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Record W3176111089 · doi:10.1161/str.51.suppl_1.tp5

Abstract TP5: Optimizing First Pass TICI 3: FAST (Flow Arrest Aspiration Stentriever Technique)

2020· article· en· W3176111089 on OpenAlexaff
Carmen Parra-Fariñas, Jose Danilo Bengzon Diestro, Noora Almusalam, Rebecca Phillips, Abdullah Alqabbani, Emmad Qazi, Aditya Bharatha

Bibliographic record

VenueStroke · 2020
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of TorontoUniversity of CalgarySt. Michael's Hospital
Fundersnot available
KeywordsMedicineBalloonCatheterSurgeryStroke (engine)Solitaire Cryptographic AlgorithmIschemic strokeInternal medicineIschemiaModified Rankin Scale

Abstract

fetched live from OpenAlex

Introduction: Timely restoration of cerebral blood flow using mechanical thrombectomy for acute ischemic stroke is constantly evolving. We evaluated the impact of combining distal access catheter with proximal balloon guiding catheter and stentriever technique for mechanical thrombectomy in acute ischemic stroke patients. Methods: In accordance with our institutional review board approval, we retrospectively analyzed all the patients who underwent mechanical thrombectomy with stentriever between May 2011 and June 2019. The patients were divided by the techniques adopted, the combined technique: proximal balloon guiding catheter, distal access catheter and stentriever and the conventional approach: proximal balloon guiding catheter and stentriever. Analysis and outcome parameters: complete recanalization (TICI ≥2b), procedural time, early independent functional outcome (mRS ≤2 at discharge). Results: Among the 267 patients included, in 58.8% the combined technique was performed. Mean age at treatment was 68.4±13.3, 55.4% male. There were no statistically significant differences in baseline characteristics between the treatment groups. Median NIHSS score was 16 (6-34) on arrival. The overall complete recanalization rate was 68.5%. The combined technique group achieved higher complete recanalization rate; TICI ≥2b: 75.6% vs. 66.3% (p=0.001). In addition, the distal access catheter group achieved lower non-reperfusion rate; TICI=0: 15.4% vs. 26.5% (p=0.001). No significant differences were observed in first-pass successful reperfusion rate: 70.5% vs. 64.2% (p=0.333). The distal aspiration approach was not associated with longer procedural time: 67.4±28.4 min vs. 31.8±74.9 min (p=0.467). There were no significant differences regarding procedural complications: 8.3% vs. 7.3% (p=0.763); SICH: 8.5% vs. 12.2% (p=0.333). There were no significant differences in clinical outcomes; early functional independence rate: 45.0% vs. 54.3% (p=0.256), mortality rate: 12.8% vs. 15.2% (p=0.256). Conclusions: The combined techniquefor mechanical thrombectomy is associated with higher complete recanalization rate. The use of aspiration system does not seem to increase the procedural time or influence in complications development.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.021
GPT teacher head0.248
Teacher spread0.227 · 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
GenreOther

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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