Homogeneity in prediction of survival probabilities for subcategories of hipprosthesis data: The nordic arthroplasty register association, 2000–2013
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Homogeneity in prediction of survival probabilities for subcategories of hipprosthesis data : The nordic arthroplasty register association, 2000–2013. / Bartz-Johannessen, Christoffer; Furnes, Ove; Fenstad, Anne Marie; Lie, Stein Atle; Pedersen, Alma Becic; Overgaard, Søren; Kärrholm, Johan; Malchau, Henrik; Mäkelä, Keijo; Eskelinen, Antti; Wilkinson, Jeremy M.
In: Clinical Epidemiology, Vol. 11, 10.07.2019, p. 519-524.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Homogeneity in prediction of survival probabilities for subcategories of hipprosthesis data
T2 - The nordic arthroplasty register association, 2000–2013
AU - Bartz-Johannessen, Christoffer
AU - Furnes, Ove
AU - Fenstad, Anne Marie
AU - Lie, Stein Atle
AU - Pedersen, Alma Becic
AU - Overgaard, Søren
AU - Kärrholm, Johan
AU - Malchau, Henrik
AU - Mäkelä, Keijo
AU - Eskelinen, Antti
AU - Wilkinson, Jeremy M.
PY - 2019/7/10
Y1 - 2019/7/10
N2 - Introduction: The four countries in the Nordic Arthroplasty Register Association (NARA) share geographic proximity, culture, and ethnicity. Pooling data from different sources in order to obtain higher precision and accuracy of survival-probability estimates is appealing. Nevertheless, survival probabilities of hip replacements vary between the countries. As such, risk prediction for individual patients within countries may be problematic if data are merged. In this study, our primary question was to address when data merging for estimating prosthesis survival in subcategories of patients is advantageous for survival prediction of individual patients, and at what sample sizes this may be advised. Methods: Patients undergoing total hip replacements for osteoarthritis between January 1, 2000 and December 31, 2013 in the four Nordic countries were studied. A total of 184,507 patients were stratified into 360 patient subcategories based on country, age-group, sex, fixation, head size, and articulation. For each patient category, we determined the sample size needed from a single country to obtain a more accurate and precise estimate of prosthesis-survival probability at 5 and 10 years compared to an estimate using data from all countries. The comparison was done using mean-square error. Results: We found large variations in the sample size needed, ranging from 40 to 2,060 hips, before an estimate from a single Nordic country was more accurate and precise than estimates based on the NARA data. Conclusion: Using pooled survival-probability estimates for individual risk prediction may be imprecise if there is heterogeneity in the pooled data sources. By applying mean-square error, we demonstrate that for small sample sizes, applying the larger NARA database may provide a more accurate and precise estimate; however, this effect is not consistent and varies with the characteristics of the subcategory.
AB - Introduction: The four countries in the Nordic Arthroplasty Register Association (NARA) share geographic proximity, culture, and ethnicity. Pooling data from different sources in order to obtain higher precision and accuracy of survival-probability estimates is appealing. Nevertheless, survival probabilities of hip replacements vary between the countries. As such, risk prediction for individual patients within countries may be problematic if data are merged. In this study, our primary question was to address when data merging for estimating prosthesis survival in subcategories of patients is advantageous for survival prediction of individual patients, and at what sample sizes this may be advised. Methods: Patients undergoing total hip replacements for osteoarthritis between January 1, 2000 and December 31, 2013 in the four Nordic countries were studied. A total of 184,507 patients were stratified into 360 patient subcategories based on country, age-group, sex, fixation, head size, and articulation. For each patient category, we determined the sample size needed from a single country to obtain a more accurate and precise estimate of prosthesis-survival probability at 5 and 10 years compared to an estimate using data from all countries. The comparison was done using mean-square error. Results: We found large variations in the sample size needed, ranging from 40 to 2,060 hips, before an estimate from a single Nordic country was more accurate and precise than estimates based on the NARA data. Conclusion: Using pooled survival-probability estimates for individual risk prediction may be imprecise if there is heterogeneity in the pooled data sources. By applying mean-square error, we demonstrate that for small sample sizes, applying the larger NARA database may provide a more accurate and precise estimate; however, this effect is not consistent and varies with the characteristics of the subcategory.
U2 - 10.2147/CLEP.S199227
DO - 10.2147/CLEP.S199227
M3 - Journal article
C2 - 31402836
AN - SCOPUS:85070225047
VL - 11
SP - 519
EP - 524
JO - Clinical Epidemiology
JF - Clinical Epidemiology
SN - 1179-1349
ER -
ID: 252057098