| Literature DB >> 35096871 |
Mohammad Hossein Razizadeh1, Alireza Khatami1, Mohammad Zarei2,3.
Abstract
Background: Bufavirus (BuV), Human Cosavirus (HCoSV), and Saffold (SAFV) virus are three newly discovered viruses and have been suggested as possible causes of gastroenteritis (GE) in some studies. The aim of the present study was to estimate the overall prevalence of viruses and their association with GE.Entities:
Keywords: Bufavirus; Cosavirus; Saffold virus; gastroenteritis; meta-analysis
Year: 2022 PMID: 35096871 PMCID: PMC8792846 DOI: 10.3389/fmed.2021.775698
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1Flow diagram of the literature search for studies included in the meta-analysis. *Including manual search and library records.
The general characterization of Bufavirus studies.
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| Phan et al. ( | Cross-sectional | Burkina Faso | Africa | 2012 | 98 | 4 | NS1 | Nested RT-PCR | 3 | 1 | ||
| Phan et al. ( | Cross-sectional | Tunisia | Africa | 2012 | 100 | 0 | NS1 | Nested RT-PCR | ||||
| Smits et al. ( | Cross-sectional | Netherlands | Europe | 2014 | 27 | 1 | NS1 | Real-time RT-PCR | 1 | |||
| Vaisanen et al. ( | Cross-sectional | Finland | Europe | 2014 | 629 | 7 | VP2 | Real-time RT-PCR | 7 | |||
| Yahiro et al. ( | Cross-sectional | Bhutan | Asia | 2014 | 393 | 3 | NS1 | Nested RT-PCR | 3 | |||
| Huang et al. ( | Cross-sectional | China | Asia | 2015 | 1877 | 9 | NS1 | Real-time RT-PCR | 4 | 5 | ||
| Altay et al. ( | Case-control | Turkey | Europe | 2015 | 583 | 8 | RT-PCR | 8 | ||||
| Chieochansin et al. ( | Cohort | Thailand | Asia | 2015 | 1414 | 1 | NS1 | Nested RT-PCR | 1 | |||
| Chieochansin et al. ( | Cohort | Thailand | Asia | 2015 | 81 | 3 | NS1 | Nested RT-PCR | 3 | |||
| Ayouni et al. ( | Cohort | Tunisia | Africa | 2016 | 203 | 2 | NS1 | Nested RT-PCR | 2 | |||
| Vaisanen et al. ( | Cohort | Finland | Europe | 2016 | 410 | 3 | NS1 | Real-time RT-PCR | 3 | |||
| Mohammad et al. ( | Cross-sectional | Kuwait | Asia | 2020 | 84 | 1 | Multiplex RT-PCR | 1 | ||||
| Dapra et al. ( | Cohort | Italy | Europe | 2021 | 160 | 0 | Real-time RT-PCR | |||||
| Mohanraj et al. ( | Cohort | Finland | Europe | 2021 | 243 | 4 | NS1 | Multiplex real-time qPCR | 4 | |||
| Mohanraj et al. ( | Cohort | Finland | Europe | 2021 | 386 | 3 | NS1 | Multiplex real-time qPCR | 3 | |||
| Mohanraj et al. ( | Cohort | Finland | Europe | 2021 | 955 | 3 | NS1 | Multiplex real-time qPCR | 3 | |||
| Mohanraj et al. ( | Cohort | Latvia | Europe | 2021 | 115 | 0 | NS1 | Multiplex real-time qPCR | 0 | |||
| Mohanraj et al. ( | Cohort | Malawi | Africa | 2021 | 164 | 1 | NS1 | Multiplex real-time qPCR | 1 |
The general characterization of Cosavirus studies.
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| Nielsen et al. ( | Cohort | 2013 | Denmark | Europe | 386 | 0 |
| Stocker et al. ( | Case-control | 2012 | Brazil | America | 359 | 13 |
| Vizzi et al. ( | Case-control | 2021 | Venezuela | America | 82 | 5 |
| Yu et al. ( | Case-control | 2017 | China | Asia | 461 | 8 |
| Ayouni et al. ( | Cross-sectional | 2016 | Tunisia | Africa | 203 | 2 |
| Dapra et al. ( | Cross-sectional | 2018 | Italy | Europe | 164 | 0 |
| Dapra et al. ( | Cross-sectional | 2021 | Italy | Europe | 160 | 0 |
| Khamrin et al. ( | Cross-sectional | 2012 | Thailand | Asia | 300 | 1 |
| Khamrin et al. ( | Cross-sectional | 2014 | Thailand | Asia | 411 | 1 |
| Kim et al. ( | Cross-sectional | 2020 | South Korea | Asia | 801 | 0 |
| Menage et al. ( | Cross-sectional | 2017 | Thailand | Asia | 1,093 | 16 |
| Mohammad et al. ( | Cross-sectional | 2020 | Kuwait | Asia | 84 | 1 |
| Okitsu et al. ( | Cross-sectional | 2014 | Japan | Asia | 630 | 1 |
| Rovida et al. ( | Cross-sectional | 2013 | Italy | Europe | 689 | 1 |
| Thongprachum et al. ( | Cross-sectional | 2017 | Japan | Asia | 751 | 1 |
| Kochjan et al. ( | Cross-sectional | 2016 | Thailand | Asia | 21 | 1 |
Figure 2Forest plot of the pooled prevalence for BuV.
The Bufavirus prevalence based on subgroups and studies heterogeneity.
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| Overall | – | 18 | 1.0 (0.6–1.5) | 35.005 | 0.006 | 51.435 |
| Continent | Africa | 4 | 1.4 (0.5–4.1) | 5.486 | 0.139 | 45.319 |
| Asia | 5 | 0.7 (0.2–2.1) | 15.201 | 0.004 | 73.685 | |
| Europe | 9 | 1.0 (0.7–1.4) | 9.203 | 0.325 | 13.071 | |
| Method | Nested RT-PCR | 5 | 1.1 (0.4–3.1) | 18.311 | 0.003 | 72.694 |
| Real-time RT-PCR | 5 | 0.8 (0.4–1.4) | 5.853 | 0.210 | 31.660 | |
| multiplex real-time qPCR | 5 | 0.7 (0.4–1.4) | 4.975 | 0.290 | 19.599 | |
| Genotype | BuV1 | 6 | 1.0 (0.3–3.4) | 27.351 | 0.000 | 81.719 |
| BuV2 | 1 | 1.0 (0.1–6.9) | 0.000 | 1.000 | 0.000 | |
| BuV3 | 4 | 0.7 (0.3–1.7) | 8.548 | 0.036 | 0.501 | |
| Co–infection | NoV | 6 | 0.3 (0.1–0.5) | 4.103 | 0.535 | 0.000 |
| HBoV | 2 | 0.3 (0.1–0.9) | 0.078 | 0.780 | 0.000 | |
| RoV | 2 | 0.6 (0.2–2.2) | 1.307 | 0.253 | 23.480 | |
| AdV | 1 | 1.0 (0.2–3.9) | 0.000 | 1000 | 0.000 | |
| Age | Under 5 | 5 | 1.4 (0.6–2.9) | 7.381 | 0.117 | 45.804 |
| Over 5 | 2 | 3.7 (1.4–9.5) | 0.000 | 1.000 | 0.000 | |
| Sex | Male | 4 | 0.9 (0.2–4.4) | 12.447 | 0.006 | 75.898 |
| Female | 4 | 0.6 (0.2–1.8) | 4.279 | 0.233 | 29.883 | |
Figure 3Forest plot of odds ratios for the BuV based on case-control studies.
Figure 4Forest plot of the pooled prevalence for SAFV.
The Saffold virus prevalence based on subgroups and studies heterogeneity.
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| Overall | – | 18 | 1.9 (1.1–3.1) | 174.465 | 0.000 | 90.256 |
| Continent | Asia | 15 | 1.7 (0.9–3.1) | 165.693 | 0.000 | 91.553 |
| Europe | 3 | 2.9 (1.2–6.5) | 5.965 | 0.051 | 66.471 | |
| Genotype | SAFV-1 | 5 | 0.9 (0.3–2.6) | 25.159 | 0.000 | 84.101 |
| SAFV-2 | 7 | 1.0 (0.5–1.9) | 23.800 | 0.001 | 74.790 | |
| SAFV-3 | 6 | 0.6 (0.2–1.5) | 23.853 | 0.000 | 79.038 | |
| SAFV-4 | 1 | 0.2 (0.0–1.2) | 0.000 | 1.000 | 0.000 | |
| SAFV-6 | 1 | 0.5 (0.2–1.2) | 0.000 | 1.000 | 0.000 | |
| Co-infection | NoV | 6 | 0.6 (0.3–1.0) | 8.635 | 0.125 | 42.097 |
| HBoV | 2 | 0.4 (0.1–1.5) | 1.457 | 0.227 | 31.352 | |
| RoV | 8 | 0.4 (0.2–0.9) | 19.395 | 0.007 | 63.909 | |
| AdV | 4 | 0.2 (0.1–0.5) | 2.624 | 0.453 | 0.000 | |
| Method | Multiplex RT-PCR | 2 | 0.3 (0.0–1.9) | 2.052 | 0.152 | 51.263 |
| Nested RT-PCR | 7 | 2.3 (1.5–3.5) | 14.417 | 0.025 | 58.383 | |
| RT-PCR | 2 | 10.9 (4.6–24.) | 6.505 | 0.011 | 84.627 | |
| Age | Under 5 | 8 | 1.6 (0.5–4.5) | 70.138 | 0.000 | 90.020 |
| Over 5 | 3 | 2.4 (0.6–0.9) | 4.183 | 0.124 | 52.184 | |
| Sex | Male | 2 | 0.3 (0.0–2.2) | 0.984 | 0.321 | 0.000 |
| Female | 2 | 0.9 (0.0–19.7) | 3.846 | 0.050 | 73.999 | |
Figure 5Forest plot of odds ratios for the SAFV based on case-control studies.
Figure 6Forest plot of the pooled prevalence for HCosV.
The Cosavirus prevalence based on subgroups and studies heterogeneity.
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| Overall | – | 16 | 0.8 (0.4–1.5) | 28.29 | 0.000 | 92.932 |
| WHO regions | Africa | 1 | 1.0 (0.2–3.9) | 0.000 | 1.000 | 0.000 |
| America | 2 | 4.2 (2.6–6.6) | 1.022 | 0.312 | 2.185 | |
| Asia | 9 | 0.7 (0.3–1.4) | 21.240 | 0.007 | 62.335 | |
| Europe | 4 | 0.2 (0.1–0.7) | 0.377 | 0.945 | 0.000 | |
| Genotype | HCoSV-A | 3 | 0.5 (0.1–2.1) | 6.292 | 0.043 | 68.213 |
| HCoSV-C | 1 | 0.1 (0.0–0.6) | 0.000 | 1.000 | 0.000 | |
| HCoSV-D | 2 | 0.2 (0.0–0.7) | 0.837 | 0.360 | 0.000 | |
| Co-infection | NoV | 2 | 0.2 (0.0–1.1) | 1.420 | 0.233 | 29.561 |
| EV | 3 | 0.7 (0.1–3.3) | 5.932 | 0.052 | 66.286 | |
| RoV | 3 | 0.4 (0.2–0.8) | 1.384 | 0.500 | 0.000 | |
| AdV | 5 | 0.6 (0.1–2.1) | 9.329 | 0.053 | 57.122 | |
| Age | <5 | 10 | 0.5 (0.2–1.1) | 21.031 | 0.013 | 57.207 |
| <15 | 7 | 1.2 (0.5–2.9) | 18.564 | 0.005 | 67.680 | |
| >15 | 2 | 0.4 (0.1–1.8) | 0.319 | 0.517 | 0.000 | |
Figure 7Forest plot of odds ratios for the HCosV based on case-control studies.
Figure 8Funnel plot for publication bias assessment in BuV (A), SAFV (B), and CosV (C).
The general characterization of Saffold virus studies.
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| Ren et al. ( | Cross-sectional | China | Asia | 2009 | 373 | 12 | 5′ UTR | Nested RT-PCR | 12 | ||||
| Khamrin et al. ( | Cross-sectional | Thailand | Asia | 2011 | 150 | 4 | 5′ UTR | Nested RT-PCR | 4 | ||||
| Dai et al. ( | Case-control | China | Asia | 2011 | 577 | 6 | 5′ UTR | Nested RT-PCR | 3 | ||||
| Zhang et al. ( | Cohort | China | Asia | 2012 | 2,013 | 12 | 5′ UTR | Real-time RT-PCR | 4 | 5 | |||
| Khamrin et al. ( | Cross-sectional | Japan | Asia | 2013 | 454 | 7 | 5′ UTR | Nested RT-PCR | 5 | 2 | |||
| Nielsen et al. ( | Cohort | Denmark | Europe | 2013 | 386 | 10 | VP1 | Real-time RT-PCR | 10 | ||||
| Yodmeeklin et al. ( | Cross-sectional | Thailand | Asia | 2015 | 608 | 9 | 5′ UTR | Nested RT-PCR | 1 | 5 | 2 | 1 | |
| Thongprachum et al. ( | Cross-sectional | Japan | Asia | 2017 | 751 | 4 | 5′ UTR | Multiplex RT-PCR | |||||
| Kumthip et al. ( | Cross-sectional | Thailand | Asia | 2017 | 73 | 1 | 5′ UTR | Nested RT-PCR | |||||
| Menage et al. ( | Cross-sectional | Thailand | Asia | 2017 | 1,093 | 18 | 5′ UTR | Nested RT-PCR | 3 | 9 | 6 | ||
| Li et al. ( | Case-control | China | Asia | 2017 | 461 | 7 | VP1 | Nested RT-PCR | 3 | 4 | |||
| Dapra et al. ( | Cross-sectional | Italy | Europe | 2018 | 164 | 1 | NR | ||||||
| Malasao et al. ( | Cross-sectional | Thailand | Asia | 2019 | 2,002 | 30 | NR | ||||||
| Kim et al. ( | Cross-sectional | South Korea | Asia | 2020 | 801 | 0 | Multiplex RT-PCR | ||||||
| Mohammad et al. ( | Cross-sectional | Kuwait | Asia | 2020 | 84 | 1 | Metagenomics sequencing | ||||||
| Vandesande et al. ( | Cohort | Sweden | Europe | 2021 | 209 | 11 | 5′ UTR | Semi-nested RT-PCR | 1 | ||||
| Yaghobi et al. ( | Cross-sectional | Iran | Asia | 2020 | 160 | 26 | 5′ UTR | RT-PCR | |||||
| Taghinejad et al. ( | Cross-sectional | Iran | Asia | 2020 | 160 | 11 | RT-PCR |
NR, Not reported.