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Spss version 21

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SPSS version 21.0 is a comprehensive data analysis software. It provides tools for data management, statistical analysis, and visualization. The software offers a wide range of statistical procedures, including regression, correlation, and hypothesis testing.

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62 protocols using spss version 21

1

Assessing Nutritional Status in Newly Diagnosed GIST Patients

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We provided PG-SGA standard questionnaires for all newly diagnosed GIST patients admitted to the Third Department of the Fourth Hospital of Hebei Medical University. Software of SPSS version 21.0 and GraphPad Prism 5.01 were utilized to perform statistical analyses. Anthropometric measurement and PG-SGA scores were expressed in the form of descriptive statistics (mean, standard deviation, and frequency), respectively. The t test, ANOVA test, and correlation analysis were used to statistically evaluate the degree of correlation between these factors and the PG-SGA score. Survival analysis was performed using the Kaplan-Meier method. Univariate and multivariate analyses were investigated by the Cox proportional hazards regression model. The hazard ratio (HR) and 95% confidence interval (CI) were used to assess relative risks. P value < 0.05 was regarded as statistical difference significantly.
Ding P., Guo H., Yang P., Sun C., Tian Y., Liu Y., Li Y, & Zhao Q. (2021). Association Between the Nutritional Risk and the Survival Rate in Newly Diagnosed GIST Patients. Frontiers in Nutrition, 8, 743475.
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2

Cell Experiment Statistical Analysis

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All cell experiments were performed in three different replicates. Data were evaluated using Kolmogorov–Smirnov and Shapiro–Wilk normality tests. For normally distributed data, the difference between the experimental groups was demonstrated using a one‐way anova test. The differences between the experimental groups, which emerged as a numerical value (p) as a result of all statistical applications, were considered significant at p < 0.05 significance level. Tukey test was used for multiple comparisons. Statistical analysis was performed using SPSS Version 21.0 and Graphpad 7 Prism programs. Normally distributed data obtained from all groups were given as mean ± standard error.
Kurban B., Tuncel T., Görgülü Ş., Kar F., Öztürk A, & Özek T. (2023). Elemi essential oil nanocapsulated drug ameliorates lung cancer via oxidative stress, apoptosis and inflammation pathway. Journal of Cellular and Molecular Medicine, 27(13), 1887-1899.
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3

Statistical Analysis for Biological Experiments

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Statistical assays were performed using SPSS version 21.0 and GraphPad Prism 9.0 software. Continuous variables were tested for normality using the Shapiro–Wilk test. The data conforming to a normal distribution are expressed as the mean ± standard deviation, while data with a non-normal distribution are expressed as the median (the interquartile range). Student’s t-test was used to analyze differences between the continuous variables, and the Mann–Whitney U test was employed for others. The qualitative data were described by frequency and percentage, and the comparison between two groups was analyzed by chi-square test and Fisher’s exact test. Receiver operating characteristic (ROC) curves were plotted to assess the sensitivity and specificity. Two-tailed P-values < 0.05 were considered statistically significant.
Jiang J., Zhao J., Liu D, & Zhang M. (2022). Different roles of urinary light chains and serum light chains as potential biomarkers for monitoring disease activity in systemic lupus erythematosus. PeerJ, 10, e13385.
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4

Concordance between TST and QFTGIT for LTBI

Cited 1 time
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Data was entered and analyzed using SPSS version 21.0 and Graphpad Prism 8.0.2. Descriptive statistics were used to describe the socio-demographic and clinical data. Continuous variables are expressed as median with interquartile range (IQR), and categorical variables as frequencies and percentages. Chi-square (χ2) was used to compare detection rates between two groups of study participants. The concordance between TST and QFTGIT was evaluated using a percentage of agreement and the kappa (k) coefficient analysis. Strength of agreement was considered ‘poor’ for κ ≤ 0.20, ‘fair’ for 0.20 < κ ≤0.40, ‘moderate’ for 0.40 < κ ≤ 0.60, ‘good’ for 0.60 < κ ≤ 0.80, and ‘excellent’ for 0.80 < κ ≤ 1.00 (22 (link), 23 (link)). For the analysis of the agreement, participants with indeterminate test results were excluded. The risk factors associated with the positivity of TST and QFTGIT tests were assessed by univariate logistic regression analysis. A p-value < 0.05 were considered statistically significant.
Birku M., Desalegn G., Kassa G., Tsegaye A, & Abebe M. (2020). Effect of pregnancy and HIV infection on detection of latent TB infection by Tuberculin Skin Test and QuantiFERON-TB Gold In-Tube assay among women living in a high TB and HIV burden setting. International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 101, 235-242.
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5

Statistical Analysis of Experimental Data

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Statistical analysis was performed using SPSS (version 21.0) and GraphPad Prism 6. Data were analyzed by t‐test and Mann–Whitney test. p < 0.05 was considered to be statistically significant.
Zettervall S.L., Wang X., Monk S., Lin T., Cai Y, & Guzman R.J. (2021). Recovery of limb perfusion and function after hindlimb ischemia is impaired by arterial calcification. Physiological Reports, 9(16), e15008.
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6

Statistical Methods for Biological Analysis

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SPSS version 21.0 and GraphPad Prism version 8.0 were used for statistical analysis. Student’s t tests were used to analyze differences between two groups. Survival rates were evaluated using the Kaplan‒Meier method and log-rank test. Pearson correlation was used to determine the correlation between groups. A receiver operating characteristic (ROC) curve was used to assess the diagnostic value. Data are presented as the mean ± standard deviation (SD) across at least three independent experiments. A value of P < 0.05 was regarded as statistically significant.
Wang W., Luo H., Chang J., Yang X., Zhang X., Zhang Q., Li Y., Zhao Y., Liu J., Zou B, & Hao M. (2023). Circular RNA circ0001955 promotes cervical cancer tumorigenesis and metastasis via the miR-188-3p/NCAPG2 axis. Journal of Translational Medicine, 21, 356.
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7

CYP2E1 Expression and Survival Analysis

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SPSS version 21.0 and GraphPad Prism 5.0 were used to perform statistical analysis and generate graphs, respectively. The Kolmogorov–Smirnov and Shapiro–Wilk methods were used to assess the normality of the data. For normal distribution data, a two-tailed Student’s t-test was used for pairwise comparisons. The Mann–Whitney U test was used to compare two groups with non-normal distribution data. The overall survival data were analyzed by Kaplan–Meier plots and the cut-off value for defining the subgroups was the median expression level of CYP2E1 mRNA. The sample was then divided into two groups. One group consisted of samples with CYP2E1 expression levels higher than the median, and the other group consisted of the remaining samples. A P value (two-tailed) < 0.05 indicated statistically significant.
Zhu L., Yang X., Feng J., Mao J., Zhang Q., He M., Mi Y., Mei Y., Jin G, & Zhang H. (2022). CYP2E1 plays a suppressive role in hepatocellular carcinoma by regulating Wnt/Dvl2/β-catenin signaling. Journal of Translational Medicine, 20, 194.
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8

Quantitative Analyses of mRNA and Protein

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All assays were carried out in triplicate. The data are presented as mean ± standard deviation (SD). Statistical analysis was performed by SPSS version 21.0 and GraphPad Prism 5.0. ANOVA was used to compare the quantitative data of mRNA expression and protein expression tests. For all analyses, statistical significance was defined as * p < 0.05 and ** p < 0.01.
Zhang Z., Guo Y., Guo Y., Zhang L., Niu S., Tian C., Han L., Zhang D, & Liu M. (2022). Molecular Basis for Luteolin as a Natural TatD DNase Inhibitor in Trueperella pyogenes. International Journal of Molecular Sciences, 23(15), 8374.
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9

Sarcopenia and Overall Survival Analysis

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SPSS version 21.0 and GraphPad Prism 8.01 were used for statistical analyses. In this study, all continuous data median (interquartile spacing) or mean ± standard deviation were expressed and analysed for comparison using an independent t test or Mann-Whitney U-test. The categorical data were expressed as numbers and percentages and analysed using the chi-square test or Fisher’s exact test. The optimal cut-off value for ΔSMI (%)/50 days was used to classify patients with good or poor OS. The optimal cut-off value for ΔSMI (%)/50 days was obtained using the receiver operating characteristic (ROC) curve for the highest Youden’s index. Survival curves were plotted using the Kaplan-Meier method, and the log-rank test was used to compare survival rates between groups. Univariate and multivariate analyses were performed using Cox proportional risk regression models, and results were shown as hazard ratio (HR) with 95% confidence intervals (CI). A p < 0.05 was considered statistically significant.
Ding P., Yang P., Yang L., Sun C., Chen S., Li M., Lowe S., Guo H., Tian Y., Liu Y, & Zhao Q. (2022). Impact of skeletal muscle loss during conversion therapy on clinical outcomes in lavage cytology positive patients with gastric cancer. Frontiers in Oncology, 12, 949511.
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10

Biomarker Analysis for MMA Subtypes

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The results are presented as means ± SD. Significance was set at P<0.05. Statistical manipulations were performed using the IBM SPSS version 21.0 (Chicago, IL, USA), or GraphPad Prism version 6.0 software (San Diego, CA, USA). Independent Student’s t-test was used to compare values between patients that had or had not been receiving medical foods, patients with incomplete amino acid equivalent/complete protein intake ratio over and less than 1, and for comparisons between males and females. One-way ANOVA, with Bonferroni correction for multiple comparisons was employed for comparisons among different MMA subtypes (mut, cblA and cblB). Pearson’s correlation coefficient and linear or multiple logistic regression analyses were used to evaluate correlations between independent variables. Independent variables used in a multiple-regression equation included MMA subtype, gender, height-for-age Z-score, serum creatinine, leucine/valine intake ratio, IGF1 and other serum biomarkers (prealbumin, hemoglobin, white cell and platelet count, protein, albumin, eGFR).
Manoli I., Myles J., Sloan J.L., Shchelochkov O.A, & Venditti C.P. (2015). A critical reappraisal of dietary practices in methylmalonic acidemia raises concerns about the safety of medical foods. Part 1: Isolated methylmalonic acidemias (MMA). Genetics in medicine : official journal of the American College of Medical Genetics, 18(4), 386-395.
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