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Record W3111115250 · doi:10.1161/strokeaha.120.030848

Magnetic Resonance Imaging–Guided Thrombolysis (0.6 mg/kg) Was Beneficial for Unknown Onset Stroke Above a Certain Core Size

2020· article· en· W3111115250 on OpenAlexaboutno aff
Ḱazunori Toyoda, Manabu Inoue, Sohei Yoshimura, Hiroshi Yamagami, Makoto Sasaki, Mayumi Fukuda‐Doi, Kazumi Kimura, Koko Asakura, Kaori Miwa, Takao Kanzawa, Masafumi Ihara, Rei Kondo, Masayuki Shiozawa, Masafumi Ohtaki, Kenji Kamiyama, Ryo Itabashi, Toru Iwama, Junya Aoki, Kazuo Minematsu, Haruko Yamamoto, Masatoshi Koga, Ban Mihara, Wataru Mouri, Eisuke Furui, Yukako Yazawa, Yukiko Enomoto, Yusuke Egashira, Yusuke Yakushiji, Taizen Nakase, Ryosuke Doijiri, Yasuhiro Ito, Junichiro Suzuki, Yoshinari Nagakane, Eijiro Tanaka, Yasushi Okada, Seiji Gotoh, Shuichi Igarashi, Hideyuki Ohnishi, Hiroyuki Ohnishi, Akira Tsujino, Yohei Tateishi, Shunya Takizawa, Kazunari Homma, Yoshiaki Shiokawa, Riéko Suzuki, Nobuyuki Sakai, Kenichi Todo, Nobuyuki Ohara, Yasuhiro Hasegawa, Naoshi Sasaki, Shuji Arakawa, Masato Osaki, Tsuyoshi Inoue, Yasushi Takagi, Yasuhisa Kanematsu, Shinichi Yoshimura, Yoshikazu Uesaka, Takao Urabe, Masao Watanabe, Toshihiro Ueda, Shoichiro Sato, Toshimitsu Hamasaki, Megimi Sakakibara, Takanari Kitazono, Toshiho Ohtsuki, Wataru Shimizu, Takashi Sozu, Teruyuki Hirano, Kohsuke Kudo, Naomi Morita, Ken Kuwahara, Akira Oita, Kenta Seki, Toshihiro Ide, Takashi Okada, Hajime Ikenouchi, Hiromi Ohara, Mihoko Uotani, Kayo Murata, Shoko Kamiyoshi, Haruka Kanai, Azusa Tokunaga, Ai Ito

Bibliographic record

VenueStroke · 2020
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThrombolysisModified Rankin ScaleStroke (engine)Magnetic resonance imagingRandomized controlled trialTissue plasminogen activatorCohortInternal medicineAnesthesiaRadiologyIschemic strokeIschemia

Abstract

fetched live from OpenAlex

Background and Purpose: We determined to identify patients with unknown onset stroke who could have favorable 90-day outcomes after low-dose thrombolysis from the THAWS (Thrombolysis for Acute Wake-Up and Unclear-Onset Strokes With Alteplase at 0.6 mg/kg) database. Methods: This was a subanalysis of an investigator-initiated, multicenter, randomized, open-label, blinded–end point trial. Patients with stroke with a time last-known-well >4.5 hours who showed a mismatch between diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery were randomly assigned (1:1) to receive alteplase at 0.6 mg/kg intravenously or standard medical treatment. The patients were dichotomized by ischemic core size or National Institutes of Health Stroke Scale score, and the effects of assigned treatments were compared in each group. The efficacy outcome was favorable outcome at 90 days, defined as a modified Rankin Scale score of 0 to 1. Results: The median DWI-Alberta Stroke Program Early CT Score (ASPECTS) was 9, and the median ischemic core volume was 2.5 mL. Both favorable outcome (47.1% versus 48.3%) and any intracranial hemorrhage (26% versus 14%) at 22 to 36 hours were comparable between the 68 thrombolyzed patients and the 58 control patients. There was a significant treatment-by-cohort interaction for favorable outcome between dichotomized patients by ASPECTS on DWI ( P =0.026) and core volume ( P =0.035). Favorable outcome was more common in the alteplase group than in the control group in patients with DWI-ASPECTS 5 to 8 (RR, 4.75 [95% CI, 1.33–30.2]), although not in patients with DWI-ASPECTS 9 to 10. Favorable outcome tended to be more common in the alteplase group than in the control group in patients with core volume >6.4 mL (RR, 6.15 [95% CI, 0.87–43.64]), although not in patients with volume ≤6.4 mL. The frequency of any intracranial hemorrhage did not differ significantly between the 2 treatment groups in any dichotomized patients. Conclusions: Patients developing unknown onset stroke with DWI-ASPECTS 5 to 8 showed favorable outcomes more commonly after low-dose thrombolysis than after standard treatment. Registration: URL: https://www.clinicaltrials.gov ; Unique Identifier: NCT02002325. URL: https://www.umin.ac.jp/ctr ; Unique Identifier: UMIN000011630.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.024
GPT teacher head0.280
Teacher spread0.256 · 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

Citations12
Published2020
Admission routes1
Has abstractyes

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