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Stroke and aphasia rehabilitation: A comparison of international guidelines

2020· article· en· W3126740160 on OpenAlexaboutno aff
Dobrinka Georgieva, Dobrinka Kalpachka, R. Kalpachki

Bibliographic record

VenueLogopedia Silesiana · 2020
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
FundersErasmus+East Carolina University
KeywordsAphasiaStroke (engine)BulgarianRehabilitationMedicineIncidence (geometry)Physical therapyPsychiatryLinguistics

Abstract

fetched live from OpenAlex

Cerebrovascular diseases are the leading cause of morbidity and mortality worldwide. Unfortunately, Bulgaria leads most countries in its incidence of stroke. Furthermore, a substantial number of Bulgarian patients post-stroke present with persisting communication disorders, especially aphasia. The main purpose of the present study is to conduct an evidence-based theoretical review of leading international guidelines for treatment and rehabilitation of adult stroke patients. In particular, this theoretical overview compares the current Bulgarian guidelines with those developed by the United States of America, Europe, Australia, Canada, the United Kingdom, and New Zealand. The Bulgarian guidelines for the prevention, diagnosis, and treatment of cerebrovascular diseases strongly recommends pharmacological treatment, which is commensurate with international standards. Nationally, a range of different language tests are currently used in post-stroke aphasia.

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)0.009
metaresearch head score (Gemma)0.053
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.053
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.008
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.344
Teacher spread0.298 · 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
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

Citations0
Published2020
Admission routes1
Has abstractyes

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