Medical and Economic Implications of Physical Disability of Survivorship
Bibliographic record
Abstract
Interventions developed in the last decade have led to impressive rates of survival from extreme critical illness. However, surviving an episode of critical illness is just the beginning. Discharge from the intensive care unit (ICU) is often the start of a long and challenging rehabilitation, mood disorders, cognitive impairment, financial hardship, and caregiver burden, burnout, and psychological distress. It has become increasingly apparent that the majority of patients who survive an episode of critical illness will have some degree of compromised physical function secondary to ICU Acquired Weakness (ICUAW) and a constellation of other physical disabilities. The spectrum of muscle, nerve, and brain dysfunction may be permanent and can significantly change the disposition for those who were previously independent. Furthermore, it may impose a substantial health care cost burden and compromise the reserve of even the most resilient family members. Important limitations in the current literature relate to our poor understanding of how to risk stratify, how to systematically educate and inform our patients and family caregivers about physical morbidity and complex patient care in the community, and how to develop, test, and implement rehabilitation programs tailored to individual need.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".