Evolution of Technology, Establishment of Program, and Clinical Outcomes in Pediatric Extracorporeal Membrane Oxygenation: The “SickKids” Experience
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
Technological development has had a tremendous impact on the management of patients who require extracorporeal membrane oxygenation (ECMO). Team development and education are a vital component of a successful extracorporeal life support (ECLS) Program to reduce complications and subsequently improve clinical outcomes. We sought to review the evolution in technology, importance of team development and training, and report our experience at The Hospital for Sick Children, Toronto. There were a total of 576 ECMO runs in 534 patients (42 repeat ECMO runs) between January 1988 and June 2012. The use of ECMO for cardiac disease has increased in the last decade due to an expanded indication for ECMO in patients with single-ventricle physiology. Cardiac ECMO still remains a challenge in terms of survival (177/392, 45%). Although development of an ECLS program and team education facilitated extracorporeal cardiopulmonary resuscitation, clinical outcomes were not satisfactory (survival, 33%). The most common complications were hemorrhagic (13.8%), followed by renal (10.6%) and pulmonary dysfunction (6.9%). Advances in technology made management during ECMO safer, and the mechanical complications related to the ECMO system were 6.1%, including circuit changes due to thrombus formation, cannula repositioning, or optimization of size.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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