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Record W4295743166 · doi:10.51731/cjht.2022.443

Letter to the Editor Regarding CADTH rapid review: Systemic Thrombolysis by Alteplase for Acute Ischemic Stroke

2022· letter· en· W4295743166 on OpenAlexaboutno aff
Andrew Micieli, Gary R. Hunter, Dylan Blacquière, Andrew M. Demchuk

Bibliographic record

VenueCanadian Journal of Health Technologies · 2022
Typeletter
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsThrombolysisMedicineStroke (engine)Acute strokeIschemic strokeIntensive care medicineTissue plasminogen activatorCardiologyInternal medicineIschemiaMyocardial infarctionEngineering

Abstract

fetched live from OpenAlex

The Canadian Stroke Consortium read with interest the recent rapid review by CADTH on the evidence of alteplase for acute ischemic stroke. We felt it necessary to reply for several reasons: despite the 27-year history of alteplase since the NINDS publication, the rapid review limits the search to the last 6 years, which does not reflect the totality of the evidence, the process for inclusion of studies was questionable, leading to a strongly biased representation of the existing literature, and important concerns from the single expert reviewer were not adequately addressed prior to publication.

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)0.010
metaresearch head score (Gemma)0.100
Version: metacan-v3-hybrid-931329e0061cValidation 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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.991
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.100
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0050.004
Open science0.0040.001
Research integrity0.0380.025
Insufficient payload (model declined to judge)0.0070.008

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 head0.019
GPT teacher head0.278
Teacher spread0.260 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Health Technologies→Same topicAcute Ischemic Stroke Management→French-language works237,207→