Gustatory sweating recurring on peritoneal dialysis but resolving during periods of hemodialysis
Bibliographic record
Abstract
Gustatory sweating is a rare disorder characterized by profuse sweating on the forehead, face, scalp, and neck occurring soon after ingesting food, which has been reported in diabetic patients. The mechanism is thought to be triggered by taste buds and not gastric stimulation. We report a case where gustatory sweating repeatedly developed on peritoneal dialysis that resolved on periods of hemodialysis. A 32-year-old woman with diabetic end-stage renal disease developed gustatory sweating shortly after beginning continuous ambulatory peritoneal dialysis despite excellent clearances. After 5 months, she changed to hemodialysis for 2 months and noticed complete resolution of her gustatory sweating; however, after her return to peritoneal dialysis 2 months later, her gustatory sweating recurred. While on peritoneal dialysis, she was treated with clonidine, which resulted in improvement but not resolution of her symptoms as had occurred on hemodialysis. Another period on hemodialysis resulted in the resolution of her symptoms that returned again after restarting peritoneal dialysis. Clonidine provided incomplete relief while topical glycopyrrolate was effective and without complications. We report recurrent gustatory sweating on peritoneal dialysis that resolved with hemodialysis. We have no data to suggest that intra-abdominal stimulation played a role, but rather that despite excellent clearances neuropathy may have played a role. Treatment with topical glycopyrrolate may be safe and effective given every third day if clonidine is ineffective.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".