Chronic Intestinal Dysmotility (CID) Secondary to Consumption of Sushi: A Case Series and Literature Review
Bibliographic record
Abstract
Chronic intestinal dysmotility (CID) applies to abnormal contractions caused by uncoordinated muscular activity in the intestines. Various associations and hypotheses have been postulated, but the etiology of CID is not clear. We present a case series of four young patients aged 16 - 30 years who presented with non specific gastrointestinal symptoms of abdominal pains, nausea, vomiting and constipation. There was no radiological evidence of intestinal dilatation. Laboratory and endoscopic evaluation failed to reveal any clear etiology. Dietary history revealed frequent consumption of sushi by all four patients. Chronic mercury toxicity via frequent sushi consumption was postulated to be the possible etiology of CID in these patients. Patients were advised to stop further sushi consumption. They were treated symptomatically with acid suppressing medications, anti-emetics, analgesics, antispasmodics and laxatives as needed. A remarkable improvement in symptoms was seen within 2 - 3 months. The present article systematically reviews the underlying etiology and presentation of CID secondary to sushi consumption with a focus on its public health importance. J Med Cases. 2014;5(2):98-104 doi: http://dx.doi.org/10.14740/jmc1688e
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".