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Record W4405774701 · doi:10.54029/2024fjj

Stent-retriever alone vs. combined technique with balloon guide catheter in large vessel occlusion stroke: A single center experience

2024· article· en· W4405774701 on OpenAlexaboutno aff
Baki Doğan, Fatma Ger Akarsu, Zehra Uysal Kocabaş, Özlem Aykaç, Atilla Özcan Özdemi̇r

Bibliographic record

VenueNeurology Asia · 2024
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOcclusionBalloonStroke (engine)StentBalloon catheterCatheterCenter (category theory)SurgerySingle CenterEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Background: Today, balloon guide catheters are widely used in thrombectomies. This study aimed to compare the demographic, angiographic, and clinical outcome parameters of thrombectomy for anterior circulation large vessel occlusion strokes (LVOS) using a first-line stent retriever (SR) alone with those of a thrombectomy using a technique combining a balloon guide catheter (BGC) with a distal access catheter (DAC) and an SR. Methods: We retrospectively analyzed the data of patients who had experienced anterior circulation LVOS and underwent mechanical thrombectomy with a BGC at our stroke center between January 2015 and December 2022. The patients were divided into two groups based on the techniques used in the thrombectomy: a stent retriever alone (BGC+SR) and a combined approach (BGC+DAC+SR). Baseline characteristics, procedure details, angiographic results, and clinical outcomes were assessed. The primary clinical outcome in this study was the rate of functional independence (mRS score ≤2) at 90 days. The primary technical outcome was the rate of first pass effect (FPE), defined as achieving near complete/complete revascularization (modified thrombolysis in cerebral infarction [mTICI] 2c-3) after a single treatment pass. Secondary outcomes included mortality at 90 days, procedural complications, embolic complications, and symptomatic intracranial hemorrhage. Results: Out of 234 patients, 137 (58.6%) were in the BGC +SR group, while 97 (41.4%) were in the BGC+SR+DAC group. Patients treated with BGC and SR alone were younger (median age 58 vs. 61 years, p=0.005) and had a higher prevalence of middle cerebral artery occlusions (M1 segment: 64.9% vs. 37.5%; M2 segment: 14.9% vs. 5.2%, p<0.001) compared to those in the combined group. The BCG+SR group had a greater incidence of cardioembolism and embolic stroke of undetermined source (49.3% vs. 41.1%, 26.5% vs. 12.6%, respectively, p=0.007). The median NIHSS of the entire population was 15 (IQR, 11–18), and 108 (46%) patients received intravenous thrombolytics before thrombectomy. The patients treated with the combined technique tended to have higher rates of FPE compared to those in the BGC+SR (47.4% vs. 35.8%, p=0.074) and higher rates of successful (≥mTICI 2b) and excellent (≥mTICI 2c) recanalization overall (93.8% vs. 90.5% p=0.504; 78.4% vs. 71.5%, p=0.306, respectively). The groups had similar rates of good clinical outcome (mRS 0-2) and mortality at 90 days (61.7% vs. 53.3%, p=0.21;14.3% vs. 18.7%, p=0.495, respectively) with comparable rates of complications. Multivariate analyses identified higher baseline Alberta Stroke Program Early CT scores (OR=1.19; 95% CI, 1.09–1.28) and middle cerebral artery M1 occlusion locations (OR=1.90; 95% CI, 1.45–2.42) as independent predictors of first-pass success. Conclusion: In this study, treating acute ischemic strokes with an anterior system large vessel occlusion using a thrombectomy technique employing a BGC with an SR resulted in similar recanalization and FPE rates as using a technique employing a BGC in combination with an SR and a DAC. Both first-line strategy techniques had similar rates of good clinical outcome (mRS score ≤2) and mortality at 90 days.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.241
Teacher spread0.235 · 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 teacher head, 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
Published2024
Admission routes1
Has abstractyes

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