PMC:7573178 / 6962-8010 JSONTXT

{"project":"MyTest","denotations":[{"id":"33088257-19961608-29795645","span":{"begin":681,"end":683},"obj":"19961608"}],"namespaces":[{"prefix":"_base","uri":"https://www.uniprot.org/uniprot/testbase"},{"prefix":"UniProtKB","uri":"https://www.uniprot.org/uniprot/"},{"prefix":"uniprot","uri":"https://www.uniprot.org/uniprotkb/"}],"text":"Once the studies were selected, the next step was to extract the following data from each article: Author and year, country, diseases/conditions, ethnicity, sample size, % males, mean age, genotyping methods, Hardy Weinberg Equilibrium, resilience scales and scores (mean and Standard Deviation -SD-) and genotypic and allelic frequencies (Tables 1(Tab. 1), 2(Tab. 2)). In case that these data were not available in the publications, the authors were contacted to ask for the missing information. Two authors independently performed this process. Finally, the analyses were conducted using the open-source and cross-platform software called OpenMeta[Analyst] (Wallace et al., 2009[46]), in which a Random-Effects Model was implemented, in order to calculate the effect size using the Standardized Mean Difference (SMD) metric. Herein, the means and standard deviations of resilience scores for each 5-HTTLPR genotype were used. Moreover, with this program, the I2 statistic for heterogeneity analysis was calculated and forest plots were generated."}

{"project":"2_test","denotations":[{"id":"33088257-19961608-29795645","span":{"begin":681,"end":683},"obj":"19961608"}],"text":"Once the studies were selected, the next step was to extract the following data from each article: Author and year, country, diseases/conditions, ethnicity, sample size, % males, mean age, genotyping methods, Hardy Weinberg Equilibrium, resilience scales and scores (mean and Standard Deviation -SD-) and genotypic and allelic frequencies (Tables 1(Tab. 1), 2(Tab. 2)). In case that these data were not available in the publications, the authors were contacted to ask for the missing information. Two authors independently performed this process. Finally, the analyses were conducted using the open-source and cross-platform software called OpenMeta[Analyst] (Wallace et al., 2009[46]), in which a Random-Effects Model was implemented, in order to calculate the effect size using the Standardized Mean Difference (SMD) metric. Herein, the means and standard deviations of resilience scores for each 5-HTTLPR genotype were used. Moreover, with this program, the I2 statistic for heterogeneity analysis was calculated and forest plots were generated."}