Mechanical Thrombectomy for Acute Ischemic Stroke in Southeast Asian Countries: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
Abstract This study aims to systematically examine the results of mechanical thrombectomy (MT) in managing acute ischemic stroke (AIS) among patients in Southeast Asia, addressing the current gap in region-specific data. A thorough search was performed in Scopus and PubMed databases from inception through February 2025, with additional sources identified through citation tracking. This review included observational studies involving adult AIS patients who underwent MT. The study quality was appraised using the Newcastle-Ottawa Scale. Key clinical endpoints assessed included favorable functional independence mRS scores (0–2), successful recanalization (TICI 2b/3), incidence of symptomatic intracranial hemorrhage (sICH), and 90-day mortality. Outcome data were synthesized using pooled proportion estimates under a random-effects modeling. Statistical heterogeneity was evaluated using the I2 metric. A total of 12 observational studies encompassing 1,037 patients were included. The studies were from Vietnam, Singapore, Indonesia, Philippines, and Thailand. The pooled proportion of patients achieving functional independence mRS (0–2) was 48.3% (95% CI: 38.9 -57.8%; I2 = 88.06%), while successful recanalization was achieved in 72.3% (95% CI: 63.3–81.2%; I2 = 91.86%). The rates of sICH and mortality were 7.95% (95% CI: 4.9–11%; I2 = 64.85%) and 17.3% (95%CI: 11 -23.6%; I2 = 80.69%), respectively. Subgroup analysis showed that prospective studies had better outcomes than retrospective studies, with higher functional independence and lower mortality rates. outcomes varied across countries, likely reflecting differences in healthcare infrastructure, access to thrombectomy-capable centers, and stroke system maturity. Mechanical thrombectomy in Southeast Asia yields effectiveness and safety outcomes comparable to those observed in Western high-income countries, despite resource limitations. However, regional variations highlight the influence of healthcare infrastructure on stroke outcomes. Expanding MT programs, improving early access to care, and addressing financial barriers are essential steps toward optimizing regional stroke care.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.008 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".