New UK guidelines for the management of adult patients with ARDS
Bibliographic record
Abstract
Acute respiratory distress syndrome (ARDS) was first reported in a case series from Denver in 1967, 1 and remains a major problem in the severely ill.This was highlighted by data from the recently published Large observational study to UNderstand the Global impact of Severe Acute respiratory FailurE (LUNG SAFE) trial, which recorded admissions over 4 weeks to 459 intensive care units (ICUs) in 50 countries and included 29 144 patients.In total, 3022 (10.4%) cases fulfilled ARDS criteria, including almost a quarter of those supported with invasive mechanical ventilation.2 ARDS was associated both with high mortality and prolonged length of stay.In addition, long-term follow-up studies of patients with ARDS indicate high long-term morbidity and decreased quality of life.3 There is therefore a real need to improve outcomes in ARDS.With this aim in mind, the Intensive Care Society (ICS)/Faculty of Intensive Care Medicine (FICM) guideline for the management of the ARDS in adults was published towards the end of 2018. 4 The multidisciplinary Guideline Development Group used Grading of Recommendations Assessment, Development and Evaluation
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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 | 0.010 | 0.028 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.009 |
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".