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Record W4414419531 · doi:10.1161/svin.125.001810

Large Core Thrombectomy: Feasibility of Simplified Protocol in Resource‐Limited Settings

2025· article· en· W4414419531 on OpenAlexaboutno aff
Thien Quang Le, Son Van Nguyen, Thuy‐Phuong T. Pham, Nam Van Le, Hung D. Nguyen, Hoan My Pham, Trung Quoc Nguyen, Thong Nhu Pham, Hieu X. Cao, Vu Huynh, Hai Quang Duong, Chih‐Hao Chen, Trung Thành Nguyễn

Bibliographic record

VenueStroke Vascular and Interventional Neurology · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsProtocol (science)Core (optical fiber)Stroke (engine)Multicenter studyData lossData transmission

Abstract

fetched live from OpenAlex

BACKGROUND Several trials have demonstrated the benefits of endovascular thrombectomy (EVT) for large‐core strokes (Alberta Stroke Program Early CT [Computed Tomography] Score <6). However, its effectiveness in lower‐middle‐income countries with resource‐limited settings remains uncertain. This study evaluated the feasibility of EVT for large‐core strokes using a simplified imaging protocol with noncontrast CT and CT angiography in a resource‐constrained environment. METHODS We conducted a prospective, single‐center, observational study at Da Nang Hospital, Vietnam (May 2023–May 2024). Patients with anterior circulation large‐vessel occlusion strokes, Alberta Stroke Program Early CT Score <6 on noncontrast CT, admission National Institutes of Health Stroke Scale score ≥6, and EVT within 24 hours were included. The primary outcome was the modified Rankin Scale score at 90 days. Functional independence was defined as modified Rankin Scale score 0–2 and ambulatory independence as 0–3. Safety outcomes included symptomatic intracranial hemorrhage and 90‐day mortality. Post‐hoc indirect comparisons of ambulatory independence and mortality were made against the Large Stroke Therapy Evaluation EVT arm and the best medical treatment cohorts from 6 published “large core” randomized controlled trials. RESULTS Among 157 EVT‐treated patients, 52 (33.1%) had Alberta Stroke Program Early CT Score <6. Median age was 62.5 years, and 57.7% were male. Median onset‐to‐hospital time was 4.1 hours, admission National Institutes of Health Stroke Scale score15, and initial Alberta Stroke Program Early CT Score was 4. Successful reperfusion (modified Treatment in Cerebral Infarction≥2b) was 78.9%. At 90 days, the median modified Rankin Scale score was 3.5. Functional and ambulatory independence were 23.1% and 50%, respectively. Symptomatic intracranial hemorrhage occurred in 9.6%, mortality was 25%. Successful reperfusion was the only independent predictor of ambulatory independence (odds ratio [OR], 14.7; 95% CI, 1.6–134). Indirect comparisons showed higher ambulatory independence in our cohort compared with the Large Stroke Therapy Evaluation EVT arm (50.0% versus 33.5%, P = 0.033) and the pooled best medical treatment cohort from 6 published randomized controlled trials (50.0% versus 19.89%, P <0.001), with no significant mortality difference. CONCLUSIONS EVT is feasible for patients with large‐core stroke in lower‐income countries using a simplified noncontrast CT ‐CTA protocol. Successful reperfusion is a key determinant of improved outcomes. CLINICAL TRIAL REGISTRATION INFORMATION This study is a substudy of the multicenter PROMISE (Predictors of Good Outcomes in Thrombectomy for Large Infarct Core Stroke Evaluation) cohort, registered on ClinicalTrials.gov (NCT06016348, https://clinicaltrials.gov/study/NCT06016348 ), using data from patients enrolled at Da Nang Hospital.

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)0.024
metaresearch head score (Gemma)0.036
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 score0.024
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.036
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.024
GPT teacher head0.330
Teacher spread0.306 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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