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Record W2067324244 · doi:10.1177/08830738030180060301

Intra-arterial Tissue Plasminogen Activator for Thrombosis Complicating Cerebral Angiography in a 17-Year-Old Girl

2003· article· en· W2067324244 on OpenAlexaff
Meredith R. Golomb, Mubeen F. Rafay, Derek Armstrong, Patricia Massicotte, Rosalind Curtis, Selina Hune, Gabrielle deVeber

Bibliographic record

VenueJournal of Child Neurology · 2003
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineThrombosisTissue plasminogen activatorVenous thrombosisThrombusCerebral arteriesMiddle cerebral arteryRadiologyMagnetic resonance angiographyCerebral angiographySurgeryAngiographyMagnetic resonance imagingInternal medicineIschemia

Abstract

fetched live from OpenAlex

Few reports describe the use of intraarterial recombinant tissue plasminogen activator to treat intracranial thrombosis in children. A 17-year-old girl with a history of prior venous thrombosis developed a left middle cerebral artery thrombus during diagnostic cerebral angiogram. Therapy with intra-arterial tissue plasminogen activator was initiated. An immediate follow-up angiogram demonstrated recanalization, and diffusion-weighted magnetic resonance imaging 9 hours later showed no evidence of infarction. Following the angiogram, femoral artery thrombosis developed. Treatment with supratherapeutic levels of heparin, localized delivery of intra-arterial tissue plasminogen activator, embolectomy, danaparoid, and dipyridamole failed to re-establish perfusion to the lower leg, and below the knee amputation was required. Neurologic examination remained normal 1 year later. Cerebral damage was avoided with the use of emergency intra-arterial tissue plasminogen activator for cerebral artery thrombosis in this child.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.621

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.268
Teacher spread0.252 · 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 designNot applicable
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

Citations38
Published2003
Admission routes1
Has abstractyes

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