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Record W2939495229 · doi:10.1177/1941874419838961

tPA for Acute Ischemic Stroke and Its Controversies: A Review

2019· review· en· W2939495229 on OpenAlexaffabout
Brian Dewar, Michel Shamy

Bibliographic record

VenueThe Neurohospitalist · 2019
Typereview
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsConceptualizationMedicineAcute strokeNeurologyContext (archaeology)Stroke (engine)Tissue plasminogen activatorBridging (networking)Alternative medicineIntensive care medicineEmergency departmentMedical emergencyPsychiatryPathologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: Although neurologists consider intravenous tissue plasminogen activator (tPA) to be standard of care in the treatment of patients with acute ischemic stroke, its use remains contentious within the broader medical community, and particularly among emergency physicians. Why might this be? We provide a historical context to this ongoing controversy by reviewing how neurologists have conceptualized the acute stroke and its treatment, with the aim of bridging this gap. METHODS: Based on historical sources in the Mackie Family History of Neuroscience Collection at the University of Calgary, as well as online resources, we trace the evolution of the concept of the "acute stroke," which has come to mean a stroke that is potentially treatable with tPA. We frame this conceptualization in relation to historical "building blocks" in anatomy, pathology, and physiology. We then use these building blocks to explain why neurologists understand tPA to be effective and why emergency physicians often do not. RESULTS AND CONCLUSIONS: Arguments against the use of tPA reiterate 20-year-old concerns about its efficacy and safety. We believe these persistent concerns can be framed as a lack of understanding of the "building blocks" upon which neurologists' conception of tPA is built. Our view suggests that the way forward to bridge the gap between neurology and other disciplines is not to conduct more trials but to offer a shared conceptualization of the trials already completed and of the intellectual tradition from which they emerged.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
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 head0.039
GPT teacher head0.345
Teacher spread0.306 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations21
Published2019
Admission routes2
Has abstractyes

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