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Risk of stroke in cancer survivors using a propensity score-matched cohort analysis

Authors :
Eiko Saito
Manami Inoue
Norie Sawada
Yoshihiro Kokubo
Kazumasa Yamagishi
Hiroyasu Iso
Taichi Shimazu
Taiki Yamaji
Motoki Iwasaki
Shoichiro Tsugane
JPHC Study Group
Source :
Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021), Scientific Reports
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

Little is known about the risk of cerebrovascular disease in cancer survivors. We aimed to assess the association between incident cancer and the subsequent risk of stroke using a large-scale, population-based prospective study. 74,530 Japanese aged between 40 and 69 years at baseline study were matched by the status of cancer diagnosis during follow-up using propensity score nearest-neighbor matching with allowance for replacement. A total of 2242 strokes were reported during 557,885 person-years of follow-up. Associations between incident cancer and the subsequent risk of all strokes, cerebral infarction, and intracerebral hemorrhage were assessed using a Cox proportional hazards model stratified on the propensity score-matched pairs. No significant association was observed between the status of cancer diagnosis of all types, gastric, colorectal and lung cancer, and subsequent occurrence of all strokes, cerebral infarction, and intracerebral hemorrhage. However, analysis by discrete time periods suggested an elevated risk in cancer patients for one to three months after a cancer diagnosis in all stroke (HR, 2.24; 95% CI, 1.06, 4.74) and cerebral infarction (HR, 2.62; 95% CI, 1.05, 6.53). This prospective cohort study found no association between the status of cancer diagnosis and the subsequent occurrence of all strokes and its subtypes during the entire follow-up period but suggested an increase in stroke risk during the active phase of malignancy.

Details

ISSN :
20452322
Volume :
11
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....934456da643a96e67011017bdb27ed43