Efficacy and Safety of Flow Diversion for Distal Anterior Cerebral Aneurysms: A Systematic Review and Proportional Meta-Analysis
Bibliographic record
Abstract
BACKGROUND: Flow diverters (FDs) are increasingly used off-label for the treatment of distal anterior cerebral artery aneurysms (DACAAs), located at or beyond the A2 segment of the anterior cerebral artery (ACA). However, data on safety and efficacy remain limited. PURPOSE: To evaluate the safety and efficacy of FDs for the treatment of DACAAs through a systematic review and meta-analysis. DATA SOURCES: PubMed, Scopus, and Web of Science were systematically searched according to Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. STUDY SELECTION: Studies were eligible if they reported on ≥5 patients treated with FDs for DACAAs and provided angiographic and clinical outcome data. DATA ANALYSIS: Efficacy outcomes included adequate and complete aneurysm occlusion rates and re-treatment rates. Safety outcomes included good functional outcome (mRS 0-2), procedure-related morbidity and mortality, procedure-related complications, in-stent stenosis, and covered branch occlusion. Pooled estimates with 95% CIs were calculated by using a random-effects model. DATA SYNTHESIS: Eleven retrospective studies comprising 326 patients (71% women; mean age, 59.4 ± 4.4 years) with 328 DACAAs were included. Most aneurysms were unruptured (95.7%) and located in the A2 or A2-A3 segments (89%). Adequate and complete occlusion at last follow-up were 89% (95% CI, 82-96) and 77% (95% CI, 69-85), respectively. The re-treatment rate was 1% (95% CI, 0-3). Good functional outcome was reported in 97% (95% CI, 95-100). Procedure-related complications occurred in 7% (95% CI, 1-12), resulting in 1% morbidity (95% CI, 0-3) and no procedure-related deaths. In-stent stenosis and covered branch occlusion were observed in 4% (95% CI, 0-10) and 10% (95% CI, 6-13), respectively. Clinically symptomatic covered branch occlusion was rare (1.1%), possibly reflecting the adequacy of collateral circulation in distal ACA territory. LIMITATIONS: The analysis is based on retrospective studies that lacked centralized adjudication of angiographic outcomes, potentially introducing methodologic biases intrinsic to such study designs, including selection bias, confounding, and publication bias. CONCLUSIONS: FDs appear to be a safe and effective treatment option for DACAAs, with high rates of occlusion and favorable clinical outcomes, and low rates of re-treatment and procedure-related complications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.041 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.045 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".