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. 2022 Oct 5;3(4):e205. doi: 10.1097/AS9.0000000000000205

TABLE 2.

OS and BCSS of BCS Compared With Mx—Meta-analyses of Results of Studies Using Data From Population-based Samples

BCS vs Mx K* Heterogeneity Pooled effect size 95% PI #
Q P I   2 Tau2 § HR 95% CI P 
OS** 13 1045.7 <0.001 98.9 0.042 1.34 1.20–1.51 <0.001 0.84–2.15
OS, Mx– RT ** †† ‡‡ 10 137.4 <0.001 93.4 0.011 1.46 1.36–1.57 <0.001 1.13–1.89
OS, Mx+ RT ** †† ‡‡ 7 18.2 0.006 67.0 0.007 1.32 1.22–1.42 <0.001 1.04–1.67
OS, N0§§ 10 45.6 <0.001 80.3 0.004 1.39 1.33–1.46 <0.001 1.19–1.63
OS, N+∥∥ 7 39.5 <0.001 84.8 0.011 1.38 1.26–1.50 <0.001 1.02–1.85
OS, age <50 6 42.1 <0.001 88.1 0.048 1.27 1.05–1.54 0.015 0.65–2.47
OS, age ≥50 5 68.1 <0.001 94.1 0.009 1.40 1.28–1.54 <0.001 1.00–1.97
OS, North America 7 581.6 <0.001 99.0 0.045 1.22 1.04–1.43 0.017 0.68–2.19
OS, Europe 5 73.6 <0.001 94.6 0.011 1.44 1.31–1.59 <0.001 0.99–2.09
OS, TNBC 2 0.0 0.873 00 0.0 1.48 1.37–1.60 <0.001 NA
OS, Low study quality (score 0–6) 3 219.4 <0.001 96.4 0.049 1.04 0.80–1.35 0.773 0.04–27.7
OS, High study quality (score 7–10) 10 229.5 <0.001 96.1 0.014 1.44 1.33–1.55 <0.001 1.08–1.92
Breast cancer–specific survival (BCSS) ** 14 81.1 <0.001 84.0 0.011 1.38 1.29–1.47 <0.001 1.09–1.75
BCSS, Mx–RT †† ‡‡ 9 54.0 <0.001 85.2 0.027 1.43 1.27–1.62 <0.001 0.94–2.16
BCSS, Mx + RT†† ‡‡ 8 26.5 <0.001 73.6 0.014 1.36 1.22–1.51 <0.001 0.99–1.87
BCSS, N0§§ 8 15.1 0.034 53.8 0.004 1.30 1.21–1.39 <0.001 1.09–1.55
BCSS, N+∥∥ 7 10.1 0.120 40.6 0.002 1.31 1.23–1.39 <0.001 1.13–1.52
BCSS, age <50 5 9.8 0.044 59.1 0.006 1.16 1.05–1.28 0.002 0.75–1.79
BCSS, age ≥50 5 21.1 <0.001 81.0 0.009 1.24 1.11–1.38 <0.001 0.88–1.75
BCSS, North America 7 8.2 0.222 27.1 0.002 1.32 1.24–1.40 <0.001 1.15–1.52
BCSS, Europe 5 37.6 <0.001 89.4 0.009 1.38 1.26–1.51 <0.001 0.99–1.93
OS, Low study quality (score 0–6) 3 4.4 0.018 55.0 0.023 1.19 0.94–1.49 0.145 0.10–13.33
OS, High study quality (score 7–10) 11 75.3 <0.001 86.7 0.011 1.40 1.31–1.50 <0.001 1.09–1.80

*K = number of studies/independent samples in the analysis.

†Q statistic: P values <0.1 taken to suggest heterogeneity.

I2 statistic: the proportion of the variance explained by differences in effect sizes beyond random error (heterogeneity).

§Tau2: the between-study variance in effect sizes.

∥Pooled effect size (random-effects model): HR.

P values (2-tailed): Statistically significant (P < 0.05) in bold. HR > 1 indicates an association in the hypothesized direction, that is, BCS is associated with improved survival compared with mastectomy.

#95% PI, that is, the interval in which 95% of future observations from the same family of studies will fall, given the observed data, calculated for heterogeneous ESs (I2 > 0).

**For pooled estimates from K ≥ 10, the possibility of publication bias was explored with funnel plots and Egger’s test. No indications of publication bias were found (Egger’s test > 0.05).

††Mx ± RT = Mastectomy with and without radiotherapy.

‡‡Number of studies/independent samples for Mx ± RT do not add up with overall OS and BCSS analyses due to omission of overlapping samples to ensure independence.

§§N0 = lymph node-negative breast cancer.

∥∥N+ = lymph node-positive breast cancer.

95% PI, 95% prediction interval; BCS, breast-conserving surgery; HR, hazard ratio; Mx, mastectomy; OS, overall survival.