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Record W4385516648 · doi:10.1136/jnis-2023-snis.384

LB-010 Safety and effectiveness assessment of the surpass evolve (SEASE): a real-world international multicenter study

2023· article· en· W4385516648 on OpenAlexaff
Juan Vivanco‐Suarez, Johanna T Fifi, Demetrius K. Lopes, Aarón Rodríguez-Calienes, A Devarajan, Gábor Tóth, Thomas E. Patterson, David Altschul, Gustavo M Cortez, Ricardó A. Hanel, Hon‐Man Liu, Vítor Mendes Pereira, Anna Luisa Kühn, Ajit S Puri, Waldo R. Guerrero, Ivo Bach, Priyank Khandelwal, Sudhakar R Satti, Gautam Edhayan, Peter Kan, Mario Martínez‐Galdámez, C Given, Bradley A. Gross, Yang Lü, Milagros Galecio‐Castillo, Carlos Alva, Mudassir Farooqui, Sepideh Drakhshani, Santiago Ortega‐Gutiérrez

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicIntracranial Aneurysms: Treatment and Complications
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineFlow diverterComorbidityAneurysmSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Introduction/Purpose Flow diverters (FDs) are a well-established first-line treatment for specific intracranial aneurysms. The Surpass Evolve (SE) was introduced in 2019, and it is constructed with 48-64 wires (depending on the diameter) which enables navigation through an 0.027’ microcatheter. It has a high braid angle (rhomboid cell shape) that can be deployed through a significantly lower-profile delivery system. It maintains a high mesh density and uniform rhomboid cell shape regardless of its post-deployment state. Previously published studies on the SE are limited (case reports and series). Here we report the first international multi-center study evaluating the safety and effectiveness of the SE. Materials and Methods We performed an international, multicenter, cross-sectional, single-arm cohort study at 16 large-volume centers. All patients treated with the SE for intracranial aneurysms between 2020-2021 were included. Demographic, clinical, angiographic, and follow-up data were collected. Primary effectiveness outcome was complete occlusion (Raymond-Roy Class 1) at 1-year follow-up. Safety outcomes included the incidence of ischemic/hemorrhagic at 30 days and mortality. All radiographical outcomes were evaluated by independent core lab adjudication. Results 299 patients with 333 aneurysms underwent treatment with SE. Median age was 59 [50-67] years, and 252 (84%) were female. Most patients were white (187, 62%). Hypertension was the most common comorbidity in 150 (50%), and 115 (39%) patients were smokers. The baseline modified Rankin scale (mRS) was 0-2 in 290 (93%) of the cases, and the majority were unruptured (279, 93%) and saccular (269, 90%). Previous treatment was present in 76 (25%) patients, primarily with coils (54, 18%). Median aneurysm size was 5.5 [3.5-9] mm, and median neck width was 3.4 [2.6-4.8] mm. Most aneurysms were located in the paraophthalmic segment of the internal carotid artery (127, 43%), followed by the supraclinoid (93; 31%), and petrocavernous segments (39, 13%). Mean number of SEs implanted per patient was 1.00 (range 1-3). Radial access was used in 59 (20%) cases. Adjunctive coils in 29 (10%) and balloon-assisted angioplasty in 118 (40%) cases. At 10.8 [6.5-14.1] months median follow-up, 183/259 (71%) cases achieved complete aneurysm occlusion. Ischemic events were reported in 7 (3%) cases, hemorrhagic events in 1 (0.4%), and 4 (1%) deaths. Conclusion SEASE is the largest international multicenter study reporting outcomes after the implantation of the SE. Our results demonstrate that a 64-wire FD such as the SE has reliable effectiveness and carries a low rate of safety events in the treatment of mainly medium-sized aneurysms. Disclosures J. Vivanco-Suarez: None. J. Fifi: None. D. Lopes: None. A. Rodriguez-Calienes: None. A. Devarajan: None. G. Toth: None. T. Patterson: None. D. Altschul: None. G. Cortez: None. R. Hanel: None. E. Liu: None. V. Pereira: None. A. Kühn: None. A. Puri: None. W. Guerrero: None. I. Bach: None. P. Khandelwal: None. S. Satti: None. G. Edhayan: None. P. Kan: None. M. Martinez-Galdamez: None. C. Given: None. B. Gross: None. Y. Lu: None. M. Galecio-Castillo: None. C. Alva: None. M. Farooqui: None. S. Drakhshani: None. S. Ortega-Gutierrez: 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)0.003
metaresearch head score (Gemma)0.003
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
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.339
Teacher spread0.320 · 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".

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Citations1
Published2023
Admission routes1
Has abstractyes

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