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Record W3198269482 · doi:10.1161/strokeaha.120.033101

Thrombectomy in Extensive Stroke May Not Be Beneficial and Is Associated With Increased Risk for Hemorrhage

2021· article· en· W3198269482 on OpenAlexaboutno aff
Lukas Meyer, Matthias Bechstein, Maxim Bester, Uta Hanning, Caspar Brekenfeld, Fabian Flottmann, Helge Kniep, Noel van Horn, Milani Deb‐Chatterji, Götz Thomalla, Peter B. Sporns, Leonard L.L. Yeo, Benjamin Yong‐Qiang Tan, Anil Gopinathan, Andreas Kastrup, Maria Politi, Panagiotis Papanagiotou, André Kemmling, Jens Fiehler, Gabriel Broocks, Silke Wunderlich, Tobias Boeckh‐Behrens, Arno Reich, Martin Wiesmann, Ulrike Ernemann, Till‐Karsten Hauser, Eberhard Siebert, Christian H. Nolte, Sarah Zweynert, Georg Böhner, Alexander Ludolph, Karl‐Heinz Henn, Waltraud Pfeilschifter, Marlis Wagner, Joachim Röther, Bernd Eckert, Jörg Berrouschot, Albrecht Bormann, Anna Alegiani, Elke Hattingen, Gabor C. Petzold, Sven Thonke, Christopher Bangard, Christoffer Kraemer, Martin Dichgans, Frank A. Wollenweber, Lars Kellert, Franziska Dorn, Moriz Herzberg, Marios Psychogios, Jan Liman, Martina Petersen, Florian Stögbauer, Peter Kraft, Mirko Pham, Michael Braun, Gerhard F. Hamann, Klaus Gröschel, Timo Uphaus, Volker Limmroth

Bibliographic record

VenueStroke · 2021
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStroke (engine)Stroke riskIntracerebral hemorrhageInternal medicineIschemic strokeCardiologySubarachnoid hemorrhageIschemia

Abstract

fetched live from OpenAlex

Background and Purpose: This study evaluates the benefit of endovascular treatment (EVT) for patients with extensive baseline stroke compared with best medical treatment. Methods: This retrospective, multicenter study compares EVT and best medical treatment for computed tomography (CT)–based selection of patients with extensive baseline infarcts (Alberta Stroke Program Early CT Score ≤5) attributed to anterior circulation stroke. Patients were selected from the German Stroke Registry and 3 tertiary stroke centers. Primary functional end points were rates of good (modified Rankin Scale score of ≤3) and very poor outcome (modified Rankin Scale score of ≥5) at 90 days. Secondary safety end point was the occurrence of symptomatic intracerebral hemorrhage. Angiographic outcome was evaluated with the modified Thrombolysis in Cerebral Infarction Scale. Results: After 1:1 pair matching, a total of 248 patients were compared by treatment arm. Good functional outcome was observed in 27.4% in the EVT group, and in 25% in the best medical treatment group (P=0.665). Advanced age (adjusted odds ratio, 1.08 [95% CI, 1.05–1.10], P<0.001) and symptomatic intracerebral hemorrhage (adjusted odds ratio, 6.35 [95% CI, 2.08–19.35], P<0.001) were independently associated with very poor outcome. Mortality (43.5% versus 28.9%, P=0.025) and symptomatic intracerebral hemorrhage (16.1% versus 5.6%, P=0.008) were significantly higher in the EVT group. The lowest rates of good functional outcome (≈15%) were observed in groups of failed and partial recanalization (modified Thrombolysis in Cerebral Infarction Scale score of 0/1–2a), whereas patients with complete recanalization (modified Thrombolysis in Cerebral Infarction Scale score of 3) with recanalization attempts ≤2 benefitted the most (modified Rankin Scale score of ≤3:42.3%, P=0.074) compared with best medical treatment. Conclusions: In daily clinical practice, EVT for CT–based selected patients with low Alberta Stroke Program Early CT Score anterior circulation stroke may not be beneficial and is associated with increased risk for hemorrhage and mortality, especially in the elderly. However, first- or second-pass complete recanalization seems to reveal a clinical benefit of EVT highlighting the vulnerability of the low Alberta Stroke Program Early CT Score subgroup. 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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.015
GPT teacher head0.259
Teacher spread0.244 · 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.

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

Citations63
Published2021
Admission routes1
Has abstractyes

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