Electrocardiographic findings in patients with sickle cell disease: A protocol for systematic review and meta-analysis

被引:2
作者
Sadeghi, Alireza [1 ]
Taherifard, Ehsan [2 ]
Movahed, Hamed [2 ]
Ahmadkhani, Alireza [1 ,3 ]
Ebrahimi, Niloofar Dehdari [1 ,4 ]
Taherifard, Erfan [2 ]
机构
[1] Shiraz Univ Med Sci, Student Res Comm, Shiraz, Iran
[2] Shiraz Univ Med Sci, Hematol Res Ctr, Shiraz, Fars, Iran
[3] Shiraz Univ Med Sci, Dept Pathol, Shiraz, Iran
[4] Shiraz Univ Med Sci, Transplant Res Ctr, Shiraz, Iran
关键词
electrocardiography; meta-analysis; sickle cell disease; systematic review; LEFT-VENTRICULAR HYPERTROPHY; DEATH; COMPLICATIONS; MORTALITY; SURVIVAL; INTERVAL; FAILURE; HEART; RISK;
D O I
10.1002/hsr2.2212
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundDespite advancements in the management of patients with sickle cell disease (SCD), the involvement of the cardiovascular system in these patients remains a significant concern. Cardiovascular manifestations of SCD are well-documented, with electrocardiography (ECG) serving as a valuable diagnostic tool. Studies have reported a high rate of critical ECG findings in patients with SCD that warrants consideration when managing these patients, indicating the need for proactive cardiac screening and management strategies in this patient population. This study aims to systematically review the literature to identify sociodemographic, clinical, and paraclinical factors associated with ECG abnormalities in patients with SCD.MethodsA comprehensive search strategy will be employed across multiple online databases, including PubMed, Embase, Scopus, Web of Science, and Google Scholar, for published and gray literature. Eligible studies will include original articles reporting associations between sociodemographic, clinical, and paraclinical variables and a spectrum of ECG findings in patients with SCD. Independent reviewers will conduct the screening, quality assessment, and data extraction. Quantitative analyses will be performed under a random-effect model using Comprehensive Meta-Analysis software, with subgroup analyses based on SCD status, sickle hemoglobinopathy form, and age group.
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页数:4
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