Table 3.

Precut utilization

Study	Setting	Design	Trainee	Utilization rate	s.e.	95% CI	% Weight
Atamanalp et al. (7)	A	R	N	465/3,664=0.127	0.005	0.116–0.137	6.19
Ayoubi et al. (6)	C	R	NA	25/85=0.294	0.049	0.197–0.391	2.28
Cennamo et al. (9)	A	P	NA	32/110=0.291	0.043	0.206–0.375	2.68
Chatterjee et al. (10)	A/C	R	NA	4/481=0.008	0.004	0.000–0.016	6.25
Colton et al. (11)	C	P	N	26/805=0.032	0.006	0.020–0.045	6.15
Donnellan et al. (28)	A	R	Y	352/2,603=0.135	0.006	0.122–0.148	6.12
Enochsson et al. (12)	A/C	P	Y	858/1,1074=0.077	0.002	0.072–0.082	6.30
Fukatsu et al. (29)	A	R	NA	80/501=0.160	0.016	0.127–0.191	5.30
Garcia-Cano et al. (13)	A	P	Y	23/199=0.116	0.022	0.071–0.160	4.61
Glomsaker et al. (14)	A/C	P	NA	190/3,809=0.050	0.003	0.042–0.057	6.27
Katsinelos et al. (31)	A	R	N	283/2,903=0.097	0.006	0.087–0.108	6.19
Mariani et al. (20)	A	P	Y	100/1,249=0.080	0.007	0.065–0.095	6.07
Panteris et al. (22)	C	R	N	164/601=0.223	0.018	0.237–0.308	5.11
Robison et al. (32)	A	R	NA	150/2,939=0.051	0.004	0.043–0.059	6.25
Siddiqui et al. (33)	C	R	N	59/515=0.115	0.014	0.087–0.142	5.54
Testoni et al. (23)	A/C	P	Y	308/3,635=0.085	0.004	0.076–0.094	6.23
Testoni et al. (24)	A	R	Y	161/2,004=0.080	0.006	0.068–0.092	6.16
Williams et al. (26)	A/C	P	Y	465/5,264=0.088	0.004	0.081–0.096	6.26
Cumulative weighted utilization rate				0.105		0.087–0.123	100.0

	Coef.	95% CI	P value
Setting	−0.047	−0.161 to 0.067	0.383
Design	−0.032	−0.113 to 0.049	0.415
Trainee	−0.032	−0.107 to 0.0	0.359

Heterogeneity χ²=794.94 (d.f.=17), P=0.000; I²=97.9%; estimate of between-study variance τ²=0.001; test of ES=0: z=11.25, P=0.000

Metaregression subgroup analysis

CI, confidence interval; Coef., coefficient; ES, effect size; NA, not applicable.