Bibliographic record
Abstract
PURPOSE: To present a case study involving the use of silver- impregnated hydrofiber and wall-suction in the treatment of peristomal pyoderma gangrenosum. RATIONALE: 60-year-old male suffering from Crohn's disease since his early teenage years. Had been in and out of the hospital for many years with complications from his disease, including multiple small and large bowel resections and revisions. Unfortunately, the patient has been left with short-bowel syndrome and a very high-output ileostomy, treated with Parenteral Nutrition in the past, but most recently was able to sustain nutrition. His Crohn's disease is complicated by very longstanding steroid dependency, in turn, developing Diabetes (poorly controlled) and pseudo obstruction, treated with decompressing proximal jejunostomy and home TPN. Patient developed extensive peristomal ulcers surrounding his jejunostomy with nausea, increased weakness and malnutrition, at which time patient agreed to be admitted to hospital for nutritional parenteral support. PROBLEM: Maintaining a pouching seal around the stoma that would heal the pyodermal ulcers and contain the effluent. MANAGEMENT: Utilized wound and ostomy products along with low wall suction to maintain a 7-day pouching seal and heal the pyoderma gangrenosum. Products utilized were a silver-impregnated hydrofiber, barrier spray, stomahesive powder, stomahesive wafer, convex 2 pc. pouching system, appliance belts, pink tape, and low wall suction. CONCLUSION: Pyodermal lesions healed, patient was able to maintain pouching system independently without the need for wall suction and patient was discharged back to home environment. Patient returned to hospital for unrelated diagnoses and follow-up was conducted. Patient's peristomal skin remained healed and ulcers did not return.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".