| Literature DB >> 32190584 |
Amir Anbiyaiee1, Mahrokh Abouali Galeh Dari1, Omid Anbiyaee2, Abolghasem Anbiyaiee3.
Abstract
BACKGROUND: Immediate Breast Reconstruction (IBR) is an additional surgical procedure that may increase postoperative complications (such as flap necrosis, infection, and hematoma) and delay the initial time for adjuvant chemotherapy in some patients. In this systematic and meta-analysis, we provide overall survival rates of patients who underwent mastectomy with and without IBR.Entities:
Keywords: Breast; Cancer; Mastectomy; Reconstruction
Year: 2020 PMID: 32190584 PMCID: PMC7068191 DOI: 10.29252/wjps.9.1.3
Source DB: PubMed Journal: World J Plast Surg ISSN: 2228-7914
Fig. 1Flow chart of study selection process
The findings and results of the studies that entered the study
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| Outcomes | Overall survival | Overall survival | Overall survival | Overall survival | Disease-free survival, overall survival | |
| Follow up median | Mastectomy alone | 23.4 | 8.6 | Not available | Not available | Not available |
| IBR | 23.4 | 8.6 | Not available | Not available | Not available | |
| Lymph-node | Mastectomy alone | 324/267/167 | 41/16/48 | Not available | Not available | 11, 5, 27 |
| IBR | 384/236/138 | 137/102/100 | Not available | 21/37/22 | 5, 10,4 | |
| stage (I/II/III/I V) | Mastectomy alone | Not available | Not available | Not available | Not available | 38, 19,28 |
| IBR | Not available | Not available | Not available | Not available | 41,31,15 | |
| Age median | Mastectomy alone | 45 | Not available | Not available | Not available | 58 |
| IBR | 45 | Not available | Not available | 46 | 48 | |
| Patients (n) | Mastectomy alone | 758 | 105 | 9250 | 210 | |
| IBR | 758 | 339 | 5644 | 400 | 681 | |
| Study design | RCS | CC | RCS | CC | PCR | |
| Author | Platt et al., 2015 | Aurilio et al., 2015 | Jagsi et al., 2016 | Howes et al., 2019 | Miller et al., 2016 | |
Overall survival in to groups (without reconstruction and breast reconstruction)
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| Platt et al., 2015 | 57.5 | 47.5 |
| Aurilio et al., 2015 | 69.5 | 79.5 |
| Jagsi et al., 2016 | 52.3 | 74.6 |
| Howes et al., 2019 | 42 | 57.9 |
| Miller et al., 2016 | 24 | 76 |
Heterogeneity Chi-Square
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| Platt et al., 2015 | 57.5 | -35.59 | 150.59 | 35.38 |
| Aurilio et al., 2015 | 69.5 | -86.31 | 225.31 | 12.63 |
| Jagsi et al., 2016 | 52.3 | -93.91 | 198.51 | 14.35 |
| Howes et al., 2019 | 42.0 | 071.48 | 155.48 | 23.81 |
| Miller et al., 2016 | 24 | -124.95 | 172.95 | 13.83 |
I-squared (variation in ES attributable to heterogeneity)=0.0% Test of ES=0, z=1.77, P=0.077
Fig. 2Forest plot of overall survival