| Literature DB >> 31205874 |
Maedeh Sharghi1, Hadis Musavi2, Shabnam Malekpour Mansurkhani3, Wesam Kooti4, Masoud Behzadifar5, Hadis Ashrafi-Zadeh6, Milad Azami7, Roonak Shahooei8, Hajar Kashefi1, Leila Jouybari9.
Abstract
BACKGROUND: Human cytomegalovirus (CMV) able to cause infection for an entire lifetime. This systematic review and meta-analysis was conducted to determine seroprevalence of CMV among women of reproductive age in Iran.Entities:
Keywords: Cytomegalovirus; Epidemiology; Iran; Meta-analysis; Pregnancy; Prevalence; Systematic review
Year: 2019 PMID: 31205874 PMCID: PMC6556175
Source DB: PubMed Journal: Iran J Public Health ISSN: 2251-6085 Impact factor: 1.429
Fig. 1:Flowchart describing the study design process
Fig. 2:The forest plot of overall prevalence of IgG among women of reproductive age in Iran
Fig. 2A:The forest plot of the sensitivity analysis based on overall prevalence of IgG
Fig. 2B:The forest plot of the cumulative meta-analysis based on overall prevalence of IgG
Characteristics of all eligible studies
| (n) | IgG | IgM | |||||
| 1 | Babol | 2016 | 141 | 0.9645 | _ | ELISA | ( |
| 2 | Gonabad | 2012 | 240 | 0.7208 | 0.25 | ELISA | (
|
| 3 | Jahrom | 2011 | 120 | 0.625 | _ | ELISA | (
|
| 4 | Kerman | 2007 | 397 | 0.9193 | 0.3375 | ELISA | (
|
| 5 | Rasht | 2014 | 40 | 1 | 0.175 | ELISA | (
|
| 6 | Rasht | 2013 | 360 | 0.7722 | 0.0138 | ELISA | (
|
| 7 | Tehran | 2012 | 100 | 1 | 0.03 | ELISA | (
|
| 8 | Tehran | 2015 | 98 | 0.9081 | 0.1224 | ELISA | (
|
| 9 | Yasoj | 2015 | 94 | 0.9893 | 0 | ELISA | (
|
| 10 | Khoramabad | 2011 | 240 | 0.9041 | _ | ELISA | (
|
| 11 | Tabriz | 2008 | 2049 | 0.8853 | 0.0003 | ELISA | (
|
| 12 | Tabriz | 2009 | 125 | 0.84 | 0.064 | ELISA | (
|
| 13 | Boshehr | 2014 | 180 | 0.95 | _ | ELISA | (
|
| 14 | Mashhad | 2014 | 225 | 1 | 0.0266 | ELISA | (
|
| 15 | Shiraz | 2008 | 844 | 0.9052 | 0.0533 | ELISA | (
|
Fig. 3:The forest plot of overall prevalence of IgM among women of reproductive age in Iran
Meta-regression result based on year and sample size of studies
| Year | 0.0110 | 0.0051 | 2.1510 | 0.0315 | 0.0010 | 0.0210 |
| Sample size | −0.0000 | 0.0000 | −0.8622 | 0.3886 | −0.0001 | 0.0000 |
| intercept | −0.0890 | 0.0187 | −4.7581 | <.0001 | −0.1257 | −0.0524 |
Subgroup analysis for comparison of IgG prevalence based on main related factors
| Quality of studies | ||||
| Good | 7 | 88% (82–94) | 95.1% | 0.0001 |
| Medium | 7 | 91% (86–95) | 98.2% | 0.0001 |
| Low | 1 | 95% (92–98) | NA | NA |
| Geographic regions | ||||
| North | 3 | 91% (80–100) | 96.8% | 0.0001 |
| South | 3 | 85% (77–94) | 94.2% | 0.0001 |
| West | 4 | 91% (85–97) | 96% | 0.0001 |
| East | 3 | 88% (79–99) | 97.9% | 0.0001 |
| Center | 2 | 96% (87–100) | 88.3% | 0.0034 |
| Type of study | ||||
| Case-control | 3 | 84% (71–100) | 96.1% | 0.0001 |
| Cohort | 1 | 91% (89–93) | NA | NA |
| Cross-sectional | 11 | 91% (87–95) | 97.4% | 0.0001 |
| Educational level | ||||
| Under Diploma | 4 | 66% (48–90) | 95.8% | 0.0001 |
| Diploma | 4 | 69% (55–86) | 90.7% | 0.0001 |
| Academic | 4 | 71% (56–89) | 78.5% | 0.0030 |
Fig. 4:Immunity to cytomegalovirus among women of reproductive age in different regions
Fig. 5:Egger’s regression test to detect publication bias based on overall prevalence of IgG