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Record W2953694124 · doi:10.15557/an.2019.0002

What is new in the management of the acute ischaemic stroke?

2019· article· pl· W2953694124 on OpenAlexaboutno aff
Piotr Sobolewski, Waldemar Brola, Aleksandra Wach-Klink, Tadeusz Frańczak-Prochowski, Karol Paciura, Grzegorz Kozera

Bibliographic record

VenueAktualności Neurologiczne · 2019
Typearticle
Languagepl
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIschaemic strokeStroke (engine)Intensive care medicineCardiologyInternal medicineIschemia

Abstract

fetched live from OpenAlex

Stroke is a ma jor challenge for medicine in the 21st century. Despite modern diagnostics and even revolutionary methods of treatment, stroke is still the main cause of permanent disability and the second cause of death worldwide. Recent clinical trials have led to a breakthrough in the treatment of stroke. On their basis, many scientific societies updated the guidelines for the management of stroke. We present the most important changes in prehospital care, emergency evaluation, in-hospital non-specific treatment and specific treatment with intravenous thrombolysis and endovascular therapies. The paper is based on the recent recommendations of American Heart Association/American Stroke Association; Canadian Stroke Consortium and the Canadian Association of Emergency Physicians; European Stroke Organisation and Polish Neurological Society. Problems related to the pre- and in-hospital management of patients with acute ischaemic stroke, with a particular emphasis on the dilemma on whether to bypass a primary stroke centre to transport the patient to a comprehensive stroke centre offering endovascular thrombectomy, and the problem of reducing door-to-needle time for intravenous thrombolysis are discussed. The recommendations for the treatment of arterial hypertension and hyperglycaemia in acute ischaemic stroke and the problem of extended time window for intravenous thrombolysis and endovascular thrombectomy are also discussed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0000.001
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 head0.016
GPT teacher head0.258
Teacher spread0.242 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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