ArticleThoracic cancer2022
Short-term outcomes in patients with lung cancer-associated acute ischemic stroke.
Article in Thoracic cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Clinical features and prognosis of patients with malignant tumors complicated by cerebral infarction.American journal of cancer research · 2026Article
- Tissue factor activity and 1-year mortality in patients with active cancer and acute ischemic stroke: findings from the SCAN study.Research and practice in thrombosis and haemostasis · 2026Article
- Short-term outcomes in patients with lung cancer-associated acute ischemic stroke.Thoracic cancer · 2022Article
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9 authors.
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Abstract
backgroundTo investigate the independent risk factors of poor short-term outcomes in patients with lung cancer-associated acute ischemic stroke (LCAIS) and use them to develop an index of prognosis LCAIS (pLCAIS) which could help clinicians identify patients at high risk for poor short-term outcomes.
methodsWe retrospectively enrolled patients with lung cancer-associated acute ischemic stroke and employed the 90D modified Rankin cale (mRS) to divide them into two groups: good outcomes (score 0-2) and poor outcomes (score 3-6). Propensity score matching (PSM) was used to remove confounding factors, and multivariable logistic regression analysis was used to analyze the independent risk factors of pLCAIS. The receiver operating characteristic (ROC) and area under the ROC curve (AUC) developed a multiple model combining the independent risk factors of pLCAIS.
resultsA total of 172 patients were included: 67 (38.9%) with good outcomes and 105 (61.1%) with poor outcomes. After using PSM, there were 33 cases in each group. The results showed that patients with poor short-term outcomes were significantly higher in D-dimer (OR = 1.001, 95% CI: 1.000-1.002, p = 0.048), CRP (OR = 1.078, 95% CI: 1.008-1.153, p = 0.028), and neutrophil count (OR = 14.673, 95% CI: 1.802-19.500, p = 0.012). The ROC curve, used to assess the diagnostic ability of binary classifiers, showed that the product of these three independent risk factors showed high sensitivity and specificity.
conclusionIn this study, we have identified three independent risk factors associated with poor short-term outcomes in pLCAIS: higher NC, CRP, and D-dimer levels. These findings may be helpful for clinicians in identifying poor short-term outcomes patients.
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