Reperfusion Therapy in Acute Ischemic Stroke with Active Cancer: A Meta-Analysis Aided by Machine Learning

  • Eun, M.-Y.; 
  • Jeon, E.-T.; 
  • Seo, K.-D.; 
  • Lee, D.; 
  • Jung, J.-M.
Citations

WEB OF SCIENCE

16
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SCOPUS

19

초록

Objectives: While the prevalence of active cancer patients experiencing acute stroke is increasing, the effects of active cancer on reperfusion therapy outcomes are inconclusive. Thus, we aimed to compare the safety and outcomes of reperfusion therapy in acute stroke patients with and without active cancer. Materials and Methods: A comprehensive literature search was conducted for studies comparing the effects of intravenous thrombolysis (IVT) or endovascular treatment (EVT) in ischemic stroke patients with and without active cancer. The literature was screened using both a manual and machine learning algorithm approach. The outcomes evaluated were symptomatic intracerebral hemorrhage (sICH), all-type intracerebral hemorrhage (aICH), successful recanalization, favorable outcomes (modified Rankin Scale, 0–2), and mortality. We calculated the pooled odds ratio (OR) and 95% confidence interval (CI) using the random-effects model from the included studies. Results: Seven studies were analyzed in this meta-analysis. IVT (n = 1012) was associated with an increased risk of sICH (OR, 9.80; 95% CI, 3.19–30.13) in the active cancer group. However, no significant differences in aICH, favorable outcomes, and mortality were found between groups. Although sICH and successful recanalization in the EVT group (n = 2496) were similar, we observed fewer favorable outcomes (OR, 0.55; 95% CI, 0.33–0.93) and a high prevalence of mortality (OR, 2.91; 95% CI, 1.89–4.47) in the active cancer group. Conclusions: Reperfusion therapy may benefit selected patients with acute ischemic stroke with active cancer, considering the comparable clinical outcomes of IVT and procedure-related outcomes of EVT. These results should be cautiously interpreted and confirmed in future well-designed large-scale studies. © 2021 Elsevier Inc.

키워드

Cancer; Machine learning; Meta-analysis; Reperfusion; Stroke; alteplase; aged; Article; brain hemorrhage; brain ischemia; clinical outcome; controlled study; human; machine learning; malignant neoplasm; mechanical thrombectomy; meta analysis; mortality; patient safety; priority journal; Rankin scale; recanalization; reperfusion; systematic review
제목
Reperfusion Therapy in Acute Ischemic Stroke with Active Cancer: A Meta-Analysis Aided by Machine Learning
저자
Eun, M.-Y.; Jeon, E.-T.; Seo, K.-D.; Lee, D.; Jung, J.-M.
DOI
10.1016/j.jstrokecerebrovasdis.2021.105742
발행일
2021-06
유형
Article
저널명
Journal of Stroke and Cerebrovascular Diseases
권
30
호
6