Bibliographic record
Abstract
OBJECTIVE: To document the type and frequency of individual residual limb skin problems among patients using a lower extremity prosthesis, including the suggested etiology and management of each type of skin problem. DESIGN: This is a 6-yr retrospective chart review of skin lesions diagnosed in patients examined in an outpatient amputee clinic at a regional, referral rehabilitation hospital in Ottawa, Canada. Skin lesions were included if they were on a lower extremity residual limb for a patient who functionally used a prosthesis. Descriptive statistics were used to analyze data. RESULTS: A total of 528 skin problems were documented in 337 lower extremity residual limbs. Ulcers, irritations, inclusion cysts, calluses, and verrucous hyperplasia were the five most common skin problems representing 79.5% of all documented skin disorders. CONCLUSIONS: This study demonstrated that a wide variety of dermatologic conditions occurred frequently in the lower extremity amputee who functionally used a prosthesis. Five types of skin problems accounted for nearly 80% of the skin lesions identified. Future studies are required to evaluate prevention and management of the most frequent skin problems.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".