Setting up a Rescue Extracorporeal Life Support Program
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
Extracorporeal life support (ECLS) is a high-risk, lifesaving medical treatment that is typically limited to centers that can support a comprehensive ECLS program. Rescue programs can bridge the gap in care between ECLS centers and other tertiary pediatric centers without cardiac surgical and comprehensive ECLS support. We describe how our pediatric center without cardiac surgery successfully partnered with an established ECLS center to develop a Rescue ECLS Cannulation Program. This formalized program provides cannulation and stabilization by a specialized team at the presenting hospital before being transported to a partner hospital. This article outlines how we established our unique Rescue ECLS Cannulation program. We outline the planning, development, and implementation of the program and describe the unique aspects contributing to successful implementation including longitudinal training, staged program evolution, and a bundled approach to care. We also describe the patients who we have cannulated since its inception. Rescue ECLS Cannulation Programs provide access to consistent, high-quality, and lifesaving care to critically ill patients at sites without the resources to support a full ECLS program.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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