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Record W4221115741 · doi:10.1161/svin.121.000234

The Society of Vascular and Interventional Neurology (SVIN) Mechanical Thrombectomy Registry: Methods and Primary Results

2022· article· en· W4221115741 on OpenAlexaboutno aff
Diogo C Haussen, Alhamza R Al‐Bayati, Mahmoud Mohammaden, Sunil A. Sheth, Sergio Salazar‐Marioni, Italo Linfante, Guilherme Dabus, Amy Starosciak, Ameer E Hassan, Wondwossen Tekle, Thanh N. Nguyen, Mohamad Abdalkader, Piers Klein, James E. Siegler, Pratit Patel, Tudor G. Jovin, Santiago Ortega‐Gutiérrez, Mudassir Farooqui, Cynthia Zevallos, Shahram Majidi, Johanna T Fifi, Stavros Matsoukas, Brijesh Mehta, Joy Sessa, Rebecca Sugg, Steve M Cordina, Guillermo Linares, Weston R. Gordon, Mouhammad Jumaa, David S. Liebeskind, Raul G. Nogueira

Bibliographic record

VenueStroke Vascular and Interventional Neurology · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInterquartile rangeModified Rankin ScaleStroke (engine)Prospective cohort studyCohortOcclusionNeuroradiologyNeurologySurgeryEmergency medicineInternal medicineIschemic strokeIschemia

Abstract

fetched live from OpenAlex

Background: A better understanding of real-world practice patterns in the endovascular treatment for large vessel occlusion acute ischemic stroke is needed. Here, we report the methods and initial results of the Society of Vascular and Interventional Neurology (SVIN) Registry. Methods: The SVIN Registry is an ongoing prospective, multicenter, observational registry capturing patients with large vessel occlusion acute ischemic stroke undergoing endovascular treatment since November 2018. Participating sites also contributed pre-SVIN Registry data collected per institutional prospective registries, and these data were combined with the SVIN Registry in the SVIN Registry+ cohort. Results: There were 2088 patients treated across 11 US centers included in the prospective SVIN Registry and 5372 in SVIN Registry+. In the SVIN Registry cohort, the median number of enrollments per institution was 160 [interquartile range 53-243]. Median age was 67 [58-79] years, 49% were women, median National Institutes of Health Stroke Scale 16 [10-21], Alberta stroke program early CT score 9 [7-10], and 20% had baseline modified Rankin scale (mRS)≥2. The median last-known normal to puncture time was 7.7 [3.1-11.5] hours, and puncture-to-reperfusion was 33 [23-52] minutes. The predominant occlusion site was the middle cerebral artery-M1 (45%); medium vessel occlusions occurred in 97(4.6%) patients. The median number of passes was 1 [1-3] with 93% achieving expanded Treatment In Cerebral Ischemia2b50-3 reperfusion and 51% expanded Treatment In Cerebral Ischemia3/complete reperfusion. Symptomatic intracranial hemorrhage occurred in 5.3% of patients, with 37.3% functional independence (mRS0-2) and 26.4% mortality rates at 90-days. Multivariable regression indicated older age, longer last-normal to reperfusion, higher baseline National Institutes of Health Stroke Scale and glucose, lower Alberta stroke program early CT score, heart failure, and general anesthesia associated with lower 90-day chances of mRS0-2 at 90-days. Demographic, imaging, procedural, and clinical outcomes were similar in the SVIN Registry+. A comparison between AHA Guidelines-eligible patients from the SVIN Registry against the Highly Effective Reperfusion evaluated in Multiple Endovascular Stroke Trials study population demonstrated comparable clinical outcomes. Conclusions: The prospective SVIN Registry demonstrates that satisfactory procedural and clinical outcomes can be achieved in real-world practice, serving as a platform for local quality improvement and the investigation of unexplored frontiers in the endovascular treatment of acute stroke.

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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.831

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0000.001
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 head0.017
GPT teacher head0.300
Teacher spread0.284 · 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 designNot applicable
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

Citations60
Published2022
Admission routes1
Has abstractyes

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