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E-088 Timing and outcome of endovascular thrombectomy for in-hospital stroke: a systematic review and meta-analysis

2020· review· en· W3048187959 on OpenAlexaff
Shaden D Almutairi, Hiba Choudhury, Mohammed Almekhlafi

Bibliographic record

Venuenot available
Typereview
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineStroke (engine)Meta-analysisThrombolysisInternal medicineMEDLINERetrospective cohort studyEtiologyPediatricsSurgeryMyocardial infarction

Abstract

fetched live from OpenAlex

Background and Purpose Acute strokes due to large vessel occlusion in hospitalized patients is not uncommon. Evidence is limited on the management and outlook of such patients. treatment in these patients. We performed a systematic review and meta-analysis to investigate the benefit and timing of endovascular thrombectomy (EVT) for in-hospital stroke. Methods We conducted a systematic review and meta-analysis of clinical studies of ten patients or more published in English language until March 2020 in the MEDLINE and Cochrane databases. Searches were supplemented by scanning bibliographies of key articles. We included retrospective and prospective studies published in full and reported original data on the characteristics and outcomes of in-hospital stroke patients treated with EVT. Case reports or studies reporting the outcomes of mixed cohorts of intravenous thrombolysis or EVT were excluded if the characteristics of the EVT cohort were not reported separately. Two authors independently selected eligible studies and extracted data. Results Out of 4996 retrieved studies, six studies were included with a total of 111 patients. The median age was 73.7 years (range 58–81 years) and median NIHSS was 17 (range 13–21). Patients were commonly admitted to the cardiology service (24.3%) followed by surgery (17.1%) and hematology (11.7%). The most common stroke etiology was cardioembolic (61.3%) and large artery disease (9%), while 5.4% were malignancy-related. The most common occlusion sites were the middle cerebral (56%) and terminal carotid (28%) arteries. 21.6% received IV tPA. The pooled time from detection/last seen well to puncture was 134 minutes (95% CI: 100.9 to 167.2 minutes) (figure A). Successful reperfusion was described in 81.1.% with a pooled detection to reperfusion time of 191.8 minutes (95% CI: 167.6 to 216.1 minutes). Symptomatic intracranial hemorrhages occurred in 6.3%. The cumulative probability of a good clinical outcome (mRS <3) was 39% (95% CI: 27 to 51%) (figure B) with a cumulative mortality risk of 19% (95% CI: 11 to 27%). Conclusions Despite hospitalization and existing co-morbidities, EVT safety and outcomes in the in-hospital stroke patients with large vessel occlusion are not different from community-onset cases. Noticeable delays from detection to puncture time are reported in the literature which call for better stroke pathways to identify and treat these patients fast. Disclosures S. Almutairi: None. H. Choudhury: None. M. Almekhlafi: None.

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)0.010
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.027
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0120.034
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.097
GPT teacher head0.370
Teacher spread0.273 · 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 designMeta-analysis
Domainnot available
GenreReview

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
Published2020
Admission routes1
Has abstractyes

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