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Record W2591005459 · doi:10.7575/aiac.abcmed.ca1.5

Initial Administration Of TPA For Ischemic Stroke In Atieh Hospital

2017· article· en· W2591005459 on OpenAlexaff
Majid Sabahi, S Ghazvinian, Mohammadali Hamiditabar, Saeid Bayat, NadiaAmalia Hakim

Bibliographic record

VenueAdvances in Bioscience and Clinical Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsSunnybrook HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicinePenumbraTissue plasminogen activatorThrombolysisStroke (engine)Ischemic strokePerfusionT-plasminogen activatorInfarctionFibrinolytic agentAnesthesiaIschemiaCardiologyInternal medicineMyocardial infarction

Abstract

fetched live from OpenAlex

Fibrinolytic therapy has a crucial role in decreasing morbidity and mortality of patients who suffer from ischemic stroke.The primary goal of therapy in acute ischemic stroke is to preserve tissue in the ischemic penumbra, where perfusion is decreased but sufficient to stave off infarction. Tissue in this area of oligemia can be preserved by restoring blood flow to the compromised area and optimizing collateral flow.(4).Recombinant tissue-type plasminogen activator or TPA is a well-known medication for improving neurologic outcome in these patients.We present an acute ischemic stroke case, whom we started loading dose of TPA in the Emergency Room and continued maintenance dosage in the assigned Stroke ICU. She made a great recovery when she discharged from the hospital after one week and became independent in her daily activity when we met her after few months.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.037
GPT teacher head0.445
Teacher spread0.407 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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