Hip meta analysis

Aseptic loosening of cemented femoral stems depends on their design. This page presents results of a meta-regression analysis to model the effects of design factors (shape, material and surface roughness) on aseptic loosening in primary hip arthroplasty. Full details of the study will be added once it is published. In short, regression was performed on data shown in the summary table using a restricted maximum likelihood estimator of the form: $$\mathit Kaplan-Meier\ estimate\ of\ survival = \beta_0 + \sum_{i=1..n}^n \mathit x_i \beta_i$$

Results of meta-regression

name β se z-score p-value ci_0.025 ci_0.975
intercept 0.736 0.007 101.309 0.0 0.722 0.750
rdr -2.047 0.361 -5.674 0.0 -2.754 -1.340
mat_CoCr 0.283 0.012 22.995 0.0 0.259 0.308
mat_SS 0.219 0.009 24.686 0.0 0.202 0.237
mat_Ti 0.233 0.011 20.608 0.0 0.211 0.256

Method

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Select the data you want to include in the analysis: 1, raw only, 2, back calculated data



Figure 1: Meta regression analysis

Summary of implant and study data

arm study year stem collar ra rdr mat type start end age female country surv lower upper time nrisk_end nrisk_t0 ci_calc prox oval sym
arm_01 Acklin_2001 2001 Muller_SS_Ti y 1.3585 0.0271 Ti SCC 1989 1989 68 0.52 Switzerland 0.984 0.94 1.0 9 81 126 log 2 n y
arm_02 Berry_2002 2002 Charnley_G1_2 y 0.4083 0.0029 SS SCC 1969 1971 64 0.5 US 0.898 0.88 0.91 25 323 2000 log 3 n y
arm_03 Carrington_2009 2009 Exeter_Uni n 0.0422 0.0 SS SCC 1988 1990 68 0.59 UK 1.0 1.0 1.0 17 65 325 log 1 n y
arm_04 Chiu_2011 2011 Exeter_Uni n 0.0422 0.0 SS SCC 1998 2005 70 0.76 Hong Kong 1.0 1.0 1.0 12 9 45 log 1 n y
arm_05 Clauss_2013d 2013 Muller_SLS_Co n 3.746 0.0955 CoCr SCC 1993 1995 68 0.36 Switzerland 0.83 0.75 0.91 15 52 156 log 2 n y
arm_06 Clauss_2013c 2013 Muller_SLS_Ti n 3.8451 0.0931 Ti SCC 1990 1993 70 0.36 Switzerland 0.63 0.56 0.71 15 32 233 log 2 n y
arm_07 Clauss_2013a 2013 Muller_SS_Co y 1.0734 0.0247 CoCr SCC 1984 1987 69 0.45 Switzerland 0.94 0.89 0.99 15 62 172 log 2 n y
arm_08 Clauss_2013b 2013 Muller_SS_Ti y 1.3585 0.0271 Ti SCC 1987 1990 69 0.46 Switzerland 0.81 0.76 0.87 15 90 267 log 2 n y
arm_09 Espehaug_2009c 2009 Charnley_G2 y 0.6455 0.0094 SS MCC 1987 1997 73 0.72 Norway 0.922 0.91 0.93 18 805 14842 log 3 y y
arm_010 Espehaug_2009a 2009 Exeter_Uni n 0.0422 0.0 SS MCC 1987 1997 72 0.71 Norway 0.961 0.94 0.97 18 326 3934 log 1 n y
arm_011 Espehaug_2009f 2009 ITH y 0.7905 0.0056 Ti MCC 1987 1997 73 0.7 Norway 0.959 0.94 0.97 18 96 2257 log 1 y y
arm_012 Espehaug_2009h 2009 Titan_L n 0.6294 0.0049 Ti MCC 1987 1997 75 0.73 Norway 0.96 0.94 0.97 18 92 3216 log 2 n y
arm_013 Espehaug_2009d 2009 Charnley_G2 y 0.6455 0.0094 SS MCC 1998 2007 73 0.72 Norway 0.995 0.99 0.99 8 2280 14735 log 3 y y
arm_014 Espehaug_2009b 2009 Exeter_Uni n 0.0422 0.0 SS MCC 1998 2007 72 0.71 Norway 0.991 0.98 0.99 8 653 7640 log 1 n y
arm_015 Espehaug_2009g 2009 ITH y 0.7905 0.0056 Ti MCC 1998 2007 73 0.7 Norway 0.996 0.99 0.99 8 315 1013 log 1 y y
arm_016 Espehaug_2009e 2009 Spectron_EF y 3.8331 0.0627 CoCr MCC 1998 2007 74 0.72 Norway 0.982 0.97 0.99 8 242 7219 log 3 n y
arm_017 Espehaug_2009i 2009 Titan_D n 0.7359 0.0165 Ti MCC 1998 2007 75 0.73 Norway 0.979 0.97 0.98 8 648 5369 log 2 n y
arm_018 Garellick_1999a 1999 Charnley_G2 y 0.6455 0.0094 SS SCC 1985 1989 70 0.7 Sweden 0.948 0.89 1.0 11 20 206 simple 3 y y
arm_019 Garellick_1999b 1999 Spectron y 0.7604 0.0072 CoCr SCC 1985 1989 71 0.64 Sweden 1.0 1.0 1.0 11 25 204 simple 3 n y
arm_020 Hook_2006 2006 Exeter_Uni n 0.0422 0.0 SS SCC 1988 1993 61 0.65 UK 0.989 0.91 1.0 10 66 142 log 1 n y
arm_021 Issack_2003 2003 Spectron y 0.7604 0.0072 CoCr SCC 1983 1988 69 0.77 US 0.939 0.91 0.96 16 114 120 log 3 n y
arm_022 Klapach_2001 2001 Charnley_G1 y 0.0581 0.0 SS SCC 1976 1978 69 0.57 US 0.98 0.93 1.03 20 70 353 simple 3 n y
arm_023 Ling_2009 2009 Exeter n 0.0 0.0 SS SCC 1970 1975 67 0.63 UK 0.935 0.9 0.97 27 41 433 log 1 n y
arm_024 Morita_1999 1999 Charnley_G2 y 0.6455 0.0094 SS SCC 1976 1986 57 0.91 Japan 0.861 nan nan 13 - 35 simple 3 y y
arm_025 Poon_2001a 2001 Charnley_G2 y 0.6455 0.0094 SS SCC 1980 1991 67 0.58 New Zealand 0.956 0.94 0.97 7 164 1029 log 3 y y
arm_026 Poon_2001b 2001 Spectron y 0.7604 0.0072 CoCr SCC 1980 1991 67 0.58 New Zealand 0.995 0.96 1.02 7 82 638 simple 3 n y
arm_027 Raber_2001 2001 Muller_SS_Co y 1.0734 0.0247 CoCr SCC 1980 1982 62 0.48 Switzerland 0.881 nan nan 15 54 109 simple 2 n y
arm_028 Sochart_1998 1998 Charnley_G2 y 0.6455 0.0094 SS SCC 1981 1986 58 0.62 UK 0.87 0.62 1.0 15 - 224 log 3 y y
arm_029 Tai_2009 2009 Exeter_Uni n 0.0422 0.0 SS SCC 1995 2002 58 0.79 Malaysia 1.0 1.0 1.0 12 - 47 log 1 n y
arm_030 Young_2009 2009 Exeter_Uni n 0.0422 0.0 SS SCC 1994 1996 69 0.62 UK 1.0 1.0 1.0 13 144 230 log 1 n y
arm_031 Makela_2008b 2008 Lubinus_SPII y 2.2195 0.0379 CoCr MCC 1986 2005 73 0.66 Finland 0.9 0.88 0.91 15 618 10634 log 3 y n
arm_032 Makela_2008c 2008 Exeter_Matte n 0.9498 0.0167 SS MCC 1981 1991 69 0.6 Finland 0.77 0.73 0.82 20 83 876 log 2 n y
arm_033 Makela_2008d 2008 Exeter_Uni n 0.0422 0.0 SS MCC 1989 2005 73 0.63 Finland 0.96 0.94 0.97 15 95 10620 log 1 n y
arm_034 Makela_2008e 2008 Muller_SS_Co y 1.0734 0.0247 CoCr MCC 1980 1998 71 0.64 Finland 0.88 0.85 0.92 20 114 2309 log 2 n y
arm_035 Makela_2008f 2008 Spectron_EF y 3.8331 0.0627 CoCr MCC 1999 2005 74 0.66 Finland 1.0 0.99 1.0 5 100 1929 log 3 n y
arm_036 Makela_2008g 2008 Charnley_G2 y 0.6455 0.0094 SS MCC 1980 2005 69 0.63 Finland 0.7 0.65 0.75 20 71 925 log 3 y y