Wounds in advanced illness: a prevalence and incidence study based on a prospective case series
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
A prospective observational sequential case series was studied in order to ascertain an accurate inventory of the various wound types, their point prevalence and incidence rates and their anatomic locations in patients with advanced illness. Five hundred and ninety-three patients were serially assessed until their deaths. Forty-three individual wound types were identified and grouped into nine distinct classes. Data were stratified between patients suffering from malignant and non malignant disorders. One thousand and thirty-six individual wounds (average 1.8 wounds per patient) were identified at baseline. Eight hundred and ninety-one individual wounds (average 1.5 wounds per patient) were identified between baseline and their date of death. Pressure ulcers constituted the most commonly occurring wound class affecting more than 50% of all patients. Malignant wounds were observed only in cancer patients. Baseline point prevalence for pressure ulcers, traumatic wounds, venous ulcers and arterial ulcers in non cancer patients exceeded that in cancer patients. At baseline, iatrogenic wounds were more prevalent in cancer patients than in non cancer patients. Incidence rates for pressure ulcers, traumatic wounds, diabetic ulcers, arterial ulcers and ostomies in non cancer patients exceeded those in cancer patients. The broad range of wounds along with high rates of prevalence and incidence, identified in this study, reflects that wounds represent a significant management issue for patients with advanced illness. Therefore, there exists a need for advancement in modalities and measures aimed at risk assessment, prevention and appropriate goal-oriented management.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it