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Abstract Details

Frequency and Predictors of Occult Cancer in Ischemic Stroke: A Systematic Review and Meta-Analysis
Cerebrovascular Disease and Interventional Neurology
P10 - Poster Session 10 (5:30 PM-6:30 PM)
4-008

Determine the frequency and predictors of newly diagnosed cancer after an ischemic stroke (IS).

Despite the growing interest for cancer-associated strokes and suggestions of diagnostic approaches to occult cancer in patients with IS, the frequency and predictors of cancer after an IS remain unclear.

We searched eight electronic databases (including MEDLINE and EMBASE) in all languages from January 1980 to February 2019, and screened four major stroke conference proceedings. We included studies reporting data on measures of frequency, association or predictors of any malignant tumor (solid or hematological) or myeloproliferative neoplasm diagnosed after an IS, according to our published protocol (PROSPERO ID: CRD42019132455). We pooled data using random-effects model, and used Q-tests to assess for heterogeneity between subgroups.

We screened 15,400 records to include 49 in the review and 30 in the meta-analysis of frequency. The pooled cumulative incidence of cancer within 1 year after an IS was 12.3 per thousand (95% confidence interval [CI], 4.6 to 23.4). This frequency was higher in studies reporting non-neurological imaging in all subjects (41.3 per thousand; 95%CI, 9.7 to 91.8 versus 7.2 per thousand; 95%CI, 2.5 to 14.1; p=0.03) and those with cryptogenic strokes only (62.0 per thousand; 95%CI, 13.6 to 139.3 versus 8.2 per thousand; 95%CI, 3.4 to 15.0; p=0.02). The frequency of cancer appeared higher after an IS compared to controls, and most cancers were diagnosed within the first few months after the IS. We identified 22 predictors of cancer that included markers of hypercoagulability and inflammation such as higher D-dimer, C-reactive protein and fibrinogen levels.

The frequency of newly diagnosed cancer after an IS is low, but higher in cryptogenic strokes and with non-neurological imaging. Several predictors may be used to identify patients with a higher risk of cancer.

Authors/Disclosures
Bastien Rioux, MD (Université de Montréal)
PRESENTER
Dr. Rioux has nothing to disclose.
Lahoud Touma, MD (Stanford Healthcare) Dr. Touma has nothing to disclose.
Ahmad Nehme, MD (CHUM) No disclosure on file
No disclosure on file
Laura C. Gioia, MD (Notre-Dame Hospital) Dr. Gioia has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Servier Inc.
Mark R. Keezer, MD, PhD (Centre Hospitalier Universite de Montreal) The institution of Dr. Keezer has received research support from TD Bank. The institution of Dr. Keezer has received research support from Savoy Foundation. The institution of Dr. Keezer has received research support from Canadian Institutes of Health Research. The institution of Dr. Keezer has received research support from Fonds de Recherche Québec Santé. The institution of Dr. Keezer has received research support from Canadian Institutes of Health Research. The institution of Dr. Keezer has received research support from Precision Child Health Partnership Catalyst Program.