinal tract, and to find the relationship between lower bowel disturbances and the rate of gastric emptying. METHODS: Forty-nine patients with definite MS and 20 control subjects were included in the study. All patients underwent full neurological examination and magnetic resonance imaging of the brain and spinal cord. The labelled meal for gastric emptying scintigraphy consisted of cooked eggs mixed with 3 mCi of technetium-99m colloid, and was followed by serial images at 15 min intervals for 2 h. RESULTS: Five studies were excluded due to technical artifacts. Twenty-one patients (47.7%) demonstrated slow emptying, 15 (34.1%) demonstrated normal and eight (18.2%) demonstrated fast clearance curves. The mean half-time of gastric emptying in MS patients was 96.6+/-22.4 min and the controls showed a mean half-time of 41.3+/-18.7 min (P<0.05). The half-time was longer in patients with constipation; nevertheless, it showed no significant difference compared with patients without constipation (P=0.197). Moreover, although half-time was shorter in patients with fecal incontinence, there was not a significant difference compared with those without fecal incontinence (P=0.654). CONCLUSIONS: The gastric emptying rate is slow in MS patients. As for lower bowel disturbances, the gastric emptying rate was obviously affected in patients complaining of constipation and fecal incontinence, although statistical significance was not reached.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".