| Literature DB >> 31533643 |
Huai Wang1, Peixuan Men2, Yufeng Xiao2, Pei Gao1, Min Lv1, Qianli Yuan1, Weixin Chen1, Shuang Bai1, Jiang Wu3.
Abstract
BACKGROUND: Hepatitis B virus (HBV) infection is a major public health problem in China. Over a decade has passed since the last National Hepatitis Seroepidemiological Survey was conducted in 2006. The lack of updated data on hepatitis B in China makes assessing the current prevalence and burden of the disease inadequate. In response to the above situation, a systematic review and meta-analysis was conducted to provide a better understanding of hepatitis B epidemiology in the general population of China.Entities:
Keywords: China; Hepatitis B; Meta-analysis; Prevalence
Mesh:
Substances:
Year: 2019 PMID: 31533643 PMCID: PMC6751646 DOI: 10.1186/s12879-019-4428-y
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Fig. 1Flow diagram of study selection
Characteristics of the studies included in the meta-analysis
| Author, Year | Year of Publication | Study | Province or City | Age group | Sample Size(N) | HBsAg Positive(n) | Method | Quality Grade |
|---|---|---|---|---|---|---|---|---|
| Min DY et al. [ | 2016 | Cross-sectional | Gui Zhou province | ≥16 | 1629 | 136 | TRFIA | 4 |
| Xia W et al. [ | 2015 | Cross-sectional | Hu Nan province | 1–59 | 9536 | 498 | ELISA | 4 |
| Cai HL et al. [ | 2017 | Cross-sectional | Ning Xia province | 55–79 | 6582 | 919 | ELISA | 4 |
| Bai S et al. [ | 2017 | Cross-sectional | Tibet province | ≥1 | 904 | 181 | Colloidal Gold | 4 |
| Wang FZ et al. [ | 2017 | Cross-sectional | 31 provinces | 1–29 | 19,583 | 517 | ELISA | 5 |
| Chen YH et al. [ | 2017 | Cross-sectional | Quan Zhou City | 1–59 | 5473 | 370 | ELISA | 5 |
| Gao P et al. [ | 2016 | Cross-sectional | Beijing City | ≥1 | 6705 | 184 | CMIA | 6 |
| Su FY et al. [ | 2015 | Cross-sectional | Jiang Yin City | ≥1 | 13,837 | 695 | ELISA | 4 |
| Yang BF et al. [ | 2013 | Cross-sectional | Hu Bei province | 1–59 | 9955 | 676 | ELISA | 7 |
| Liu J et al. [ | 2014 | Cross-sectional | ChongQing City | 20–59 | 21,424 | 1718 | ELISA | 5 |
| Ren H et al. [ | 2013 | Cross-sectional | Shang Hai City | > 0 | 2835 | 172 | ELISA | 4 |
| Cheng JQ et al. [ | 2013 | Cross-sectional | Shen Zhen City | 1–59 | 3771 | 252 | ELISA | 4 |
| He HY et al. [ | 2014 | Cross-sectional | Tian Jin City | 1–59 | 2594 | 68 | ELISA | 5 |
| Guo YH et al. [ | 2017 | Cross-sectional | He Nan province | 18–74 | 16,685 | 642 | ELISA | 6 |
| Liu J et al. [ | 2017 | Cross-sectional | 31 provinces | 21–49 | 1,936,801 | 202,816 | ELISA | 5 |
| Liu JY et al. [ | 2017 | Cross-sectional | Shan Dong province | 1–59 | 5528 | 187 | ELISA | 6 |
| Yang SG et al. [ | 2017 | Cross-sectional | Zhe Jiang province | 0–81 | 16,601 | 670 | CMIA | 6 |
| Chen P et al. [ | 2017 | Cross-sectional | Zhe Jiang province | > 0 | 9855 | 1056 | ELISA | 8 |
| Zeng FF et al. [ | 2016 | Cross-sectional | Guang Dong province | > 0 | 169,211 | 14,823 | ELISA | 7 |
| Xin XN et al. [ | 2016 | Cross-sectional | 31 provinces | 20–49 | 764,460 | 44,057 | ELISA | 5 |
| Liu J et al. [ | 2016 | Cross-sectional | 31 provinces | 21–49 | 1,966,013 | 124,274 | ELISA | 4 |
| Zhang Q et al. [ | 2016 | Cross-sectional | Ji Lin province | ≥1 | 227,808 | 13,979 | ELISA | 6 |
| Guo YH et al. [ | 2015 | Cross-sectional | He Nan province | 1–14 | 13,207 | 98 | ELISA | 5 |
| Huang P et al. [ | 2015 | Cross-sectional | Jiang Su province | > 0 | 148,931 | 11,469 | ELISA | 5 |
| Ji ZH et al. [ | 2014 | Cross-sectional | Gan Su province | 1–59 | 28,044 | 2019 | ELISA | 5 |
| Liao XY et al. [ | 2014 | Cross-sectional | Guang Xi province | 17–27 | 2040 | 258 | CMIA | 4 |
| Zhang Y et al. [ | 2013 | Cross-sectional | Hai Nan province | 15–49 | 12,393 | 1179 | ELISA | 4 |
Fig. 2Forest plot of HBV infection prevalence rate in the general Chinese population from 2013 to 2017
Fig. 3Bias assessment funnel plot of studies reporting HBV prevalence in China from 2013 to 2017
Sub-group meta-analysis of studies reporting HBV prevalence in China from 2013 to 2017
| Sub-group | Numbers of Study | Prevalence (%) | 95% CI | Heterogeneous | Egger’s test P-value* | |
|---|---|---|---|---|---|---|
| Region | ||||||
| Eastern | 16 | 6.16 | 5.25–7.22 | 99.9 | 0.14 | |
| Middle | 7 | 5.23 | 3.11–7.34 | 100.0 | – | |
| Western | 9 | 8.92 | 7.19–10.64 | 99.9 | – | |
| Sex | ||||||
| Male | 21 | 5.88 | 5.53–6.24 | 99.1 | 0.90 | |
| Female | 22 | 5.05 | 4.56–5.88 | 99.6 | 0.51 | |
| Age | ||||||
| 0–4 | 8 | 0.51 | 0.33–0.74 | 50.6 | 0.048 | – |
| 5–9 | 6 | 2.08 | 1.05–3.46 | 90.2 | – | |
| 10–14 | 6 | 1.58 | 0.69–2.77 | 89.8 | – | |
| 15–19 | 6 | 3.98 | 1.42–6.54 | 96.9 | – | |
| 20–29 | 12 | 7.07 | 5.62–8.67 | 99.9 | 0.77 | |
| 30–39 | 12 | 7.43 | 6.11–9.04 | 99.9 | 0.72 | |
| 40–49 | 11 | 7.08 | 5.72–8.77 | 99.2 | 0.91 | |
| 50–59 | 6 | 7.08 | 5.19–9.65 | 93.2 | – | |
| ≥ 60 | 3 | 7.39 | 4.20–10.59 | 96.7 | – | |
| Urban/Rural | ||||||
| Urban | 10 | 3.29 | 2.32–4.41 | 98.2 | 0.52 | |
| Rural | 16 | 5.86 | 4.93–6.96 | 100.0 | 0.45 | |
*: When the sample size is less than 10 articles, it is not possible to do Egger’s test
Fig. 4Estimated HBsAg prevalence and extrapolation of the number of people living with HBV in the general population of China according to age in 2018