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
RATIONALE: Extracorporeal membrane oxygenation (ECMO) use has exploded over the last decade. However, it remains invasive and associated with significant complications, including tamponade, infection, thrombosis, gas embolism and bleeding. The most dreaded complication is intracranial hemorrhage (ICH). In this article, we review the literature on the incidence, diagnosis, risk factors, pathophysiology, prognosis, prevention and management of ICH in adults on ECMO. MAIN FINDINGS: We found a high incidence of ICH in the literature with a poor prognosis. Important risk factors included pre-ECMO cardiac arrest, sepsis, influenza, renal failure, renal replacement therapy, hemolysis and thrombocytopenia. The optimal anticoagulation strategy is still uncertain. As platelet dysfunction and depletion appear to play an important role in the pathogenesis of ICH in patients on ECMO, a liberal platelet transfusion strategy may be advised. Prompt computed tomography (CT) diagnosis is of great importance as interventions to limit hematoma expansion and secondary neurological injury are most effective if instituted early. Transporting patients to the radiology department can be performed safely while on ECMO. A strategy combining screening CT on admission with a heparin-free period of extracorporeal support was demonstrated to be safe in VV-ECMO patients and resulted in a better prognosis compared to similar cohorts in the literature. CONCLUSION: Despite major technological improvements and all the experience gained in adults, ECMO remains associated with a high incidence of ICH. There are still wide gaps in our understanding of the disease. Optimal management strategies that minimize the risk of ICH and improve prognosis need to be further studied.
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) | 0.001 | 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) | 0.001 | 0.003 |
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