Knee cartilage repair procedure volume number statistics
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We defined NCSP codes as cartilage surgery, meniscal surgery or other types of surgery. The different types of cartilage surgery were defined as palliative, repairing or restorative. All cases were divided into subgroups on the basis of these definitions. We chose the term palliative as these procedures are meant to decrease pain for the patients, although its efficacy is not proven for all indications. CP or debridement was defined as palliative surgery, cartilage repair included microfracture (MF) and cell-based repair with either autologous chondrocyte implantation (ACI) or stem cells and restorative techniques included techniques aiming at restoring the articular cartilage without cartilage repair tissue produced on-site as well as mosaicplasty (MP) and allograft transplantation (which is currently not in use in Norway).
The data were analysed with IBM SPSS Statistics (V.22.0). We assessed the distribution of the data with age as the dependent value and concluded with a non-normality distribution. The categorical variables on events of cartilage surgery were assumed to fulfil the criteria of a Poisson distribution. Cases were stratified by age, sex, health region, county and year of surgery. Incidences of cartilage surgery were given per 100 000 inhabitants and were adjusted to age group, region or county by calculation based on population data from Statistics Norway, which is an academically independent organisation administered under the Ministry of Finance in Norway. The data were assembled from their web pages. We compared the incidences for each of the 4 years to each other using rate ratios (RRs) and tested for significance using Wald tests. We used the Cochran-Armitage trend test for comparing trends in the current study with the existing literature.
Demographics were considered by descriptive statistics. Differences in categorical variables were calculated with ORs and tested with Pearson χ2 tests with geographical localisation as the dependent variable. We explored age differences between subgroups with box plots and performed a Kruskal-Wallis test to test the statistical difference. A Bonferroni correction adjusted the new α level to 0.0125 with four independent analyses (CP vs MF, MF vs ACI, CP vs ACI, MF vs MP) before Mann-Whitney U tests were performed. We were not able to address potential confounders such as actual differences in the prevalence of knee cartilage defects, or differences in the willingness to seek medical assistance for painful knees or the willingness to undergo surgery.
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The data were analysed with IBM SPSS Statistics (V.22.0). We assessed the distribution of the data with age as the dependent value and concluded with a non-normality distribution. The categorical variables on events of cartilage surgery were assumed to fulfil the criteria of a Poisson distribution. Cases were stratified by age, sex, health region, county and year of surgery. Incidences of cartilage surgery were given per 100 000 inhabitants and were adjusted to age group, region or county by calculation based on population data from Statistics Norway, which is an academically independent organisation administered under the Ministry of Finance in Norway. The data were assembled from their web pages. We compared the incidences for each of the 4 years to each other using rate ratios (RRs) and tested for significance using Wald tests. We used the Cochran-Armitage trend test for comparing trends in the current study with the existing literature.
Demographics were considered by descriptive statistics. Differences in categorical variables were calculated with ORs and tested with Pearson χ2 tests with geographical localisation as the dependent variable. We explored age differences between subgroups with box plots and performed a Kruskal-Wallis test to test the statistical difference. A Bonferroni correction adjusted the new α level to 0.0125 with four independent analyses (CP vs MF, MF vs ACI, CP vs ACI, MF vs MP) before Mann-Whitney U tests were performed. We were not able to address potential confounders such as actual differences in the prevalence of knee cartilage defects, or differences in the willingness to seek medical assistance for painful knees or the willingness to undergo surgery.
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