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

Table 3.

Meta-analysis and univariate metaregression results for identifying covariates to explain heterogeneity in the estimated pooled RRs: Kaplan-Meier versus competing-risks method*

Strata Largest number of EI Highest ratio of CR to EI
Number of strata Meta-analysis RR (95% CI) Metaregression p value Number of strata Meta-analysis RR (95% CI) Metaregression p value
Followup
 < 10 years 3 1.05 (0.99–1.12) 3 1.59 (1.45–1.73)
 ≥ 10 years 4 1.31 (1.03–1.66) 0.125 4 1.31 (1.03–1.66) 0.203
Ratio of CR to EI
 < 1 1 1.02 (0.96–1.08) 0
 1–10 5 1.18 (1.01–1.38) 0.342 4 1.33 (1.09–1.62)
 > 10 1 1.30 (0.63–2.72) 0.581 3 1.60 (1.46–1.75) 0.161

RR = risk ratio; EI = event of interest; CR = competing risks; CI = confidence interval.

RR=CumulativeIncidenceKaplan-MeierCumulativeIncidenceCompeting-risks.

* n = 6 studies, 7 strata; Gillam et al. [17] estimated the cumulative incidence of revision after THA for three nonmutually exclusive subsets of data; the subset with the largest number of EI included two mutually exclusive strata (patients with osteoarthritis aged < 70 years, and those aged ≥ 70 years); the subset with the highest rate of CRs included two mutually exclusive strata (cementless Austin Moore prostheses, cemented Thompson prostheses).

Ratio\;of\;CR\;to\;EI=Number\;of\;competing\;risks\;observedNumber\;of\;events\;of\;interest\;observed.