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Record W4385513775 · doi:10.1051/ject/201345051

Anatomical Advantage to Percutaneous Insertion of the Intra-Aortic Balloon through the Left Brachial Artery over the Right Brachial Artery

2013· article· en· W4385513775 on OpenAlexaff
Bharat Datt, Steve Miner

Bibliographic record

VenueJournal of ExtraCorporeal Technology · 2013
Typearticle
Languageen
FieldMedicine
TopicVascular Procedures and Complications
Canadian institutionsSouthlake Regional Health CenterStollery Children's Hospital
Fundersnot available
KeywordsMedicinePercutaneousAxillary arteryBrachial arterySurgeryCardiac catheterizationFemoral arteryBalloonSedationSternumRadiologyVascular closure device

Abstract

fetched live from OpenAlex

Off-label use of the intra-aortic balloon (IAB) is not recommended in ideal situations and certainly not a Food and Drug Administration-approved activity. The instruction-for-use manual for the IAB recommends percutaneous insertion. However, there are certain extreme situations where “thinking outside the box” appears necessary. We have successfully inserted a transthoracic IAB (TIAB) in the operating room where an open sternum is an option. This has been instituted whenever severe peripheral vascular disease (PVD) precludes a percutaneous attempt or when attempted insertion fails. An open chest is not a choice in the catheterization laboratory or the postoperative setting. We have successfully inserted the IAB through the brachial/axillary artery in a patient with bilateral aortofemoral grafts, with a history of severe PVD, in the cardiac catheterization laboratory. A left-sided approach is advisable for brachial artery insertion and an axillary approach is also possible under sedation. This case report details our experience with transbrachial insertion of the IAB and establishes counterpulsation through this route as a viable option, where an open chest is not available and a percutaneous femoral approach has failed.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.249
Teacher spread0.242 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2013
Admission routes1
Has abstractyes

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