| Literature DB >> 34150339 |
Sandip Kuikel1, Robin Rauniyar1, Sanjeev Kharel1, Anil Bist1, Subarna Giri1, Sahil Thapaliya1, Sunanda Paudel2.
Abstract
Sickle cell anemia (SCA) is an inherited autosomal recessive disease. It is caused due to point mutation that substitutes glutamate with valine at the sixth amino acid position of the beta chain of hemoglobin molecules leading to the sickling of the red blood cells and decreased structural deformability. Silent cerebral infarcts are the most common neurological complication of SCA, while overt stroke comprises substantial burden in patients with SCA. This meta-analysis aimed to find the pooled prevalence of overt stroke in SCA patients and discuss the importance of screening them. PubMed, Embase, and Google Scholar were the electronic databases used to search the studies. A total of 765 articles were retrieved upon detailed searching in the abovementioned databases. After a series of removing duplicate articles, title and abstract screening, and full-text review, 20 articles were found eligible and included in the study. The total number of participants from all the included studies was 3,956, and pooled prevalence of stroke in patients with sickle cell anemia in Asia was found to be 5% (95% CI: 4%, 6%) with a range from 1 to 41%. Stroke occurrence in sickle cell anemia patients is an emergency complication that needs immediate intervention and management. Because of the high prevalence of stroke in patients with sickle cell anemia, clinicians should focus on its prevention and treatment strategies.Entities:
Year: 2021 PMID: 34150339 PMCID: PMC8195673 DOI: 10.1155/2021/9961610
Source DB: PubMed Journal: Neurol Res Int ISSN: 2090-1860
Figure 1PRISMA flow diagram showing the study retrieval process.
Study characteristic table.
| Author | Year | Nation | Study design | No. of participants | Mean age (years) | Male | Female |
|---|---|---|---|---|---|---|---|
| Gujjar et al. [ | 2013 | Oman | Cross-sectional | 59 | 13.9 ± 9.5 | 30 | 29 |
| Acipayam et al. [ | 2015 | Turkey | Cross-sectional | 20 | 21.4 ± 15 | 8 | 12 |
| Adekile et al. [ | 2019 | Kuwait | Cross-sectional | 396 | 19.2 ± 15.6 | 206 | 190 |
| Akar and Adekile [ | 2008 | Kuwait | Cross-sectional | 50 | 8.7 ± 2.8 | 30 | 20 |
| Al-Ghazaly et al. [ | 2013 | Yemen | Cross-sectional | 252 | 12.8 + −9.5 | 136 | 105 |
| Al-Saqladi et al. [ | 2007 | Yemen | Cross-sectional | 102 | 7.2 | 56 | 46 |
| Hanafy et al. [ | 2018 | Saudi Arabia | Cross-sectional | 237 | 7.87 ± 3.96 | 134 | 103 |
| Inati et al. [ | 2007 | Lebanon | Cross-sectional | 387 | 17.9 | 213 | 174 |
| Alsultan et al. [ | 2012 | Saudi Arabia | Cross-sectional | 159 | 17.8 ± 11.9 | 77 | 82 |
| Alsultan et al. [ | 2017 | Saudi Arabia | Cross-sectional | 376 | 20 | 196 | 180 |
| Alsultan et al. [ | 2014 | Saudi Arabia | Cross-sectional | 104 | 38.0 ± 13.3 | 47 | 57 |
| Alsultan et al. [ | 2018 | Saudi Arabia | Cross-sectional | 22 | 28 + 10.8 | 8 | 14 |
| Al-Saqladi et al. [ | 2020 | Yemen | Cross-sectional | 217 | 6.9 ± 4.6 | 103 | 66 |
| Celik et al. [ | 2015 | Turkey | Cross-sectional | 238 | 11.18 ± 4.35 | 120 | 118 |
| Rafique et al. [ | 2015 | Pakistan | Cross-sectional | 175 | N/A | 85 | 90 |
| Haq et al. [ | 2019 | Pakistan | Cross-sectional | 105 | 5.90 + 3.96 | 54 | 51 |
| Inati et al. [ | 2019 | Lebanon | Cross-sectional | 335 | 2.9 + −4.5 | N/A | N/A |
| Helvaci et al. [ | 2013 | Turkey | Cross-sectional | 269 | N/A | 132 | 137 |
| Nimgaonkar et al. [ | 2014 | India | Cross-sectional | 137 | 14 | N/A | N/A |
| Jain et al. [ | 2010 | India | Cross-sectional | 316 | 3.84 | 194 | 122 |
N/A = not available.
Figure 2Forest plot showing the pooled prevalence of included studies.
Subgroup analysis.
| Subgroups | Total number of studies | Effect size | 95% CI | I2 (%) |
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|---|---|---|---|---|---|
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| <200 | 10 | 0.067 | 0.035–0.099 | 83.10 | 0.0001 |
| >200 | 10 | 0.046 | 0.028–0.064 | 85 | 0 |
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| Saudi Arabia | 5 | 0.05 | 0.031–0.070 | 35.98 | 0 |
| Turkey | 3 | 0.089 | 0.021–0.157 | 82.14 | 0.0098 |
| Yemen | 3 | 0.04 | 0.020–0.060 | 29.81 | 0.0001 |
| Lebanon | 2 | 0.033 | 0.020–0.046 | 0 | 0 |
| Pakistan | 2 | 0.086 | 0.035–0.207 | 90.94 | 0.163 |
| India | 2 | 0.029 | 0.016–0.075 | 90.10 | 0.2057 |
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| Before 2015 | 10 | 0.043 | 0.026–0.059 | 70.15 | 0 |
| 2015–2020 | 10 | 0.068 | 0.031–0.104 | 94.04 | 0.0003 |
Figure 3Funnel plot showing the publication bias.