Infected Pressure Ulcers in Elderly Individuals
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
Pressure ulcers in elderly individuals can cause significant morbidity and mortality and are a major economic burden to the health care system. Prevention should be the ultimate objective of pressure ulcer care, and it requires an understanding of the pathophysiology leading to pressure ulcers and the means of reducing both intrinsic and extrinsic risk factors. Clinical manifestations are protean, and early recognition requires a low threshold of suspicion. Clinical examination often underestimates the degree of deep-tissue involvement, and its findings are inadequate for the detection of associated osteomyelitis. Microbiological data, if obtained from deep-tissue biopsy, are useful for directing antimicrobial therapy, but they are insufficient as the sole criterion for the diagnosis of infection. Imaging studies, such as computed tomography and magnetic resonance imaging, are useful, but bone biopsy and histopathological evaluation remain the "gold standard" for the detection of osteomyelitis. The goals of treatment of pressure ulcers should be resolution of infection, promotion of wound healing, and establishment of effective infection control.
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.
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 | 0.002 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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