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E-024 Antiplatelet therapy for primary prevention of thromboembolic complications prior to coiling-only endovascular aneurysm embolization. a meta-analysis

2018· article· en· W2918955755 on OpenAlexaff
Mohammed Almekhlafi, Andrea M. Kuczynski, Bijoy K. Menon, Michael D. Hill, Mayank Goyal

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicinePrasugrelAneurysmClopidogrelEmbolizationSurgeryEndovascular coilingStentRandomized controlled trialAspirinTIMIPlatelet aggregation inhibitorEndovascular treatmentThrombolysisInternal medicineMyocardial infarction

Abstract

fetched live from OpenAlex

Background Thromboembolic events are recognized complications of endovascular aneurysm coil embolization. The routine use of peri-procedural antiplatelet therapy is usually limited to patients undergoing stent or flow diverters placement. However, there is some evidence to suggest a protective effect of peri-procedural antiplatelet therapy even when stent placement is not anticipated. We performed a systematic review and meta-analysis to investigate the effects of routine use of antiplatelet therapy in the peri-procedural period for coiling-only aneurysm endovascular embolization. Methods We conducted a systematic review and meta-analysis of clinical studies in English language published up to March 2018 in the MEDLINE and EMBASE databases. Searches were supplemented by scanning bibliographies of key articles. We included retrospective and prospective studies published in full and reported original data on symptomatic thromboembolic events (clinical ischemic stroke or TIA) in patients with unruptured aneurysms treated using coiling-only techniques (primary coiling or balloon-assisted) and received peri-procedural oral antiplatelet therapy (single, dual, or multiple). Studies reporting only on stent-assisted coiling or flow diverters were excluded. Two authors independently selected eligible studies and extracted data. Results Out of 466 retrieved studies, we identified 14 eligible studies published between 2007 and 2017 and included 2431 patients. Only four studies had a prospective design. All studies were single center. There was one randomized trial that compared two antiplatelet regimens but did not include a control arm. The antiplatelet therapy regimen varied as some studies used single antiplatelet (ASA, clopidogrel, or prasugrel) while others used dual or multiple antiplatelet agents. Three studies had a control group which did not receive any antiplatelet therapy. In these studies, the pooled relative risk for symptomatic thromboembolic events in patients with versus without peri-procedural antiplatelet therapy was 0.33 (95% CI 0.17 to 0.92). We calculated the cumulative incidence (thromboembolic event rate at the end of the study) in all 14 studies. The overall incidence of symptomatic thromboembolic events in patients who did not receive any antiplatelet therapy was 11% (95% CI 4.3% to 17.7%), compared to 4.7% (95% CI 1.2% to 8.2%) in those on a single antiplatelet agent, and 2% (95% CI 1.0% to 3.0%) in patients on dual or multiple antiplatelet agents. Seven studies included data on the incidence of new lesions on diffusion-weighted imaging (DWI). In these studies, incidence of DWI lesions in patients on a single antiplatelet agent was 50.6% (95% CI 7.3% to 93.9%) compared to 43.9% (95% CI 25.9% to 61.9%) in patients on dual or multiple antiplatelet agents. There was no difference in the frequency of major hemorrhagic complications between the groups: control 1.8% (95% CI 0.2% to 3.5%), single antiplatelet 1.1% (95% CI 0.2% to 1.9%) and dual antiplatelet 1.5% (95% CI 0.7% to 2.4%). Conclusion In electively-treated patients with unruptured brain aneurysms undergoing endovascular coiling-only embolization, available evidence suggests that peri-procedural primary prophylaxis with antiplatelet therapy is associated with lower symptomatic and DWI thromboembolic events. Routine use of this approach warrants further investigation in a randomized control setting. Disclosures M. Almekhlafi: None. A. Alsultan: None. A. Kuczynski: None. B. Menon: None. M. Hill: None. M. Goyal: 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)0.011
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.989
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.024
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0110.064
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.063
GPT teacher head0.342
Teacher spread0.279 · 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.

Study designMeta-analysis
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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Citations0
Published2018
Admission routes1
Has abstractyes

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