Data was imported by two independent examiners (YW, DB) into the software “Microsoft® Excel for Mac 2011” (Microsoft Corporation, Redmond). For statistical analysis the statistics software R 3.2.2 (R Foundation for Statistical Computing, Vienna, Austria, www.r-project.com) was used. A descriptive analysis with mean, standard deviation, median, minimum, and maximum for continuous data was conducted. For categorial data percentages are given.

Statistical significance of potentially influencing factors (age, sex, smoking, peri-implantitis, implant position, type of restoration) on ordinal measurements of patient satisfaction was determined by ordinal or in one case logistic regression analysis. For continuous measurement variables (VAS, OHIP or PIDAQ) linear regression analyses were used. Estimates (odds ratio, mean difference) are given with corresponding 95% confidence interval and p value. If more than five OHIP score questions in total, two questions in an OHIP score subgroup, or one of the three questions on problems specific to patients with prostheses were not answered, the patient was excluded. For all other cases, a statistical estimate gained via multiple imputation was used to supplement missing responses. Thereby, the mice function in the mice package in R, which generates multivariate imputations by chained equations was used. Due to the descriptive nature of this study no adjustment for multiple testing was carried out and the significance level was set to be 0.05.

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