Development, Validity, Reliability, and Responsiveness of a New Leg Ulcer Measurement Tool
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To develop and validate an assessment tool--the Leg Ulcer Measurement Tool (LUMT)--that would be able to detect changes in the appearance of lower extremity ulcers. SUBJECTS: Twenty-two subjects with chronic leg ulcers of various etiologies (arterial, venous, diabetes) participated in the validation study. DESIGN: An interdisciplinary panel consisting of 9 local wound care specialists confirmed content validity. Concurrent criterion validity was determined by correlation of the size domain (1 of 14 clinician-rated domains in the LUMT) with acetate tracing measurement of wound surface area. Reliability was determined using repeated assessments by 4 wound care specialist and 2 inexperienced evaluators; responsiveness was determined using monthly reassessments by a single rater for 4 months. RESULTS: Concurrent criterion validity was r = 0.82. Excellent values of intrarater and interrater reliability (ICC > 0.75) were obtained for total LUMT scores and for many of the 14 individual domains; however, several domains were found to be less reproducible. The LUMT detected change in wound status over time (responsiveness coefficient = 0.84). CONCLUSION: The LUMT can be used by 1 or more assessors, with relatively little previous training, to make reproducible evaluations of lower extremity ulcer appearance and to document change in appearance over time. The LUMT represents a novel assessment tool specifically designed and validated for clinical or research use on chronic leg ulcers.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it