Importance of extracorporeal membrane oxygenation (ECMO) in congenital heart diseases: a systematic review
Bibliographic record
Abstract
BACKGROUND: Congenital heart diseases (CHDs) represent a significant healthcare challenge with incidence rates of 17.9 per 1000 live births. Extracorporeal membrane oxygenation (ECMO) has become an invaluable therapeutic option providing essential aid to support both cardiac as well as pulmonary failure. METHODS: A systematic search was performed using PubMed, Embase, and Scopus from 2000 till date. Observational studies involving pediatric patients with CHD undergoing cardiac surgery using ECMO were included. The main outcomes were to determine short-term mortality, weaning off ECMO, complications, hospital and ICU length of stay, and indications for ECMO. Assessment of the risk of bias of included studies was done by Newcastle-Ottawa scale. RESULTS: 24 retrospective observational studies, encompassing 1,658 patients, were ultimately included in our review. The overall incidence of mortality across these studies was 45.2%. Successful weaning from ECMO was achieved in 73.9% of patients. The most frequently reported complications included bleeding, which affected 42.9% of patients, renal failure in 42.5%, and sepsis in 27.5%. The mean duration of hospital stay was 47.8 ± 41.1 days, while the mean length of stay in the ICU was 33.4 ± 32.6 days. CONCLUSIONS: ECMO benefits pediatric heart patients but comes with risks like bleeding and high mortality. Percutaneous techniques can reduce complications; more research on minimally invasive approaches is needed.
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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 | 0.005 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".