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Record W2796294839 · doi:10.1177/0267659118765628

Long venous cannula on the arterial position for VA-ECMO

2018· article· en· W2796294839 on OpenAlexaff
Maria Lorena Rodriguez, Gyaandeo Maharajh

Bibliographic record

VenuePerfusion · 2018
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineExtracorporeal membrane oxygenationCannulaFemoral arteryInterrupted aortic archAortaFemoral veinCardiologyAnesthesiaSurgeryPerfusionAortic arch

Abstract

fetched live from OpenAlex

Differential hypoxia and the arterial mixing zone are two important factors in managing peripheral veno-arterial extracorporeal membrane oxygenation (VA-ECMO). With the aim of improving perfusion to the aortic arch branches and coronaries, we describe our approach for VA-ECMO cannulation: bicaval drainage through the femoral vein and proximal retrograde ECMO flow using a multi-stage venous cannula inserted in the femoral artery and the tip placed at the proximal descending thoracic aorta. We report the use of this VA-ECMO approach on a 15-year-old female with combined cardiorespiratory failure and on a 12-year-old male with acute cardiac failure.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.015
GPT teacher head0.228
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2018
Admission routes1
Has abstractyes

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