Number 4 reveals the results from sensitivity analysis, which suggested that the overall ORs were not substantially influenced by any individual study

Number 4 reveals the results from sensitivity analysis, which suggested that the overall ORs were not substantially influenced by any individual study. Caucasian and non-Caucasian populations. However, no statistically significant correlations between polymorphism and the risk of ITP were observed among Caucasians and non-Caucasians (all polymorphism may contribute to the improved risk of ITP, whereas polymorphism may not be an important risk element for ITP. (and and might also be associated with the improved risk of ITP [20]. However, other studies showed contradictory results concerning the potential association between or and the susceptibility to ITP [21,22]. For the sake of obtaining consistent results, we performed the present meta-analysis of all available studies to determine the association between gene polymorphisms in the and genes and the susceptibility to ITP. Material and Methods Search strategy Studies concerning the association between and gene polymorphisms and the susceptibility to ITP were retrieved from: Cochrane Library Database, Medline, EMBASE, CINAHL, Web of Technology, PubMed, and Chinese Biomedical Database (CBM). A varied combination of MeSH terms and keywords was utilized for selecting relevant studies: (genetic polymorphism or SNP or variance or solitary nucleotide polymorphism or polymorphism or mutation or variant) and (Fc gamma receptor IIA or FCGR3A protein, human or FCGR2B protein, human being or Fc gamma receptor IIA or FcgammaRIIA or FcgammaRIIIA or FcgammaRIIB or FCGR3A or FCGR2B or FcgammaRIIB protein) and (Purpura, ALK inhibitor 1 Thrombocytopenic, Idiopathic or immune thrombocytopenic purpura or Werlhofs Disease or Werlhofs Disease or Autoimmune Thrombocytopenic Purpura or Idiopathic Thrombocytopenic Purpura or Immune Thrombocytopenic Purpura or Autoimmune Thrombocytopenia). In addition to electronic searching, additional relevant studies were manually recognized using recommendations in enrolled papers from the electronic search and abstracts offered at meetings of relevant medical societies. Inclusion criteria To determine the trial eligibility ALK inhibitor 1 for the meta-analysis, 4 criteria were regarded as: (1) Tests should be either clinically published or nested case-control studies focusing on the association between and SNPs and the risk of ITP; (2) All included subjects must be diagnosed with ITP regarded as the case group, and additional comparable healthy people at the same period were chosen as the control group; and (3) Adequate info on and polymorphisms should be supplied by eligible studies. Data ALK inhibitor 1 extraction and quality score assessment Info was systematically pooled from selected publications by 2 investigators based on the Rabbit Polyclonal to FOXC1/2 inclusion criteria described above. The following data were collected for those studies: first author, countries, ethnicity, geographical locations, languages, study design, case figures, age, sample size, sources of the subjects, genotype detection methods, and genotype polymorphism distributions. The qualities of selected tests were assessed by 2 self-employed investigators using the Newcastle-Ottawa Level (NOS) criteria [23]. The NOS criteria make use of a celebrity rating system for quality assessments: (1) subject selections: 0~4; (2) subject comparability: 0~2; and (3) medical results: 0~3. NOS scores range from 0 to 9; studies with scores of more than 7 were considered ALK inhibitor 1 as high-quality studies. Statistical analysis Version 12.0 of the STATA software (Stata Corporation, College Train station, TX, USA) was used to process data to accomplish integrity and rigorousness of statistical analysis. Associations between gene polymorphisms and the risk of ITP were assessed by odds ratios (OR) and 95% confidence interval (95%CI). The Z test was used to evaluate the statistical significance of pooled ORs. Heterogeneity across studies was assessed using Cochrans checks [24]. A 50% shows heterogeneity across all studies and either a random-effects model or a fixed-effects model was applied to the studies. Subgroup analysis was performed by ethnicity and disease foundation. Apart from that, sensitivity analysis was used to further investigate heterogeneity, and potential publication bias was assessed with the use of funnel plots together with Eggers test [25]. Results Characteristics of included studies Fifty-six content articles were in the beginning selected based on the search strategy explained above, and 24 content articles were excluded after critiquing their titles and abstracts. After that, another 20 content articles were excluded based on systematic evaluations of their material, and another 2 content articles were also excluded due.