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Record W4385264241 · doi:10.1161/strokeaha.123.042794

Association Between Recanalization Attempts and Functional Outcome After Thrombectomy for Large Ischemic Stroke

2023· article· en· W4385264241 on OpenAlexaboutno aff
Laurens Winkelmeier, Tobias D. Faizy, Gabriel Broocks, Lukas Meyer, Christian Heitkamp, Caspar Brekenfeld, Christian Thaler, Paul Steffen, Maximilian Schell, Milani Deb‐Chatterji, Uta Hanning, Helge Kniep, Máté E. Maros, Götz Thomalla, Jens Fiehler, Fabian Flottmann, Anna Alegiani, Jörg Berrouschot, Tobias Boeckh‐Behrens, Georg Böhner, Jan Borggrefe, Albrecht Bormann, Michael Braun, Franziska Dorn, Bernd Eckert, Ulrike Ernemann, Marielle Ernst, Christian Gerloff, Klaus Gröschel, Gerhard F. Hamann, Jörg Hattingen, Karl‐Heinz Henn, Fee Keil, Lars Kellert, Christoffer Kraemer, Ruben Mühl‐Benninghaus, Jan Liman, Alexander Ludolph, Christian H. Nolte, Omid Nikoubashman, Martina Petersen, Gabor C. Petzold, Sven Poli, Arno Reich, Joachim Röther, Jan Hendrik Schäfer, Peter D. Schellinger, Eberhard Siebert, Florian Stögbauer, Steffen Tiedt, Christoph Trumm, Timo Uphaus, Silke Wunderlich, Sarah Zweynert

Bibliographic record

VenueStroke · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThrombolysisOdds ratioStroke (engine)Modified Rankin ScaleInternal medicineCerebral infarctionRandomized controlled trialRetrospective cohort studyReperfusion therapyCardiologySurgeryMyocardial infarctionIschemic strokeIschemia

Abstract

fetched live from OpenAlex

BACKGROUND: Recently, 3 randomized controlled trials provided high-level evidence that patients with large ischemic stroke achieved better functional outcomes after endovascular therapy than with medical care alone. We aimed to investigate whether the clinical benefit of endovascular therapy is associated with the number of recanalization attempts in extensive baseline infarction. METHODS: This retrospective multicenter study enrolled patients from the German Stroke Registry who underwent endovascular therapy for anterior circulation large vessel occlusion between 2015 and 2021. Large ischemic stroke was defined as an Alberta Stroke Program Early Computed Tomography Score of 3 to 5. The study cohort was divided into patients with unsuccessful reperfusion (Thrombolysis in Cerebral Infarction score, 0–2a) and successful reperfusion (Thrombolysis in Cerebral Infarction score, 2b/3) at attempts 1, 2, 3, or ≥4. The primary outcome was favorable functional outcome defined as modified Rankin Scale score of 0 to 3 at 90 days. Safety outcomes were symptomatic intracranial hemorrhage after 24 hours and death within 90 days. Multivariable logistic regression was used to identify independent determinants of primary and secondary outcomes. RESULTS: A total of 348 patients met the inclusion criteria. Successful reperfusion was observed in 83.3% and favorable functional outcomes in 36.2%. Successful reperfusion at attempts 1 (adjusted odds ratio, 5.97 [95% CI, 1.71–24.43]; P =0.008) and 2 (adjusted odds ratio, 6.32 [95% CI, 1.73–26.92]; P =0.008) increased the odds of favorable functional outcome, whereas success at attempts 3 or ≥4 did not. Patients with >2 attempts showed higher rates of symptomatic intracranial hemorrhage (12.8% versus 6.5%; P =0.046). Successful reperfusion at any attempt lowered the odds of death compared with unsuccessful reperfusion. CONCLUSIONS: In patients with large vessel occlusion and Alberta Stroke Program Early Computed Tomography Score of 3 to 5, the clinical benefit of endovascular therapy was linked to the number of recanalization attempts required for successful reperfusion. Our findings encourage to perform at least 2 recanalization attempts to seek for successful reperfusion in large ischemic strokes, while >2 attempts should follow a careful risk-benefit assessment in these highly affected patients. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03356392.

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)0.003
metaresearch head score (Gemma)0.009
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.294
Teacher spread0.266 · 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

Citations34
Published2023
Admission routes1
Has abstractyes

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