Quality of professional society guidelines and consensus conference statements in critical care*
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 examine the quality of professional society critical care guidelines and consensus statements. DATA SOURCE: MEDLINE, EMBASE, Cochrane Library (to May 2007), conference proceedings (1990 to May 2007), and personal files. STUDY SELECTION: We considered documents focused on 1) mechanical ventilation and 2) prevention of complications of critical illness associated with mechanical ventilation. DATA EXTRACTION: Independently, two reviewers appraised the methodologic quality of each document using the Grilli, Shaneyfelt, and Appraisal of Guideline Research and Evaluation (AGREE) instruments. DATA SYNTHESIS: We compared the differences in mean scores of the results of the quality instruments to determine variability in quality of the documents. Our inclusion criteria were fulfilled by 13 guidelines and 12 consensus statements. Adherence to current methodologic standards was low. The quality of guidelines was significantly higher than consensus statements (p < or = .01). Limited data suggested that guideline quality improved from 1985 to 2005. Guidelines had higher AGREE scores compared with consensus statements (57.6 +/- 13.6 vs. 41.4 +/- 5.8, p = .002, out of possible total of 92). Consensus statements performed poorly in the identification and interpretation of evidence and in their description of the rationale for specific recommendations. Six articles reported receiving industry funding, and 15 reported on conflicts of interest (present in three articles). CONCLUSIONS: The overall quality of critical care professional society guidelines and consensus statements, as assessed by three published quality instruments, is low. Although the quality of guidelines seems to be increasing over time, there is room for improvement, which could in turn facilitate knowledge translation and improve patient care in the intensive care unit.
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 | 0.002 | 0.079 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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