| Literature DB >> 31737133 |
Chunyang Huang1,2, Weijia Han1,3, Chuanmin Wang4, Yanmin Liu1,2, Yue Chen4, Zhongping Duan1,3.
Abstract
BACKGROUND: The prevalence of primary biliary cholangitis (PBC), which is an autoimmune liver disease, has increased over time. PBC often leads to severe consequences, such as liver failure and death. Stratification tools using biochemical liver tests are needed to assess and predict the progression of this disease at the time of PBC diagnosis.Entities:
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Year: 2019 PMID: 31737133 PMCID: PMC6815635 DOI: 10.1155/2019/9121207
Source DB: PubMed Journal: Dis Markers ISSN: 0278-0240 Impact factor: 3.434
Figure 1Flow diagram of study selection.
The main characteristics of the included studies.
| Author and year | Age | Female | Numbers of patients | Numbers of patients suffered from poor prognosis or death | Level of ALT (U/L), ALP (U/L), TBIL (mg/dl), and IgM (mg/dl) | Treatment period (months) | Race |
|---|---|---|---|---|---|---|---|
| Itoh S. et al., 1998 [ | 51.5 ± 10.9 vs. 52.7 ± 10.2 | 12/101 | 25/88 | Other types of poor prognosis: 11/16 | ALT: 91.5 ± 73.8/88.3 ± 101.8 | 80.9 ± 52.9/80.9 ± 52.9 | Japan |
| Nakamura M. et al., 2005 [ | 57.6 ± 12.6 vs. 58.8 ± 10.3 | 9/63 | 23/48 | Liver failure type: 6/2 | ALT: 94.1 ± 97/63.5 ± 45.1 | 83.7 ± 60.5/65.5 ± 50.1 | Japan |
| Nakamura M. et al., 2007 [ | 57.5 ± 9.3 | 20/197 | 43/174 | Other types of poor prognosis: 6/10 | Na | 75.9 ± 59.9/75.9 ± 59.9 | Japan |
| Yang J. et al., 2009 [ | 57.08 ± 7.97 vs. 54.86 ± 14 | 17/43 | 15/45 | Na | ALT: 223.92 ± 207.43/273.08 ± 212.52 | Na | China |
| Yang F. et al., 2017 [ | 50 ± 10 | 23/253 | 133/143 | Other types of poor prognosis: 26/11 | Na | 36 ± 16/36 ± 16 | China |
The US Agency for Healthcare Research and Quality checklist for quality assessment of one-arm research.
| Author and year | Is the case definition adequate? | Representativeness of the cases? | Selection of controls | Definition of controls | Comparability of cases and controls on the basis of the design or analysis | Ascertainment of exposure | Same method of ascertainment for cases and controls | Nonresponse rate |
|---|---|---|---|---|---|---|---|---|
| Itoh S. et al., 1998 | Yes | Yes | Hospital controls | No description | Yes | No blind status | Yes | No description |
| Nakamura M. et al., 2005 | Yes | Yes | Hospital controls | No description | Yes | No blind status | Yes | No description |
| Nakamura M. et al., 2007 | Yes | Yes | Hospital controls | No description | Yes | No blind status | Yes | No description |
| Yang J. et al., 2009 | Yes | Yes | Hospital controls | No description | Yes | No blind status | Yes | No description |
| Yang F. et al., 2017 | Yes | Yes | Hospital controls | No description | Yes | No blind status | Yes | No description |
Figure 2Meta-analysis of relationship between Gp210 antibody-positive rate and poor prognosis. (a) Comparisons of the incidence of poor prognosis between the Gp210 antibody (+) group and the Gp210 antibody (-) group. (b) Subgroup analysis of the incidence of different types of PBC progression.
Figure 3Sensitivity test for forest analysis. (a) Sensitivity analysis for Figure 2(a); (b) Sensitivity analysis for Figure 2(b); (c) Sensitivity analysis for Figure 5.
Figure 4Begg's test for forest analysis. (a) Begg's test for Figure 2(a); (b) Begg's test for Figure 2(b); (c) Begg's test for Figure 5.
Figure 5Meta-analysis of relationship between Gp210 antibody-positive rate and incidence of mortality.
Figure 6Meta-analysis of relationship between Gp210 antibody-positive rate and liver function indicators. (a) TBIL; (b) ALT; (c) ALP; (d) IgM.
Figure 7Meta-analysis of relationship between Gp210 antibody-positive rate and age or sex. (a) age; (b) sex.
Figure 8Roles of Gp210 antibodies in PBC.