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Record W1929941324 · doi:10.1186/s40463-015-0096-0

The Allen's test: Revisiting the importance of bidirectional testing to determine candidacy and design of radial forearm free flap harvest in the era of trans radial endovascular access procedures

2015· article· en· W1929941324 on OpenAlexaff
Andrew Foreman, John R. de Almeida, Ralph Gilbert, David P. Goldstein

Bibliographic record

VenueJournal of Otolaryngology - Head and Neck Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicVascular Procedures and Complications
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
FundersRoyal Australasian College of Surgeons
KeywordsRadial arteryMedicineForearmOcclusionSurgeryUlnar arteryFree flapArteryRadiology

Abstract

fetched live from OpenAlex

BACKGROUND: The radial forearm free flap is a workhorse free flap. The radial artery, which supplies it, is increasingly being used for endovascular access. A complication of this is radial artery occlusion. Although often asymptomatic it can compromise future free tissue transfer. CASE PRESENTATION: Two patients who underwent RFFF harvest for head and neck reconstruction are presented; both of who likely had distal radial artery occlusion. The first patient had failure of flap perfusion, presumed secondary to radial artery occlusion from prior endovascular access at the distal radial artery. In the second case, we used the Allen's test in reverse to identify the same scenario and successfully redesigned the harvest. CONCLUSION: The Allen's test is a simple bedside test that should be performed bidirectionally to exclude radial artery occlusion, which may compromise flap harvest. Radial artery occlusion will become increasingly common as the radial artery is used more frequently for endovascular access procedures.

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0010.002
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.055
GPT teacher head0.297
Teacher spread0.241 · 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 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

Citations18
Published2015
Admission routes1
Has abstractyes

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