The gastric emptying scan as a tool for surgical management of severe bowel dysfunction in spinal cord injury: 2 Case reports
Bibliographic record
Abstract
Mukand JA, Kaplan MS, Blackinton DD, Biener-Bergman S, Trojan DA. The gastric emptying scan as a tool for surgical management of severe bowel dysfunction in spinal cord injury: 2 Case Reports. Arch Phys Med Rehabil 2000;81:1531-4. We describe 2 patients with spinal cord injury (SCI) for whom the gastric emptying scan (GES) was crucial for determining the correct surgical approach in the therapeutic management of gastrointestinal complaints. Two men, ages 45 and 51 years, were admitted to a university hospital for delayed gastric complications from SCI. Both SCIs were traumatic, and the interval since injury was 18 months for the younger man and 6 months for the older man. Both men lacked voluntary motor and sensory function below the cord level of the lesion and had quadriplegia. Using GES, we measured motility (the cutoff for normal in this laboratory is 37%) and the time at which half the gastric contents were emptied (normal values are 45 ± 8min). Both patients had abnormal motility: residuals at 1 hour were above 50%. Half the gastric contents were emptied at 75 and 90 minutes, respectively. The therapeutic value of the GES was demonstrated for both patients, in combination with the history, physical examination, and abdominal radiographic studies. The first patient underwent ileostomy, and the second required a gastrostomy tube and a jejunostomy tube in addition to metoclopramide. The GES is a valuable diagnostic tool with an important role in the surgical management of patients with SCI. © 2000 by the American Congress of Rehabilitation Medicine and the American Academy of Physical Medicine and Rehabilitation
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.007 | 0.004 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.025 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".