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. 2015 Mar 25;473(11):3431–3442. doi: 10.1007/s11999-015-4235-8

Table 1.

Characteristics of studies measuring time to revision following hip or knee arthroplasty included in systematic review (n = 7) and meta-analysis (n = 6)

Study, author,
publication year, country
Study characteristic—study design, population size, age of population Event of interest—verification of events Competing event(s)—verification of events Followup Competing-risks method Software
Biau and Hamadouche [6], 2011, France Cohort study;
118 THA in 106 patients between 1979 and 1980; mean patient age: 62.2 years (range, 32–89 years)
Revision THA
- Data obtained from patient contact or family contact of deceased patients
Death
- Data obtained from patient contact or family contact of deceased patients
Maximum 20 years Cumulative incidence function Unknown
Biau et al. [7], 2007, France Cohort study;
53 men and 38 women patients underwent resection of malignant knee tumor followed by reconstruction with custom-made megaprosthesis (from May 1972 to April 1994); median patient age: 27 years (range, 12–78 years)
Revision of a total knee megaprosthesis not related to malignant knee tumor
- Data retrieved retrospectively from health records
Death or amputation for reasons unrelated to the implant
- Data retrieved retrospectively from health records
Maximum 15 years
Median 62 months
(range, 0.5–343 months)
Cumulative incidence estimator R 1.9.1
(R Foundation for Statistical Computing, Vienna, Austria)
S-Plus 2000 (Mathsoft, Seattle, WA, USA)
Fenemma and Lubsen [16], 2010, The Netherlands Cohort study;
405 cemented THAs operated consecutively between January 1993 and May 1994; mean age not reported
Revision of a total hip prosthesis
- Verification of events not indicated
Death
- Verification of events not indicated
Maximum 12 years Cumulative incidence of competing risks Excel 2003 (Microsoft Inc, Redmond, WA, USA)
Gillam et al. [17], 2010, Australia Cohort (registry) study;
91,795 patients who received partial or total arthroplasty for fractured neck of femur (patients aged 75–84 years) and of patients who received THA for osteoarthritis (patients younger than 70 years versus patients 70 years or older) from January 1, 2002, to December 31, 2008; mean age not reported
First revision of a total hip prosthesis
- Data from the Australian Orthopaedic Association National Joint Replacement Registry
Death
- Data from the National Death Index, maintained by the Australian Institute of Health and Welfare
Maximum 6 years Cumulative incidence function Unknown
Keurentjes et al. [24], 2012, The Netherlands Cohort study;
62 acetabular revisions in 58 patients between January 1989 and March 1986 at the Radboud University Medical Center in Nijmegen, The Netherlands; mean patient age: 59.2 years (range, 23–82 years)
Revision of an acetabular revision
- Verification of events not indicated
Death
- Verification of events not indicated
Mean 23 years Cumulative incidence function R (R Foundation for Statistical Computing)
Ranstam et al. [38], 2011,* Norway, Denmark, and Sweden Cohort (registry) study;
84,843 hip replacements recorded by the Danish Hip Arthroplasty Register between 1995 and 2008; mean patient age not reported
Implant failure after THA
- Data from the Danish Hip Arthroplasty Register
Death
- Verification of events not indicated
Maximum 10 years Cumulative incidence function Unknown
Schwarzer et al. [41], 2001, Germany and Switzerland Cohort study;
239 total hip prostheses made of a titanium alloy (Titan GS; Landos, Inc, Malvern, PA, USA) implanted between July 1987 and November 1993 (followed until March 1997) in a specialized hospital in Liestal, Switzerland; 68% of patients aged > 65 years
Revision of a total hip prosthesis
- Verification of events not indicated
Death
- Verification of events not indicated
Median 6.0 years
1368.1 person-years
Cumulative incidence using a competing- risks model Unknown

* Excluded from meta-analysis because frequencies of events (ie, revisions and deaths) not reported; data regarding number and time of event may have been obtained using administrative data, registry data, medical records, etc; mean, median, or maximum followup time or total person-years.