Extracorporeal Life Support for Acute Respiratory Failure. A Systematic Review and Metaanalysis
Bibliographic record
Abstract
RATIONALE: Extracorporeal life support (ECLS) for acute respiratory failure has increased as a result of technological advancements and promising results from recent studies as compared with historical trials. OBJECTIVES: Systematically review the effect of ECLS compared with mechanical ventilation on mortality, length of stay, and adverse events in respiratory failure. METHODS: Data sources included were MEDLINE, EMBASE, and CENTRAL (through to October 2013). Any randomized controlled trial (RCT) or observational study comparing ECLS to mechanical ventilation in adults was used. Two authors independently abstracted the data. Our primary outcome was mortality. Secondary outcomes included intensive care unit length of stay, hospital length of stay, and adverse events. A sensitivity analysis was performed restricted to RCTs and quasi-RCTs, and a number of predefined subgroups were identified to explore heterogeneity. MEASUREMENTS AND MAIN RESULTS: Ten studies (four RCTs, six observational studies, 1,248 patients) were included. There was no significant difference in hospital mortality with ECLS as compared with mechanical ventilation (risk ratio [RR], 1.02; 95% confidence interval [CI], 0.79-1.33; I(2) = 77%). When restricted to venovenous ECLS studies of randomized trials and quasi-randomized trials (three studies; 504 patients), there was a decrease in mortality with ECLS compared with mechanical ventilation (RR, 0.64; 95% CI, 0.51-0.79; I(2) = 15%). There were insufficient study-level data to evaluate most secondary outcomes. Bleeding was significantly greater in the ECLS group (RR, 11.44; 95% CI, 3.11-42.06; I(2) = 0%). In the H1N1 subgroup (three studies; 364 patients), ECLS was associated with significantly lower hospital mortality (RR, 0.62; 95% CI, 0.45-0.8; I(2) = 25%). CONCLUSIONS: ECLS was not associated with a mortality benefit in patients with acute respiratory failure. However, a significant mortality benefit was seen when restricted to higher-quality studies of venovenous ECLS. Patients with H1N1-acute respiratory distress syndrome represent a subgroup that may benefit from ECLS. Future studies are needed to confirm the efficacy of ECLS as well as the optimal configuration, indications, and timing for adult patients with respiratory failure.
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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 | 0.023 | 0.042 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.020 | 0.032 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".