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Record W1969151167 · doi:10.1097/rlu.0b013e31819e50b6

Recurrent Falls Resulting in Pseudoaneurysm of a Calcified Femoral Artery

2009· article· en· W1969151167 on OpenAlexaff
Payam S. Pahlavan, William D. Leslie

Bibliographic record

VenueClinical Nuclear Medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicVascular Procedures and Complications
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsPseudoaneurysmMedicineRadiologyFemoral arteryComplicationSuperficial femoral arterySurgeryCalcificationArterial diseaseVascular disease

Abstract

fetched live from OpenAlex

Femoral pseudoaneurysm is a well-recognized complication of direct vascular injury from penetrating trauma, skeletal fractures or invasive catheter-based procedures. We report the unexpected diagnosis of a large femoral artery pseudoaneurysm that developed after recurrent falls led to disruption of the heavily calcified vessel wall. The pseudoaneurysm was originally missed by duplex ultrasound and CT, and incidentally detected on bone scintigraphy. Pseudoaneurysms arising spontaneously or from minor trauma such as a simple falls are infrequent. Underlying brittleness of the arterial wall due to extensive calcification may predispose to this condition.

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)0.007
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 score0.004
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.084
GPT teacher head0.410
Teacher spread0.326 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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