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Record W4281919354 · doi:10.51731/cjht.2022.351

Systemic Thrombolysis by Alteplase for Acute Ischemic Stroke

2022· article· en· W4281919354 on OpenAlexaff
Nazia Darvesh, Robyn Butcher

Bibliographic record

VenueCanadian Journal of Health Technologies · 2022
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsCanadian Agency for Drugs and Technologies in Health
Fundersnot available
KeywordsMedicineThrombolysisStroke (engine)Significant differencePediatricsInternal medicineMyocardial infarction

Abstract

fetched live from OpenAlex

Evidence was summarized to determine the effect of alteplase in adult stroke patients. There is substantial uncertainty concerning the evidence due to the risk of bias in the available studies and imprecision in how the magnitude of the treatment effects were estimated. The identified research suggests that alteplase administered within 3 hours of a stroke might result in: fewer deaths after 18 months and little-to-no difference in death after 7 days, 3 months, 6 months, or 3 years increased brain bleeds after 7 days but no difference after 36 hours or after 3 months improvements in functioning and independence after 7 days and after 6 months; at 3 months, some studies showed no difference in independence and another study showed higher functioning. The identified research suggests that alteplase administered between 3 hours and 4.5 hours after a stroke might result in: little-to-no difference in deaths after 3 months; at 7 days, some evidence showed little-to-no difference in death while other evidence suggested more deaths little-to-no differences in brain bleeds after 36 hours; at 7 days, some evidence showed no effect on brain bleeds, while other evidence showed more brain bleeds no differences in functioning and independence after 6 months; at 3 months, some evidence showed no effect on functioning, while other evidence reported improved functioning.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.029
GPT teacher head0.284
Teacher spread0.256 · 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 designSystematic review
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

Citations2
Published2022
Admission routes1
Has abstractyes

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