The pain, agitation, and delirium practice guidelines for adult critically ill patients: a post-publication perspective
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
The recently published Clinical Practice Guidelines for the Management of Pain, Agitation, and Delirium in Adult Patients in the Intensive Care Unit differ from earlier guidelines in the following ways: literature searches were performed in eight databases by a professional librarian; psychometric validation of assessment scales was considered in their recommendation; discrepancies in recommendation votes by guideline panel members are available in online supplements; and all recommendations were made exclusively on the basis of evidence available until December of 2010. Pain recognition and management remains challenging in the critically ill. Patient outcomes improve with routine pain assessment, use of co-analgesics and administration as well as dose adjustment of opiates to patient needs. Thoracic epidurals help ease patients undergoing abdominal aortic surgery. Little data exists to guide clinicians as to the type or dose of co-analgesics; no opiate choice is associated with better patient outcomes. Lighter or no sedation is beneficial, and interruption is desirable in patients who require deep sedation for specific pathologic states. Delirium screening is probably useful; no treatment modality can be unequivocally recommended, and the benefit of prophylaxis is established only for early mobilization. The details of these recommendations, as well as more recent publications that complement the guidelines, are provided in this commentary.
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.
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Metaresearch Domain: Evaluation · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Qualitative | high |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | high |
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 | 0.996 |
| 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