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. 2022 Jul 27;128(19):3449–3469. doi: 10.1002/cncr.34393

Breast cancer recurrence after immediate and delayed postmastectomy breast reconstruction—A systematic review and meta‐analysis

Claudia A Bargon 1,2,3, Danny A Young‐Afat 4, Mehmet Ikinci 5, Assa Braakenburg 3, Hinne A Rakhorst 6, Marc AM Mureau 7, Helena M Verkooijen 1,8, Annemiek Doeksen 2,
PMCID: PMC9546326  PMID: 35894936

Abstract

Background

Oncological safety of different types and timings of PMBR after breast cancer remains controversial. Lack of stratified risk assessment in literature makes current clinical and shared decision‐making complex. This is the first systematic review and meta‐analysis to evaluate differences in oncological outcomes after immediate versus delayed postmastectomy breast reconstruction (PMBR) for autologous and implant‐based PMBR separately.

Methods

A systematic literature search was performed in MEDLINE, Cochrane Library, and Embase. The Cochrane Collaboration Handbook and Meta‐analysis Of Observational Studies in Epidemiology checklist were followed for data abstraction. Variability in point estimates attributable to heterogeneity was assessed using I 2‐statistic. (Loco)regional breast cancer recurrence rates, distant metastasis rates, and overall breast cancer recurrence rates were pooled in generalized linear mixed models using random effects.

Results

Fifty‐five studies, evaluating 14,217 patients, were included. When comparing immediate versus delayed autologous PMBR, weighted average proportions were: 0.03 (95% confidence interval [CI], 0.02–0.03) versus 0.02 (95% CI, 0.01–0.04), respectively, for local recurrences, 0.02 (95% CI, 0.01–0.03) versus 0.02 (95% CI, 0.01–0.03) for regional recurrences, and 0.04 (95% CI, 0.03–0.06) versus 0.01 (95% CI, 0.00–0.03) for locoregional recurrences. No statistically significant differences in weighted average proportions for local, regional and locoregional recurrence rates were observed between immediate and delayed autologous PMBR. Data did not allow comparing weighted average proportions of distant metastases and total breast cancer recurrences after autologous PMBR, and of all outcome measures after implant‐based PMBR.

Conclusions

Delayed autologous PMBR leads to similar (loco)regional breast cancer recurrence rates compared to immediate autologous PMBR. This study highlights the paucity of strong evidence on breast cancer recurrence after specific types and timings of PMBR.

Lay summery

  • Oncologic safety of different types and timings of postmastectomy breast reconstruction (PMBR) remains controversial.

  • Lack of stratified risk assessment in literature makes clinical and shared decision‐making complex.

  • This meta‐analysis showed that delayed autologous PMBR leads to similar (loco)regional recurrence rates as immediate autologous PMBR. Data did not allow comparing weighted average proportions of distant metastases and total breast cancer recurrence after autologous PMBR, and of all outcome measures after implant‐based PMBR.

  • Based on current evidence, oncological concerns do not seem a valid reason to withhold patients from certain reconstructive timings or techniques, and patients should equally be offered all reconstructive options they technically qualify for.

Keywords: autologous, breast cancer, breast neoplasm, breast reconstruction, implant, metastasis, oncological safety, recurrence

Short abstract

Oncologic safety of different types and timings of postmastectomy breast reconstruction (PMBR) remains controversial. This meta‐analysis showed that delayed autologous PMBR leads to similar (loco)regional breast cancer recurrence rates compared to immediate autologous PMBR.

INTRODUCTION

Advances in early detection and treatment of breast cancer have improved breast cancer survival and shifted focus toward optimizing quality of life. 1 In this context, an increase in requests for postmastectomy breast reconstruction (PMBR) has been observed to preserve breast contour and function. 2 Autologous tissue, breast implants, or a combination, can be used for PMBR, either in an immediate or delayed fashion. 2 Because of logistical challenges, concerns about delays in adjuvant treatment, and concerns of impaired outcomes of PMBR in combination with adjuvant radiotherapy, breast reconstruction is often performed in a delayed fashion. 2 , 3 Still, immediate PMBR is considered superior in terms of patient satisfaction, costs, hospitalization and psychological benefits, 2 , 4 , 5 , 6 and as such, hospitals are increasingly offering immediate PMBR. 7

The growing application of PMBR has raised new concerns regarding long‐term oncological safety. 8 According to the concept of tumor dormancy, breast cancer patients might harbor dormant micrometastases that can be activated by stressors, such as extensive (reconstructive) surgery, 8 , 9 thereby inducing recurrence and metastasis. 10 , 11 Also, reconstructed breasts might mask recurrent tumors on radiological imaging. 12

In the absence of well‐known landmark studies, the oncological safety of different types and timings of PMBR remains controversial. Isern and colleagues 11 reported higher breast cancer recurrence rates after delayed PMBR than after mastectomy only, whereas others were not able to confirm this increased risk. 8 , 12 , 13 Moreover, different relapse patterns were described, such as a higher 18‐month peak in relapses following delayed versus no reconstruction, and after autologous versus implant‐based reconstruction. 9 There is a paucity of studies comparing differences in oncological outcomes after immediate versus delayed PMBR for autologous and implant‐based reconstructions separately. Making this distinction is important, because surgical impact, indications, and patient selection differ between autologous and implant‐based reconstructions, and the same applies to immediate versus delayed reconstructions.

The abundance of inconclusive literature on breast reconstructive surgery makes current clinical decision‐making and clear patient education complex. 14 As such, contemporary decision‐making remains based on expert consensus rather than scientific clinical evidence, subsequently leading to unequal access to reconstructive options. A well conducted up‐to‐date systematic review and meta‐analysis (SR/MA) may provide more insight into this much‐debated issue and support clinical and shared decision‐making. Therefore, with this SR/MA, we aim to investigate whether delayed PMBR leads to different (loco)regional recurrence, distant metastasis, and overall recurrence rates than immediate PMBR in patients with primary breast cancer. Because of differences in nature and indications of implant‐based and autologous breast reconstructive techniques, 5 this question was evaluated separately for autologous and implant‐based breast reconstruction.

MATERIALS AND METHODS

This SR/MA was registered in PROSPERO (CRD42020141137).

Search strategy

A comprehensive systematic literature search was performed following the Cochrane Collaboration Handbook 15 and the Meta‐analysis Of Observational Studies in Epidemiology checklist in MEDLINE (via PubMed), Embase and the Cochrane Library from inception to November 19, 2020 (Fig. 1). The search strategy was designed by three authors (C.A.B., A.D., and A.B.) and two hospital librarians (Nienke van der Werf and Carla Sloof‐Enthoven), and included three components: “breast cancer,” “breast reconstruction,” and “oncological outcome” (Table S1). Duplicate articles were removed.

FIGURE 1.

FIGURE 1

Flow diagram of literature search and screening following the PRISMA 2020 Flow Diagram. (A) The format for this flowchart was retrieved from the PRISMA 2020 statement as published by Page et al. 76 (B) Inclusion criteria included mastectomy with breast reconstruction, first breast cancer episode, age > 18 years old, randomized controlled trials, prospective and retrospective observational studies, and original articles published after 1999. (C) Exclusion criteria included prophylactic mastectomy, breast‐conserving surgery, prior breast surgery, distant recurrence at time of diagnosis, studies <50 patients, follow‐up <24 months, animal studies, non‐English or non‐Dutch studies, and other design or article types (i.e., isolated abstracts, case reports, preclinical studies, reviews, meta‐analyses, practical summary's guidelines, editorials, communications, correspondence, discussions and letters). (D) A cross‐reference check yielded zero additional articles. After exclusion of 276 studies, 48 were left for inclusion. However, of an additional seven studies that were originally excluded more detailed data was provided by the corresponding authors. (E) Of the 55 included studies, 37 were included in quantitative synthesis (meta‐analysis) for autologous breast reconstruction and 28 for implant‐based reconstruction.

Study selection

Two authors (C.A.B. and M.I.) independently screened all articles for title and abstract. If title and abstract were ambiguous, the full‐text article was reviewed. Authors were blinded for each other's results until the screening process was completed. Subsequently, two independent authors (C.A.B. and M.I.) screened full‐texts to select articles for inclusion in the SR/MA.

Original articles including patients >18 years old and reporting oncological outcomes (i.e., “local,” “regional,” “locoregional” or “total breast cancer recurrences,” and “distant metastasis”) after PMBR in patients with breast cancer were included. Because of the scarcity of randomized controlled trials, prospective and retrospective observational studies were included. Comparative studies with only one study arm meeting in‐ and exclusion criteria were included. Exclusion criteria included (1) other publication types (i.e., isolated abstracts, case reports, preclinical studies, reviews, meta‐analyses, practical summary's, guidelines, editorials, communications, correspondence, discussions, unrelated, duplicated, conference, overlapping data, authors response theses, books, and letters), (2) animal studies, (3) non‐English or non‐Dutch language articles, (4) studies published before 2000, (5) studies including cohorts with <50 patients, (6) studies with a mean follow‐up <24 months or unknown follow‐up, (7) studies including patients with PMBR after initial breast‐conserving surgery or prophylactic mastectomy, and (8) studies including patients with distant metastasis at time of diagnosis or PMBR, and breast cancer recurrence before PMBR. Nonavailable full‐text articles (9) were also excluded. In case of overlapping cohorts, either the largest cohort or the cohort with the most suitable study design was included. A cross‐reference check was performed among included articles and excluded reviews for additional studies meeting the inclusion criteria.

Missing data

All corresponding authors of articles reporting aggregated data on recurrences or metastases for immediate and delayed or implant‐based and autologous PMBR were contacted to request data for each group separately.

Quality assessment and data extraction

The quality of studies and risk of bias was evaluated with the Methodological Index for NOn‐Randomized Studies, which is designed to critically appraise prospective and retrospective studies, as well as comparative and noncomparative studies. 16 The maximum score for noncomparative studies is 16 and 24 for comparative studies. A higher total score corresponds with less risk of bias.

Data extraction was performed by two independent authors (C.A.B. and M.I.) using a standardized form that was pilot‐tested and optimized accordingly. Extracted data included study design, patient characteristics, interventions, and outcomes (Tables 2, 3, 4). Outcomes of interest were local, regional, locoregional, distant and overall breast cancer recurrence and expressed as the proportion of patients experiencing recurrence. Overall breast cancer recurrence was defined as the sum of all (loco)regional recurrences and distant metastases.

TABLE 2.

Study Characteristics And Baseline Characteristics Of Included Study Populations

Year First author Country Journal Study design No. of patients No. of breasts Age (range), years Follow‐up (range), months Reconstructive method
2014 Adam 48 Sweden Eur J Surg Oncol Re 67 69 49b (24–74) 36b (4–162) Immediate, implant‐based
2018 Adam 19 Sweden Br J Surg Re 250 254 48b (25–67) 89b (4–214) Delayed, autologous
2019 Bjöhle 38 Sweden Radiother Oncol Re 128 128 46b (21–68) 69.6b (1–90) Immediate, implant‐based
2006 Caruso 31 Italy Eur J Surg Oncol Re 50 51 42b (28–68) 66a (9–140) Immediate, implant‐based
2018 Chen 32 Taiwan Ann Plast Surg Re 111 111 40.5a (SD = 7.5) 85.3a/91.0b (NR) Immediate, implant‐based
2017 Cont 49 Italy Breast Cancer Res Treat Re 518 518 NR 33a (NR) Immediate, implant‐based
2016 Dillekås 9 Norway Breast Cancer Res Treat Re 312 312 48b (NR) 137b (NR) Delayed, autologous
2017 Du 33 China Sci Rep Pr 157 157 NR 74b (52–111) Immediate, implant‐based
2020 Early65 United States of America Clin Breast Cancer Re 337 337 NR (34–70) 45.4a (NR) Immediate and delayed, autologous
2011 Eriksen 34 Sweden Breast Cancer Res Treat Re 300 300 48b (23–70) 144b (48–216) Immediate, implant‐based
2016 Fujimoto 21 Japan Eur J Plast Surg Re 136 144 42a (24–63) 75b (51–129) Immediate, autologous
2018 Geers 8 Belgium BMC Cancer Re 485 485 47b (24–71) 76b (4–152) Immediate and delayed, autologous
2005 Greenway 64 United States of America Am J Surg Re 225 225 50a (25–76) 49a (NR) Immediate, autologous and implant‐based
2020 Ha 58 South‐Korea BMC Cancer Re 496 496

Implant: 41a (SD = 8.73)

Autologous: 43a (SD = 6.99)

Implant: 57.3b (NR) Autologous: 58.3b (NR) Immediate, autologous and implant‐based
2008 Hölmich 20 Denmark Ann Plast Surg Re 580 580 47b (24–72) 121b (12–155) Delayed, implant‐based
2006 Huang 22 China Plast and Reconstr Surg Re 82 83 42.7a (27–58) 40b (24–74) Immediate, autologous
2011 Isern 11 Sweden Br J Surg Re 125 125 45.4a (SD = 7.8) 146b (NR) Delayed, autologous
2010 Kim 23 South‐Korea Ann of Surg Re 520 520 42b (35–50) 63b (NR) Immediate, autologous
2012 Kim 39 South‐Korea World J Surg Oncol Re 65 65 48.4a (21–74) 34a (1.6–89.9) Immediate, autologous
2016 Lee 25 Taiwan PLoS ONE Re 213 213 44.8b (26–60) 85.2a/80b (11–189) Immediate, autologous
2020 Lee 59 South‐Korea Br J Surg Pr 438 438 43.1a (SD = 7.4) 82b (13–131) Immediate, autologous and implant‐based
2018 Lee 26 South‐Korea Medicine (Baltimore) Re 1032 1032 48.1a (23–90) 94.4b (8.1–220.2) Immediate, autologous
2019 Lee 27 South‐Korea Asia J Med Re 118 118 33.0b (23 –35) 86.7b (NR) Immediate, autologous
2012 Lee 24 South‐Korea Arch Plast Surg Pr 1000 1000 42.2a (22–68) 56.4a (3–93) Immediate, autologous
2013 Liang 28 Taiwan World J Surg Oncol Re 249 249 41b (22–62) 53b (24–181) Immediate, autologous
2013 Lindford 13 Finland World J Surg Re 112 125 53b (24–69) 64b (5–111) Delayed, autologous
2010 Lim 63 South‐Korea J Surg Oncol Re 87 87 38.41a (SD = 7.07) 62.52a (8.07–156.73) Immediate, autologous and implant‐based
2017 Maalouf 50 Canada Ann Chir Plast Est Re 62 62

Immediate: 50 a (SD = 9.5)

Delayed: 47 a (SD = 8)

Immediate: 32 b (11–67)

Delayed: 92 b (26–240)

Immediate and delayed, autologous
2008 McCarthy 53 United States of America Plast Reconstr Surg Re 309 309 46.8b (25.6–73.3) 68.4b (2.4–111.6) Immediate, implant‐based
2020 Metere 60 Italy Medicina (Kaunas) Re 894 894 47.5a (22–76) 41.2a (15.7–101) Immediate, implant‐based
2010 Min 4 South‐Korea Breast J Re 120 120 40.7a (26–61) 39.2a (SD = 15.8) Immediate, autologous
2013 Munhoz 54 Brazil Breast Canc Res Treat Re 106 114 51.4a (33–78) 65.6a (6–130) Immediate, implant‐based
2017 Murphy 55 United States of America Am J Surg Pr 226 240 48.5b (43–54) 34b (NR) Immediate, implant‐based
2005 Mustonen 56 Finland Scand J Surg Re 56 56

SSM = 46.8 a (SD = 6.2)

SCM = 47.2 a (SD = 8.0)

SSM = 43.2 a (SD = 9.6)

SCM = 46.8 a (SD = 13.2)

Immediate, autologous
2015 Narui 29 Japan Eur J Surg Oncol Re 201 205 42.2b (23‐64) 36b (NR) Immediate, autologous
2012 Nava 35 Italy Breast Pr 58 59 NR 36a (24–84) Immediate, implant‐based
2014 Ota 36 Japan Clin Breast Cancer Re 133 133 46b (27–49) 47b (NR) Immediate, implant‐based
2020 Ozmen 61 Turkey World J Surg Oncol Re 75 75 42b (24–78) 56b (14–116) Immediate, implant‐based
2016 Park 40 South‐Korea J Breast Cancer Re 189 189 41.98a (SD = 80.8) 65.6b (10–132) Immediate, autologous and implant‐based
2020 Parvez 66 Canada Clin Breast Cancer Re 162 173 47.9a (SD = 11.2) 27b (5–68) Immediate, implant‐based
2012 Patterson 30 United States of America Ann Surg Oncol Re 390 390 49.5a (SD = 8.3) 69.2b (24.1–134.4) Immediate, autologous
2011 Reddy 41 United States of America Ann Plast Surg Re 494 494 47.8b (23.9–72.2) 54a (NR) Immediate, autologous and implant‐based
2012 Romics 42 Scotland Br J Surg Pr 207 207 49b (26–68) 119b (14–163) Immediate, autologous and implant‐based
2016 Sakamoto 57 Japan Breast Cancer Re 404 421

≥40 years: 92

< 40 years: 329

61b (7.2–139) Immediate, implant‐based
2008 Scholz 52 United States of America Plast Reconstr Surg Re 54 54 51.5b (31–69) 42b (12–108) Immediate, autologous
2013 Serra 37 Italy Plast Surg Int Pr 155 155 37.5a (20–52) 47a (12–96) Immediate, implant‐based
2007 Snoj 51 Slovenia Eur J Surg Oncol Re 156 157 45.9b (26–68) 66b (18–277) Immediate and delayed, autologous
2003 Spiegel 43 United States of America Plast Reconstr Surg Re 221 221 42 1 (24–81) 117.6a (72–156) Immediate, autologous and implant‐based
2016 Tanos 44 United Kingdom Plast Reconstr Surg Glob Open Re 88 88

Implant‐based: 48 b (29–75)

Autologous: 50 b (25–70)

Implant‐based: 28.2 b (NR)

Autologous: 27.9b (NR)

Immediate, autologous and implant‐based
2008 Ueda 45 Japan Surgery Re 74 74 45.7a (NR) 50a (NR) Immediate, autologous and implant‐based
2019 Valente 46 United States of America Am J Surg Re 458 586 49b (26–85) 90.48b (65.64–144.96) Immediate, autologous and implant‐based
2007 Vaughan 47 United States of America Am J Surg Re 206 210

Local recurrence: 41 a (31–56)

No recurrence: 43 a (18–75)

58.6a (13.1–132.5) Immediate, autologous and implant‐based
2020 Wu 67 South‐Korea Ann Surg Oncol Re 199 199 43b (20–65) 97b (39–186) Immediate, autologous and implant‐based
2020 Wu 68 South‐Korea JAMA Surg Re 323 323 42b (23–72) 67b (17–125) Immediate, autologous and implant‐based
2020 Yamada 62 Japan J Surg Res Re 239 239 44b (23–65) 73b (NR) Immediate, autologous

Abbreviations: NR, not reported; Pr, prospective; Re, retrospective; SCM, subcutaneous mastectomy; SD, standard deviation; SSM, skin‐sparing mastectomy.

a

Mean.

b

Median.

TABLE 3.

Oncological Characteristics Of Included Study Populations

Year First author AJCC stage (n) T classification (n) Histology (n) ER (n) PR (n) Her2Neu (n)
2014 Adam 48 NR

Tis: NR

T1: 37

T2: 14

T3: 3

T4: 1

Missing: 14

In situ: 14

Invasive: 55

Missing: 0

Positive: 44

Negative: 14

Missing: 11

Positive: 40

Negative: 17

Missing: 12

Positive: 44

Negative: 7

Missing: 18

2018 Adam 19 NR

Tis: 9

T1: 65

T2: 140

T3: 40

T4: 0

Missing: 0

In situ: 9

Invasive: 219

Missing: 19

Positive: 176

Negative: 61

Missing: 17

Positive: 148

Negative: 75

Missing: 31

Positive: 31

Negative: 89

Missing: 134

2019 Bjöhle 38 NR

Tis: 0

T1: 65

T2: 45

T3: 13

T4: 0

Missing: 5

In situ: 0

Invasive: 128

Missing: 0

Positive: 95

Negative: 32

Missing: 1

NR

Positive: 30

Negative: 98

Missing: 0

2006 Caruso 31

0: 8

I: 24

II: 18

III: 1

Missing: 0

NR

In situ: 21

Invasive: 30

Missing: 0

Positive: 37

Negative: 9

Missing: 5

Positive: 32

Negative: 14

Missing: 5

NR
2018 Chen 32

0: 0

I: 6

II: 63

III: 42

Missing: 0

T0–T1: 32

T2: 70

T3: 8

T4: 1

Missing: 0

NR

Positive: 78

Negative: NR

Missing: NR

Positive: 74

Negative: NR

Missing: NR

Positive: 23

Negative: 66

Null: 1

Missing: 21

2017 Cont 49 NR NR NR

Positive: 442

Negative: NR

Missing: 11

Positive: 404

Negative: NR

Missing: 13

Positive: 76

Negative: NR

Missing: 100

2016 Dillekås 9 NR

Tis: 0

T1: 190

T2: 91

T3: 22

T4: 2

Missing: 7

In situ: 0

Invasive: 312

Missing: 0

Positive: 218

Negative: 61

Missing: 33

NR NR
2017 Du 33

0: 0

I: 36

II: 97

III: 24

Missing: 0

NR

In situ: 0

Invasive: 157

Missing: 0

Positive: 113

Negative: 44

Missing: 0

NR

Positive: 53

Negative: 104

Missing: 0

2020 Early 65 NR NR NR NR NR NR
2011 Eriksen 34 NR

Tis: 0

T1: 191

T2: 99

T3: 10

T4: 0

Missing: 0

In situ: NR

Invasive: 291

Missing: 9

Positive: 219

Negative: NR

Missing: 26

Positive: 179

Negative: NR

Missing: 49

NR
2016 Fujimoto 21

0: 48

I: 35

II: 44

III: 7

Missing: 2

Tis: 48

T1: 42

T2: 36

T3: 8

Missing: 2

In situ: 48

Invasive: 88

Missing: 0

Positive: 82

Negative: 26

Missing: 28

NR

Positive: 20

Negative: 101

Missing: 15

2018 Geers 8

I: 45

II: 206

III: 225

Missing: 9

NR

In situ: NR

Invasive: 485

Missing: 0

Positive: 374

Negative: 103

Missing: 8

Positive: 374

Negative: 103

Missing: 8

Positive: 92

Negative: 375

Missing: 18

2005 Greenway 64 0 ‐ II

Tis: 27

T1: 123

T2: 75

T3–T4: 0

Missing: 0

NR NR NR NR
2020 Ha 58

Implant‐based/autologous:

0: 47/57

I: 100/82

II: 73/79

III: 27/31

Missing: 0

NR NR

Implant‐based/autologous:

Positive: 198/206

Negative: 49/43

Missing: 0/0

Implant‐based/autologous:

Positive: 171/173

Negative: 76/76

Missing: 0/0

Implant‐based/autologous:

Positive: 56/44

Negative: 174/193

Missing: 17/12

2008 Hölmich 20 NR

T1: 370

T2–T4: 188

Missing: 22

In situ: NR

Invasive: 548

Missing: 32

NR NR NR
2006 Huang 22

0: 0

I: 4

II: 64

III: 14

NR

In situ: NR

Invasive: 82

Missing: 0

Positive: 36

Negative: 37

Missing: 9

Positive: 28

Negative: 48

Missing: 9

NR
2011 Isern 11 NR

Tis: 0

T1: 60

T2: 60

T3: 5

T4: 0

Missing: 0

In situ: 0

Invasive: 125

Missing: 0

Positive: 105

Negative: 20

Missing: 0

Positive: 90

Negative: 34

Missing: 1

Positive: 23

Negative: 101

Missing: 1

2010 Kim 23

0: 84

I: 220

II: 176

III: 40

NR NR

Positive: 324

Negative: 180

Missing: 10

NR

0–2: 341

3: 158

Missing: 21

2012 Kim 39

0: 15

I: 29

II: 20

III: 1

Tis: 15

T1: 30

T2: 20

T3–T4: 0

Missing: 0

In situ: 15

Invasive: 50

Missing: 0

NR NR NR
2016 Lee 25

0: 0

I: 0

II: 121

III: 92

Tis: 0

T1: 48

T2: 134

T3: 24

T4: 7

Missing: 0

In situ: 0

Invasive: 213

Missing: 0

Positive: 113

Negative: 83

Missing: 17

Positive: 95

Negative: 99

Missing: 19

NR
2020 Lee 59

0: 116

I–III: 332

Tis: 116

T1–T4: NR

In situ: 116

Invasive: 332

Missing: 0

Positive: 341

Negative: 97

Missing: 0

Positive: 320

Negative: 118

Missing: 0

Positive: 169

Negative: 269

Missing: 0

2018 Lee 26

0: 164

I: 382

II: 399

III: 87

NR NR

Positive: 656

Negative: 338

Missing: 38

Positive: 616

Negative: 378

Missing: 38

Positive: 332

Negative: 644

Missing: 56

2019 Lee 27

0: 0

I: 54

II: 50

III: 14

NR

In situ: 0

Invasive: 118

Missing: 0

Positive: 72

Negative: 47

Missing: 0

Positive: 61

Negative: 58

Missing: 0

Positive: 47

Negative: 72

Missing: 0

2012 Lee 24

0: 173

I: 362

II: 371

III: 93

NR NR NR NR NR
2013 Liang 28

0: 0

I: 32

II: 132

III: 85

Tis: 0

T1: 110

T2: 130

T3: 6

T4: 3

Missing: 0

In situ: 0

Invasive: 249

Missing: 0

Positive: 162

Negative: 22

Missing: 65

Positive: 137

Negative: 112

Missing: 0

NR
2013 Lindford 13 NR

Tis: 0

T1: 46

T2: 56

T3: 6

T4: 3

Missing: 1

In situ: 0

Invasive: 112

Missing: 0

Positive: 92

Negative: 20

Missing: 0

Positive: 73

Negative: 39

Missing: 0

Positive: 20

Negative: 80

Missing: 12

2010 Lim 63

0: 0

I: 0

II: 8

III: 79

T1: 13

T2: 48

T3: 26

In situ: NR

Invasive: 87

Missing: 0

“Hormone receptor”:

Positive: 65

Negative: 22

Missing: 0

“Hormone receptor”:

Positive: 65

Negative: 22

Missing: 0

Positive: 26

Negative: 57

Missing: 4

2017 Maalouf 50

Immediate/delayed:

0: 1/0

I: 5/9

II: 16/12

III: 8/11

Missing: 0

NR

Immediate/delayed:

In situ: 1/0

Invasive: 29/32

Missing: 0/0

Immediate/delayed:

Positive: 20/24

Negative/missing: NR/NR

Immediate/delayed:

Positive: 17/22

Negative/missing: NR/NR

Immediate/delayed:

Positive: 5/3

Negative/missing: NR/NR

2008 McCarthy 53

0: 0

I: 98

II: 164

III: 47

NR

In situ: 0

Invasive: 309

Missing: 0

Positive: 189

Negative: 77

Missing: 43

Positive: 157

Negative: 106

Missing: 46

NR
2020 Metere 60

0: NR

I–II: 75.2%

III: NR

NR

In situ: 232

Invasive: 662

Missing: 0

Positive: 779

Negative: 115

Missing: 0

Positive: 729

Negative: 165

Missing: 0

Positive: 71

Negative: 823

Missing: 0

2010 Min 4

0: 22

I: 48

II: 31

III: 13

Missing: 0

NR

In situ: 22

Invasive: 98

Missing: 0

“Hormone receptor”:

Positive: 76

Negative: 40

Missing: 4

“Hormone receptor”:

Positive: 76

Negative: 40

Missing: 4

NR
2013 Munhoz 54 NR

Tis: 0

T1: 78

T2: 28

T3–T4: 0

Missing: 0

NR NR NR NR
2017 Murphy 55 NR

T0–Tis: 73

T1: 109

T2: 47

T3: 11

T4: 0

Missing: 0

DCIS: 63

Invasive: 168

Other: 9

Positive: 205

Negative: 30

Missing: 5

NR

Positive: 18

Negative: 147

Missing: 15

2005 Mustonen 56 NR NR NR NR NR NR
2015 Narui 29

0: 83

I: 45

II: 63

III: 10

Missing: 0

NR

DCIS: 83

Invasive: 120

Other: 2

Positive: 107

Negative: 13

Missing: 85

NR

Positive: 14

Negative: 106

Missing: 85

2012 Nava 35

0: 8

I: 24

II: 18

III: 9

Missing: 0

Tis: 8

T1: 35

T2: 12

T3: 1

T4: 0

Missing: 3

In situ: 8

Invasive: 51

Missing: 0

Positive: 38

Negative: 10

Missing: 11

Positive: 38

Negative: 10

Missing: 11

Positive: 12

Negative/missing: NR

2014 Ota 36 NR

Tis–T3: 128

T4: 5

Missing: 0

In situ: 20

Invasive: 113

Missing: 0

“Hormone receptor”:

Positive: 114

Negative: 19

Missing: 0

“Hormone receptor”:

Positive: 114

Negative: 19

Missing: 0

NR
2020 Ozmen 61

0: 0

I–III: NR

Tis: 0

T1: 44

T2: 27

T3: 4

T4: 0

Missing: 0

In situ: 0

Invasive: 75

Missing: 0

Positive: 64

Negative: 11

Missing: 0

Positive: 57

Negative: 18

Missing: 0

Positive: 15

Negative: 57

Missing: 0

2016 Park 40

0: 0

I: 101

II: 66

III: 22

Missing: 0

Tis: 0

T1: 121

T2: 52

T3: 13

T4: 3

Missing: 0

In situ: 0

Invasive: 189

Missing: 0

Positive: 129

Negative: 60

Missing: 0

Positive: 100

Negative: 89

Missing: 0

Positive: 55

Negative: 113

Missing: 21

2020 Parvez 66 NR

Tis: 31

T1: 83

T2: 51

T3: 10

T4: 0

Missing: 0

In situ: NR

Invasive: 144

Missing: 31

“Hormone receptor”:

Positive: 103

Negative: 41 Missing: 31

“Hormone receptor”:

Positive: 103

Negative: 41 Missing: 31

Positive: 24

Negative: 120

Missing: 31

2012 Patterson 30

0–II: 312

III: 70

Missing: 0

NR

In situ: 100

Invasive: 254

Missing: 36

Positive: 215

Negative: 88

Missing: 87

Positive: 193

Negative: 110

Missing: 87

NR
2011 Reddy 41

0: 119

I: 183

II: 114

III: 43

NR NR

Positive: 295

Negative: 90

Missing: 109

Positive: 128

Negative: 74

Missing: 292

Positive: 83

Negative: 209

Missing: 202

2012 Romics 42

0: 54

I: 57

II: 83

III: 13

Tis: 54

T1: 94

T2: 52

T3: 6

T4: 1

Missing: 0

In situ: 54

Invasive: 153

Missing: 0

Positive: 119

Negative: 34

Missing: 54

NR NR
2016 Sakamoto 57

0: 117

I: 149

II: 141

III: 14

NR

In situ: 117

Invasive: 304

Missing: 0

Positive: 333

Negative: 71

Missing: 17

NR

Positive: 57

Negative: 231

Missing: 133

2008 Scholz 52

0: 23

I: 17

II: 14

III: 0

Missing: 0

NR

In situ: 23

Invasive: 31

Missing: 0

NR NR NR
2013 Serra 37 NR

Tis: 23

T1: 36

T2: 96

T3–T4: 0

Missing: 0

In situ: 23

Invasive: 132

Missing: 0

NR NR NR
2007 Snoj 51 NR

Tis: 0

T1: 78

T2: 61

T3: 15

Missing: 3

In situ: 0

Invasive: 157

Missing: 0

Positive: 99

Negative: 53

Missing: 5

Positive: 84

Negative: 67

Missing: 6

NR
2003 Spiegel & Butler 43 NR NR

In situ: 44

Invasive: 177

Missing: 0

NR NR NR
2016 Tanos 44

0–I: 0

III: 88

Missing: 0

NR

In situ: 0

Invasive: 88

Missing: 0

NR NR NR
2008 Ueda 45 NR

Tis: 7

T1: 32

T2: 33

T3: 2

T4: 0

Missing: 0

In situ: 7

Invasive: 67

Missing: 0

NR NR NR
2019 Valente 46

0: 0

I: 208

II: 189

III: 61

Missing: 0

Tis: 0

T1: 272

T2: 151

T3: 27

T4: 8

Missing: 0

In situ: 0

Invasive: 458

Missing: 0

Positive: 350

Negative: 106

Missing: 2

NR

Positive: 87

Negative/missing: NR

2007 Vaughan 47

0: 40

I: 41

II: 65

III: 64

Missing: 0

Tis/T1: 107

T2: 80

T3: 13

T4: 10

Missing: 0

NR NR NR NR
2020 Wu 67

0: 199

Missing: 0

Tis: 199

Missing: 0

In situ: 199

Missing: 0

Positive: 173

Negative: 21

Missing: 5

Positive: 155

Negative: 39

Missing: 5

Positive: 47

Negative: 147

Missing: 5

2020 Wu 68 NR

Tis/T0: 44

T1: 122

T2: 115

T3: 42

T4: 0

Missing: 0

In situ: NR

Invasive: 316

Other: 7

“Hormone receptor”:

Positive: 234

Negative: 89

Missing: 0

“Hormone receptor”:

Positive: 234

Negative: 89

Missing: 0

Positive: 114

Negative: 209

Missing: 0

2020 Yamada 62

0: 101

I: 54

II: 73

III: 11

Missing: 0

NR

In situ: 65

Invasive: 174

Missing: 0

Positive: 153

Negative: 21

Missing: 65

NR

Positive: 26

Negative: 148

Missing: 65

Abbreviations: AJCC, American Joint Committee on Cancer; DCIS, ductal carcinoma in situ; ER, estrogen receptor; NR, not reported; PR, progesterone receptor.

TABLE 4.

Treatment Characteristics Of Included Study Populations

Year First author Mastectomy type Chemotherapya Radiotherapya Hormone therapy 1
2014 Adam 48

Skin‐ and nipple‐sparing: 69

Missing: 0

Neo‐adjuvant/adjuvant:

Yes: 6/19

No/missing: NR/NR

Yes: 22

No/missing: NR

Yes: 41

No/missing: NR

2018 Adam 19 NR

Neo‐adjuvant/adjuvant:

Yes: 94/157

No: 160/96

Missing: 0/1

Yes: 209

No: 44

Missing: 1

Yes: 191

No: 63

Missing: 1

2019 Bjöhle 38 NR

Neo‐adjuvant/adjuvant:

Yes: 31/79

No: 97/48

Missing: 0/1

Yes: 128

No: 0

Missing: 0

Yes: 95

No: 32

Missing: 1

2006 Caruso 31

Skin‐ and nipple‐sparing: 51

Missing: 0

Yes: 12

No: 39

Missing: 0

Yes: 3

No: 48

Missing: 0

Yes: 21

No: 30

Missing: 0

2018 Chen 32 NR

Yes: 110

No: NR

Missing: 0

Yes: 111

No: NR

Missing: 0

Yes: 77

No: NR

Missing: 0

2017 Cont 49

Skin‐ and nipple‐sparing: 518

Missing: 0

Yes: 253

No/missing: NR

Yes: 94

No/missing: NR

Yes: 420

No/missing: NR

2016 Dillekås 9 NR

Yes: 143

No: 144

Missing: 25

NR

Yes: 136

No: 117

Missing: 59

2017 Du 33

Skin‐ and nipple‐sparing: 157

Missing: 0

NR

Yes: 18

No/missing: NR

NR
2020 Early 65 Conventional mastectomy, skin‐sparring mastectomy, and nipple‐areola skin‐sparing mastectomy: NR NR NR NR
2011 Eriksen 34 NR

Neo‐adjuvant/adjuvant:

Yes: 39/132

No: NR/NR

Missing: 0/8

Yes: 99

No: NR

Missing: 11

Yes: 209

No: NR

Missing: 17

2016 Fujimoto 21

Skin‐ and nipple‐sparing: 136

Skin‐sparing: 36

Missing: 0

Neo‐adjuvant:

Yes: 25

No/missing: NR

NR NR
2018 Geers 8 NR NR NR NR
2005 Greenway 64

Skin‐sparing: 225

Missing: 0

NR NR NR
2020 Ha 58

Implant‐based/autologous:

Skin‐ and nipple‐sparing: 68/58

Skin‐sparing: 64/84

Total/conventional mastectomy: 115/107

Missing: 0/0

Implant‐based/autologous:

Yes: 136/132

No: 111/117

Missing: 0/0

Implant‐based/autologous:

Yes: 51/48

No: 195/200

Missing: 1/1

NR
2008 Hölmich 20 NR

Yes: 165

No/M: NR

Missing: NR

Yes: 116

No: 464

Missing: 0

Yes: 24

No: NR

Missing: NR

2006 Huang 22

Modified radical mastectomy: 82

Missing: 0

Yes: 82

No: 0

Missing: 0

Yes: 82

No: 0

Missing: 0

''All patients with ER‐ or PR‐positive receptor''
2011 Isern 11 NR

Yes: 48

No: 77

Missing: 0

Yes: 109

No: 16

Missing: 0

Yes: 33

No: 92

Missing: 0

2010 Kim 23

Skin‐ and nipple‐sparing: 152

Skin‐sparing: 368

Missing: 0

NR

Yes: 38

No/missing: NR

NR
2012 Kim 39

Skin‐sparing: 65

Missing: 0

Yes: 29

No: 36

Missing: 0

Yes: 1

No: 64

Missing: 0

Yes: 50

No: 15

Missing: 0

2016 Lee 25

Modified radical mastectomy: 213

Missing: 0

Yes: 213

No: 0

Missing: 0

Yes: 213

No: 0

Missing: 0

''All hormonal receptor‐positive patients''
2020 Lee 59

Skin‐ and nipple‐sparing: 111

Skin‐sparing: 327

Missing: 0

Neo‐adjuvant/adjuvant:

Yes: 29/182

No: NR Missing: NR

Yes: 52

No/missing: NR

NR
2018 Lee 26

Skin‐ and nipple‐sparing: 1032

Missing: 0

Yes: 603

No: 423

Missing: 6

Yes: 87

No: 940

Missing: 5

Yes: 648

No: 377

Missing: 7

2019 Lee 27

Skin‐sparing: 118

Missing: 0

Yes: 93

No: 26

Missing: 0

Yes: 17

No: 102

Missing: 0

Yes: 80

No: 39

Missing: 0

2012 Lee 24

Skin‐ and nipple‐sparing: 361

Skin‐sparing: 510

Modified radical mastectomy: 29

Missing: 100

NR NR NR
2013 Liang 28

Skin‐sparing: 249

Missing: 0

Neo‐adjuvant/adjuvant:

Yes: 16/196

No: NR/NR

Missing: NR/0

Yes: 32

No/missing: NR

Yes: 126

No/missing: NR

2013 Lindford 13

Nonskin‐sparing: 112

Missing: 0

Yes: 91

No: 21

Missing: 0

Yes: 76

No: 36

Missing: 0

Yes: 83

No: 29

Missing: 0

2010 Lim 63

Skin‐ and nipple‐sparing: 14

Skin‐sparing: 73

Missing: 0

Yes: 86

No: 1

Missing: 0

Yes: 49

No: 38

Missing: 0

Yes: 65

No: 22

Missing: 0

2017 Maalouf 50

Skin‐sparing: 40

Modified radical mastectomy: 22

Missing: 0

Immediate/delayed:

Yes: 24/22

No/missing: NR/NR

Immediate/delayed:

Yes: 30/32

No/missing: NR/NR

Immediate/delayed:

Yes: 17/23

No/missing: NR/NR

2008 McCarthy 53 NR

Yes: 238

No: 69

Missing: 2

Yes: 67

No: 236

Missing: 303

NR
2020 Metere 60

Skin‐ and nipple‐sparing: 894

Missing: 0

Neo‐adjuvant/adjuvant:

Yes: 215/264

No/missing: NR/NR

Yes: 87

No/missing: NR

NR
2010 Min 4 NR

Neo‐adjuvant:

Yes: 9

No: 111

Missing: 0

Yes: 72

No: 48

Missing: 0

NR
2013 Munhoz 54

Skin‐ and nipple‐sparing: 106

Missing: 0

Yes: 28

No/missing: NR

Yes: 10

No/missing: NR

NR
2017 Murphy 55

Skin‐ and nipple‐sparing: 240

Missing: 0

NR NR NR
2005 Mustonen 56

Skin‐ and nipple‐sparing: 21

Subcutaneous: 34

Nonskin‐sparing: 1

Missing: 0

NR NR NR
2015 Narui 29

Skin‐ and nipple‐sparing: 152

Skin‐sparing: 53

Missing: 0

Yes: 43

No/missing: NR

Yes: 15

No/missing: NR

Yes: 120

No/missing: NR

2012 Nava 35

Skin‐ and nipple‐sparing: 59

Missing: 0

Yes: 26

No/missing: NR

Yes: 10

No/missing: NR

Yes: 38

No/missing: NR

2014 Ota 36

Skin‐ and nipple‐sparing: 2

Skin‐sparing: 131

Missing: 0

Yes: 60

No: 73

Missing: 0

Yes: 2

No/missing: NR

Yes: 91

No: 42

Missing: 0

2020 Ozmen 61

Skin‐ and nipple‐sparing: 75

Missing: 0

NR

Yes: 23

No/missing: NR

NR
2016 Park 40

Skin‐ and nipple‐sparing: 36

Skin‐sparing: 78

Total/conventional mastectomy: 75

Missing: 0

Yes: 136

No: 53

Missing: 0

Yes: 19

No: 170

Missing: 0

NR
2020 Parvez 66

Skin‐ and nipple‐sparing: 175

Missing: 0

Yes: 49

No/missing: NR

Yes: 40

No/missing: NR

NR
2012 Patterson 30

Skin‐sparing: 170

Modified radical mastectomy: 142

Total/conventional mastectomy: 78

Missing: 0

Yes: 105

No/missing: NR

Yes: 51

No/missing: NR

Yes: 65

No/missing: NR

2011 Reddy 41 NR

Yes: 181

No: 313

Missing: 0

Yes: 135

No: 359

Missing: 0

Yes: 232

No: 262

Missing: 0

2012 Romics 42

Skin‐sparing: 207

Missing: 0

Yes: 100

No: 107

Missing: 0

Yes: 72

No: 81

Missing: 54

Yes: 126

No: 27

Missing: 54

2016 Sakamoto 57

Skin‐ and nipple‐sparing: 421

Missing: 0

Yes: 181

No: 240

Missing: 0

Yes: 54

No: 367

Missing: 0

Yes: 285

No: 136

Missing: 0

2008 Scholz 52

Skin‐sparing: 54

Missing: 0

NR NR NR
2013 Serra 37

Skin‐sparing: 155

Missing: 0

Yes: 87

No/missing: NR

NR

Yes: 68

No/missing: NR

2007 Snoj 51

Skin‐sparing: 25

Nonskin‐sparing: 132

Missing: 0

Yes: 73

No/missing: NR

Yes: 36

No/missing: NR

Yes: 68

No/missing: NR

2003 Spiegel 43

Skin‐sparing: 221

Missing: 0

NR NR NR
2016 Tanos 44 NR NR NR NR
2008 Ueda 45

Skin‐ and nipple‐sparing: 33

Skin‐sparing: 41

Missing: 0

Yes: 16

No/missing: NR

Yes: 2

No/missing: NR

Yes: 43

No/missing: NR

2019 Valente 46 NR

Yes: 292

No/missing: NR

Yes: 103

No/missing: NR

NR
2007 Vaughan 47

Skin‐sparing: 210

Missing: 0

NR

Yes: 42

No/missing: NR

NR
2020 Wu 67

Skin‐ and nipple‐sparing: 199

Missing: 0

NR

Yes 0

No: 199

Missing: 0

Yes: 15

No: 184

Missing: 0

2020 Wu 68

Skin‐ and nipple‐sparing: 187

Skin‐sparing: 136

Missing: 0

Yes: 44

No: 279

Missing: 0

“Chest wall”:

Yes: 191

No: 132

Missing: 0

Yes: 239

No: 84

Missing: 0

2020 Yamada 62

Skin‐ and nipple‐sparing: 172

Skin‐sparing: 67

Missing: 0

Yes: 75

No: 164

Missing: 0

Yes: 16

No: 226

Missing: 0

Yes: 170

No: 69

Missing: 0

Abbreviations: ER, estrogen receptor; NR, not reported; PR, progesterone receptor.

a

Neoadjuvant and/or adjuvant.

Discordances in study selection, quality assessment, and data extraction were resolved by discussion by two authors (C.A.B. and M.I.). In case of disagreement, a third author (D.A.Y.‐A.) was involved in reaching consensus.

Data analysis

For all studies, one or more of the primary outcomes of interest were reported. Proportions of recurrence and distant metastasis were pooled in a generalized linear mixed model (GLMM) and presented as forest plots. Publication bias was considered acceptable if the distribution of studies was symmetrical on visual inspection of the funnel plots. The variability in point estimates attributable to heterogeneity was assessed using the Higgin's and Thompson's I 2‐statistic, which was tolerable if I 2 values were low or moderate (<75%). 17 Based on I 2 values, analyses for the primary outcomes were conducted using random effects models. Weighted averages were reported as proportions with 95% confidence intervals (95% CI). Variances of distribution of true proportions among subgroups (between‐study variances) were reported using the maximum‐likelihood estimator for tau 2 (T2). T2 reflects the absolute value of true heterogeneity across the population of studies included in the subgroup analyses. When no variance between studies is observed, T2 is low or 0. 18 Differences in weighted average proportions after delayed versus immediate breast reconstruction were evaluated among subgroups by comparing 95% CIs. In case of overlapping 95% CIs, differences were not considered statistically significant. Statistical analyses were performed in the R software environment (R Foundation of Statistical Computing).

RESULTS

Search results and synthesis of evidence

After removing 1277 duplicates, the literature search yielded 3049 unique studies (Fig. 1). After title and abstract screening, full texts of 371 studies were assessed for eligibility. Finally, 48 studies 4 , 9 , 11 , 13 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 met the inclusion criteria. Additional data was requested for 65 studies (Table S2) of whom seven (10.8%) 8 , 60 , 63 , 64 , 65 , 66 , 67 , 68 provided data, enabling inclusion of these studies in analyses. In total, 55 studies 4 , 8 , 9 , 11 , 13 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 were selected for qualitative synthesis (Tables 2, 3, 4). Quantitative synthesis included 37 studies 4 , 8 , 9 , 11 , 13 , 19 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 50 , 51 , 52 , 56 , 58 , 59 , 62 , 63 , 64 , 65 , 67 , 68 on autologous PMBR (Figs. 2A‐E; Table S3a) and 28 studies 20 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 41 , 42 , 43 , 46 , 47 , 48 , 49 , 53 , 54 , 55 , 57 , 58 , 59 , 60 , 61 , 64 , 66 , 67 , 68 on implant‐based PMBR (Figs. 3AE; Table S3b).

FIGURE 3.

FIGURE 3

Forest plots of local, regional, locoregional, distant and total breast cancer recurrences after immediate and delayed implant‐based breast reconstruction. The first column shows the included studies by year of publication and first author. The second and third columns show the total number of recurrences and the total study population, respectively. The fourth column shows the recurrence rates with 95% CIs of each study. On the right, each study corresponds to a red square centered at the point estimate (i.e., recurrence rate) with black horizontal lines indicating the 95% CI. Powerful studies (i.e., studies with more participants) have a narrower 95% CI. The overall weighted recurrence rates are represented by the black diamonds. The width of the diamond represents the 95% CI for the overall weighted recurrence rate. The vertical lines highlight study‐specific deviations from the overall weighted recurrence rates. 95% CI indicates 95% confidence interval; 95% CIGLMM, 95% confidence interval generalized linear mixed models; DBR, delayed breast reconstruction; df, degrees of freedom; GLMM, generalized linear mixed models; IBR, immediate breast reconstruction; P, p value. (A) Forest plot of local recurrences after immediate implant‐based breast reconstruction. No studies were available on local recurrences after delayed implant‐based breast reconstruction. (B) Forest plot of regional recurrences after immediate implant‐based breast reconstruction. No studies were available on regional recurrences after delayed implant‐based breast reconstruction. (C) Forest plot of locoregional recurrence after immediate and delayed implant‐based breast reconstruction. (D) Forest plot of distant metastasis after immediate and delayed implant‐based breast reconstruction. (E) Forest plot of total breast cancer recurrences after immediate and delayed implant‐based breast reconstruction.

Study characteristics and quality of evidence

All included studies were published between February 2003 43 and October 2020 68 (Table 2). Among the 55 studies, 48 studies (87.3%) 4 , 8 , 9 , 11 , 13 , 19 , 20 , 21 , 22 , 23 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 34 , 36 , 38 , 39 , 40 , 41 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 56 , 57 , 58 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 were retrospective and seven (12.7%) 24 , 33 , 35 , 37 , 42 , 55 , 59 were prospective. The quality of included studies ranged from 6 to 12 points for noncomparative studies, and from 10 to 20 points for comparative studies (Table 1).

TABLE 1.

Risk Of Bias Appraisal Following The Methological Index For Non‐Randomized Studies (Minors) Criteria

graphic file with name CNCR-128-3449-g001.jpg

Abbreviation: MINORS, methodological index for non‐randomized studies.

Note: Each item was scored 0–2 points: 0 indicates that this item was not reported in the article, 1 indicates that it was reported, but inadequately, and 2 indicates that it was reported adequately. A higher total score corresponds with less risk of bias. Green, 2 points; yellow, 1 point; red, 0 points.

Study population

The 55 studies evaluated 14,452 patients, including 12,480 PMBRs performed in an immediate setting, 1852 in a delayed setting, and for 337, 65 the setting was unclear (Tables 2, 3, 4). Median sample size per study was 138 patients (interquartile range, 77–249). Mean/median age ranged from 33 to 53 years old. Mean/median follow‐up time ranged from 27 to 146 months. The majority of patients (n = 11,429, 80.4%) were diagnosed with invasive breast cancer.

Immediate versus delayed autologous PMBR

A total of 31 studies 4 , 9 , 13 , 19 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 39 , 40 , 42 , 44 , 45 , 47 , 50 , 51 , 52 , 56 , 59 , 62 , 63 , 64 , 65 , 67 , 68 included local recurrence as an outcome (Fig. 2A, I 2 = 51.7% [95% CI, 27.9%–67.6%]), 28 of which 4 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 39 , 40 , 42 , 44 , 45 , 47 , 50 , 51 , 52 , 56 , 59 , 62 , 63 , 64 , 65 , 67 , 68 (T 2  = 0.29) reported on immediate autologous post‐mastectomy breast reconstruction (I‐ABR) and five studies 9 , 13 , 19 , 50 , 65 (T 2  = 0.24) on delayed autologous post‐mastectomy breast reconstruction (D‐ABR). In the I‐ABR group, 163 of 6,249 patients (2.6%) developed local recurrence, and in the D‐ABR group 22 of 1037 patients (2.1%) developed local recurrence (Table S3a). The weighted average proportion for local recurrence in the I‐ABR group was 0.03 (95% CI, 0.02–0.03), and 0.02 (95% CI, 0.01–0.04) in the D‐ABR group.

FIGURE 2.

FIGURE 2

Forest plots of local, regional, locoregional, distant, and total breast cancer recurrences after immediate and delayed autologous breast reconstruction. The first column shows the included studies by year of publication and first author. The second and third columns show the total number of recurrences and the total study population, respectively. The fourth column shows the recurrence rates with 95% CIs of each study. On the right, each study corresponds to a red square centered at the point estimate (i.e., recurrence rate) with black horizontal lines indicating the 95% CI. Powerful studies (i.e., studies with more participants) have a narrower 95% CI. The overall weighted recurrence rates are represented by the black diamonds. The width of the diamond represents the 95% CI for the overall weighted recurrence rate. The vertical lines highlight study‐specific deviations from the overall weighted recurrence rates. 95% CI indicates 95% confidence interval; 95% CIGLMM, 95% confidence interval generalized linear mixed models; DBR, delayed breast reconstruction; df, degrees of freedom; GLMM, generalized linear mixed models; IBR, immediate breast reconstruction; P, p value. (A) Forest plot of local recurrences after immediate and delayed autologous breast reconstruction. (B) Forest plot of regional recurrence after immediate and delayed autologous breast reconstruction. (C) Forest plot of locoregional recurrence after immediate and delayed autologous breast reconstruction. (D) Forest plot of distant metastasis after immediate and delayed autologous breast reconstruction. (E) Forest plot of total breast cancer recurrence after immediate and delayed autologous breast reconstruction.

Fourteen studies 9 , 13 , 19 , 21 , 22 , 24 , 26 , 28 , 30 , 39 , 40 , 52 , 56 , 62 reported on regional recurrence (Fig. 2B, I 2 = 40.1% [95% CI, 0.0%–68.2%]). Eleven studies 21 , 22 , 24 , 26 , 28 , 30 , 39 , 40 , 52 , 56 , 62 (T 2  = 0.19) included 3454 patients with I‐ABR, and three studies 9 , 13 , 19 (T 2  = 0) included 674 patients with D‐ABR (Table S3a). In the I‐ABR group, 83 (2.4%) regional recurrences occurred, and 14 (2.1%) in the D‐ABR group. Their weighted average proportions were 0.02 (95% CI, 0.01–0.03) and 0.02 (95% CI, 0.01–0.03), respectively.

Locoregional recurrence after autologous PMBR was reported by 16 studies 8 , 13 , 21 , 22 , 28 , 30 , 40 , 41 , 42 , 52 , 58 , 63 , 64 , 65 , 67 , 68 (Fig. 2C, I 2 = 72.2% [95% CI, 55.3%–82.6%]). Of those, 15 studies 8 , 21 , 22 , 28 , 30 , 40 , 41 , 42 , 52 , 58 , 63 , 64 , 65 , 67 , 68 reported on I‐ABR (T 2  = 0.40), and the weighted average proportion of locoregional recurrences was 0.04 (95% CI, 0.03–0.06). In the three studies that reported on D‐ABR 8 , 13 , 65 (T 2  = 0.86), the weighted average proportion of locoregional recurrence was 0.01 (95% CI, <0.01–0.03).

Twenty‐five studies 4 , 8 , 9 , 13 , 19 , 21 , 22 , 24 , 25 , 26 , 28 , 29 , 30 , 40 , 41 , 42 , 50 , 52 , 56 , 62 , 63 , 64 , 65 , 67 , 68 (Fig. 2D, I 2 = 86.0% [95% CI, 80.9%–89.8%]) reported occurrence of distant metastasis after autologous PMBR, of which 22 studies 4 , 8 , 21 , 22 , 24 , 25 , 26 , 28 , 29 , 30 , 40 , 41 , 42 , 50 , 52 , 56 , 62 , 63 , 64 , 65 , 67 , 68 (T 2  = 0.85) included 5476 patients with I‐ABR, and 6 studies 8 , 9 , 13 , 19 , 50 , 65 (T 2  = 0.75) included 1380 patients with D‐ABR (Fig. 1D). In total, 368 of 5476 patients (6.7%) developed distant metastasis after I‐ABR, and 125 of 1380 patients (9.1%) developed distant metastasis after D‐ABR (Table S3a). The heterogeneity among these studies was too high to pool the results. Therefore, no weighted average proportion is reported.

Finally, 26 studies 8 , 9 , 11 , 13 , 19 , 21 , 24 , 26 , 28 , 29 , 30 , 40 , 41 , 42 , 43 , 46 , 52 , 56 , 58 , 59 , 62 , 63 , 64 , 65 , 67 , 68 reported total breast cancer recurrence in autologous PMBR (Fig. 2E, I 2 = 89.7% [95% CI, 86.6%–92.5%]). Twenty‐two studies 8 , 21 , 24 , 26 , 28 , 29 , 30 , 40 , 41 , 42 , 43 , 46 , 52 , 56 , 58 , 59 , 62 , 63 , 64 , 65 , 67 , 68 (T 2  = 0.50), representing 5723 patients after I‐ABR, reported 578 recurrences (10.1%, Table S3a). Six studies 8 , 9 , 11 , 13 , 19 , 65 (T 2  = 0.50), including 1473 patients after D‐ABR, reported 191 recurrences (13.0%). Again, the high heterogeneity among these studies did not allow pooling of the data.

In conclusion, delayed autologous PMBR did not lead to different local, regional, and locoregional breast cancer recurrence rates than immediate autologous PMBR. Although it seems that there are no statistically significant differences in distant metastasis or overall breast cancer recurrence rates between immediate and delayed autologous PMBR, we could not calculate reliable weighted average proportions for these outcome measures due to a too high heterogeneity among the studies. Therefore, it was not possible to draw a solid conclusion on whether delayed autologous PMBR leads to higher distant metastasis and total breast cancer recurrence rates than immediate autologous PMBR.

Immediate versus delayed implant‐based PMBR

In total, 22 studies 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 42 , 47 , 48 , 49 , 54 , 55 , 57 , 59 , 60 , 61 , 64 , 66 , 67 , 68 reported local recurrence after immediate implant‐based post‐mastectomy breast reconstruction (I‐IBR) (Fig. 3A, I 2 = 42.1% [95% CI, 3.8%–65.1%]). These studies (T 2  = 0.27) included 4121 patients, of whom 146 (3.5%) developed local recurrences (Table S3b). The weighted average proportion of local recurrences was 0.03 (95% CI, 0.02–0.04).

Proportions of regional recurrences after I‐IBR were reported in 10 studies 31 , 33 , 34 , 35 , 38 , 48 , 55 , 57 , 60 , 66 (I 2 = 61.2% [95% CI, 22.6%–80.5%]), including 79 regional recurrences in 2446 patients (3.2%) (Fig. 3B; Table S3b). The weighted average proportion of regional recurrences was 0.02 (95% CI, 0.01–0.04).

Fifteen studies 20 , 31 , 32 , 33 , 35 , 41 , 42 , 53 , 55 , 57 , 58 , 60 , 64 , 67 , 68 (I 2 = 56.4% [95% CI, 22.4%–75.5%]) reported locoregional recurrences after implant‐based PMBR (Fig. 3C). Fourteen studies 31 , 32 , 33 , 35 , 41 , 42 , 53 , 55 , 57 , 58 , 60 , 64 , 67 , 68 included 2793 patients in the I‐IBR group, of whom 139 patients (5.0%) developed locoregional recurrences (Table S3b). Their weighted average proportion was 0.03 (95% CI, 0.01–0.05). One study 20 reported 49 locoregional recurrences in 580 patients (8.4%) after delayed implant‐based post‐mastectomy breast reconstruction (D‐IBR), representing a proportion of 0.08 (95% CI, 0.06–0.11).

Eighteen studies 20 , 31 , 33 , 34 , 35 , 36 , 38 , 41 , 42 , 48 , 54 , 55 , 57 , 60 , 64 , 66 , 67 , 69 (Fig. 3D, I 2 = 88.6% [95% CI, 83.5%–92.1%) described the occurrence of distant metastasis after implant‐based PMBR, of which 17 31 , 33 , 34 , 35 , 36 , 38 , 41 , 42 , 48 , 54 , 55 , 57 , 60 , 64 , 66 , 67 , 69 reported distant metastases after I‐IBR (T 2  = 0.55); in total, 177 of 3022 patients (5.9%) developed distant metastases after I‐IBR (Table S3b). However, the high heterogeneity among these studies did not allow pooling of the data. One study 20 reported 86 distant metastases in 580 patients (14.8%) after D‐IBR, representing a proportion of 0.15 (95% CI, 0.12–0.18).

Twenty studies 20 , 31 , 33 , 34 , 35 , 36 , 38 , 41 , 42 , 43 , 46 , 48 , 53 , 57 , 58 , 59 , 64 , 66 , 67 , 68 (I 2 = 89.2% [95% CI, 84.7%–92.3%]) reported overall recurrences after implant‐based PMBR, of which 19 studies48,50–53,55,58–60,63,65,70,74–76,89,98,100,109 (T 2  = 0.32) reported data on a3018 patients after I‐IBR (Fig. 3E) with 353 recurrences (11.7%) (Table S3b). High heterogeneity did not allow pooling of the data. One study 20 reported 145 (25.0%) overall recurrences among 580 patients after D‐IBR (0.25 [95% CI, 0.22–0.29]).

In summary, the data were too heterogenous to calculate weighted average proportions for distant and total breast cancer recurrences after I‐IBR. Moreover, none of the studies reported local or regional recurrence rates after D‐IBR, and only one study 20 reported locoregional recurrence, distant metastasis, and total recurrence rates after D‐IBR (Table S3b). Consequently, there were insufficient data to calculate weighted average proportions of local, regional, locoregional, distant, or total breast cancer recurrence rates after D‐IBR. Therefore, it was not possible to compare local, regional, locoregional, distant, or total recurrence rates between I‐IBR and D‐IBR.

DISCUSSION

This SR/MA, including studies of moderate‐level quality, showed that delayed autologous PMBR does not lead to different local, regional, and locoregional breast cancer recurrence rates compared to immediate autologous PMBR. Data of the included studies were either insufficient or too heterogeneous to evaluate whether delayed autologous PMBR leads to different distant metastasis or overall breast cancer recurrence rates compared to immediate autologous PMBR, or whether delayed implant‐based PMBR led to higher breast cancer recurrence and distant metastasis rates than immediate implant‐based PMBR. This meta‐analysis is the first to focus on the differences in oncological outcomes after immediate versus delayed PMBR for autologous and implant‐based PMBR separately.

Consistent with our results, Shen and colleagues 6 (2020) observed no difference in recurrence rates after immediate and delayed PMBR in their systematic review. Similarly, in a meta‐analysis by Gieni and colleagues 3 (2012), no difference was found in local recurrences between immediate PMBR and mastectomy only. However, both reviews were limited by the absence of stratified data on type of reconstruction (i.e., autologous and/or implant‐based). 3 , 6 Similar limitations were present in a review by Tsoi and colleagues, 14 comparing implant‐based with autologous PMBR while not considering the timing of reconstruction. Both distinctions are important for clinical decision‐making, because surgical impact and postoperative complications differ greatly between implant‐based and autologous breast reconstructive surgery and between immediate and delayed breast reconstructions. 6 , 14 Ha and colleagues 58 were the first to compare oncological safety between immediate reconstructive methods. To provide robust evidence that supports clinical and shared decision‐making, prospective studies focusing on both surgical methods and both timings of reconstructive surgery separately are needed. 58

Personalized health care is increasingly becoming standard of care for patients with breast cancer. 70 Ideally, each patients' treatment strategy is aligned with patients' genotypic, phenotypic and clinical characteristics, as well as patients' personal preferences. Subsequently, decision aids (DAs) to support shared decision‐making (SDM) are gaining popularity. 71 However, breast reconstruction DAs are predominantly designed for general patient education about different reconstructive options and at best predict the risk of postoperative complications. Because of lack of detailed data on oncological outcomes after different methods and timings, it is not surprising that information on oncological outcomes is not included in current DAs. Moreover, due to various reasons (e.g., previous surgery or radiotherapy, body type), not all patients are eligible for all reconstructive options. 2 To support SDM and improve personalized patient information, patient education should be adjusted to the specific characteristics of the individual. This tailored information can only be achieved through better understanding of differences in oncological outcomes after PMBR.

Another important aspect of clinical decision‐making in the field of breast reconstructive surgery concerns the potential influence of specific reconstructive types and timings on the overall breast cancer treatment strategy. Immediate PMBR does not delay time to adjuvant chemotherapy to a clinically relevant extent. 72 However, the timing of PMBR when radiotherapy is indicated, is still controversial. 7 To enhance personalized medicine, better understanding of oncological risks within subgroups will allow more profound assessments of individual risks in a multidisciplinary setting, thereby improving quality of care.

Better insight in recurrence rates and recurrence patterns after different reconstructive techniques may also improve postoperative surveillance strategies. To date, no consensus exists on routine imaging of the reconstructed breast. 73 , 74 Physical examination is mostly used to detect locoregional recurrences after PMBR, but deeper located recurrences (i.e., chest wall recurrences) may be missed. 73 Although Shammas and colleagues 73 did not find a difference in disease‐free survival between reconstructed patients who received postoperative imaging for surveillance versus those who did not, routine imaging may still be of added clinical value after specific reconstructive techniques or in patients with certain risk profiles. In example, due to preservation of the skin envelope, immediate autologous PMBR might form a risk for developing local recurrences. Because approximately two thirds of all patients with locoregional recurrences will develop distant metastasis, larger studies are needed to define the role of routine mammography, ultrasound, and/or magnetic resonance imaging for early detection of locoregional recurrences. 75

Most importantly, the low risk of locoregional breast cancer recurrence and distant metastasis after breast cancer treatment makes it hard to generate robust evidence‐based conclusions about oncological outcomes after the various reconstructive timings and techniques, and recommendations for breast cancer surveillance after PMBR. 74 As a result, patient education on which type and timing of breast reconstruction patients qualify for remains highly sensitive to experts' beliefs (e.g., the tumor dormancy theory), preferences, resources, and experience. As such, breast reconstructive options that are offered vary widely, even on regional levels.

In addition to the generally low recurrence rates after breast cancer treatment, other challenges of many studies on PMBR are the heterogeneity in study populations and follow‐up, and their susceptibility for confounding by indication. This was illustrated by the large variation in recurrence rates found in our analyses. For example, recurrence rates for distant metastasis and overall breast cancer recurrences after D‐IBR, as reported by Hölmich and colleagues 20 seem high in comparison to other subgroups. However, their high recurrence rates could be explained by the fact that only patients with invasive breast carcinoma were included, that patients were treated between 1978 and 1992, and by their long follow‐up of 10 years. Although we recognize the challenges researchers are faced with when performing studies concerning PMBR, we would like to emphasize the need for larger, prospective long‐term follow‐up studies focusing on PMBR and oncological outcomes in order to increase equal education on, and access to various reconstructive options. 3 The use of prospectively maintained databases and intensive collaboration between existing registries such as oncological, pathological, and surgical registries (e.g., the Dutch Breast Implant Registry or the UK Flap registry) will help overcome these challenges. Transparent, uniform, and complete data collection can be improved by implementation of standardized reporting formats in electronic medical patient records.

This meta‐analysis has several limitations inherent to the quality of the included studies. Despite efforts to minimize heterogeneity among the study populations by only including studies reporting outcomes per subgroup (i.e., autologous delayed and immediate, implant‐based delayed and immediate) and applying strict in‐ and exclusion criteria, substantial heterogeneity was observed. Moreover, the definitions of local, regional, locoregional, and total recurrences were not always specified among studies and often one of these outcomes was not reported. However, we did not exclude studies lacking a detailed description of their outcome measure to ensure we could use all data of all available studies, given that they complied with our predefined level of quality, to support a data‐driven conclusion. Because of the nonrandomized nature of the studies and lack of high‐quality trials, the risk of selection bias and confounding in the included studies is substantial. However, performing randomized trials for breast reconstructive surgery and oncological safety is often considered unethical or unfeasible. 6 By requesting specified data of subgroups from authors who only reported outcomes for the entire groups, selection bias due to unavailability of studies was reduced. Subgroup or adjusted analyses based on tumor stage were not feasible due to incomplete and/or unstratified data. Last, considering that multiple different groups were compared, although formal testing was not performed, there could be an issue with multiple testing. However, the included data allowed for only few formal comparisons. Therefore, we believe this potential issue is minor. We believe this would not have affected the interpretation of the results. A strength of these aggregated patient data (APD) meta‐analyses is that it overcomes potential bias of narrative literature reviews, whereas summarizing data of many studies that were each too small to provide valid evidence. Furthermore, generalizability was strengthened by the large number of studies including a wide range of patient demographics and origins (i.e., Asia, Europe, North and South America).

In conclusion, delayed autologous PMBR leads to similar (loco)regional breast cancer recurrence rates as compared to immediate autologous PMBR. Data of the included studies were unfit to reliably conclude whether delayed autologous PMBR leads to different distant metastasis or overall breast cancer recurrence rates compared to immediate autologous PMBR, or whether delayed implant‐based PMBR leads to different breast cancer recurrence and distant metastasis rates than immediate implant‐based PMBR. Based on current evidence, oncological concerns do not seem a valid reason to withhold patients from certain reconstructive timings or techniques, and patients should equally be offered all reconstructive options they technically qualify for.

However, these results are based on moderate‐level quality studies and therefore do not allow firm conclusions regarding oncological outcomes after different types and timings of PMBR. As such, it remains challenging to define evidence‐based recommendations. In support of equal access to care and better patient selection for breast reconstructions, prospective and sufficiently powered studies evaluating long‐term oncological outcomes are needed to confirm oncological safety after different breast reconstructive timings and techniques in the treatment of patients with breast cancer.

AUTHOR CONTRIBUTIONS

Claudia A. Bargon: Conception or design of the work, acquisition of data for the work, analysis of data for the work, interpretation of data for the work, drafting the work, critical revision of the work for important intellectual content, and responsibility for overall content as a guarantor. Danny A. Young‐Afat: Conception or design of the work, analysis of data for the work, interpretation of data for the work, drafting the work, and critical revision of the work for important intellectual content. Mehmet Ikinci: Acquisition of data for the work, analysis of data for the work, interpretation of data for the work, and critical revision of the work for important intellectual content. Assa Braakenburg: Conception or design of the work, interpretation of data for the work, and critical revision of the work for important intellectual content. Hinne A. Rakhorst: Conception or design of the work, interpretation of data for the work, and critical revision of the work for important intellectual content. Marc A.M. Mureau: Conception or design of the work, interpretation of data for the work, drafting the work, and critical revision of the work for important intellectual content. Helena M. Verkooijen: Conception or design of the work, acquisition of data for the work, interpretation of data for the work, and critical revision of the work for important intellectual content. Annemiek Doeksen: Conception or design of the work, acquisition of data for the work, analysis of data for the work, interpretation of data for the work, drafting the work, critical revision of the work for important intellectual content, and responsibility for overall content as a guarantor. All authors have given final approval for the version of this article to be published and have agreed to be accountable for all aspects of the work and thereby ensure that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

CONFLICTS OF INTEREST

Helena Verkooijen reports a grant from Elekta Instrument AB. The other authors have no conflicts of interest to disclose.

Supporting information

TableS1‐S3 Supporting Information

ACKNOWLEDGMENTS

The authors thank Dr. Hans Kelder, clinical epidemiologist in the St. Antonius Hospital, for his support in the performance of the statistical meta‐analyses and for providing methodologic advice. We are greatly indebted to our hospital librarians Carla Sloof‐Enthoven and Nienke van der Werf for their support in designing the comprehensive search strategy.

The PROSPERO registration number is CRD42020141137.

This study was in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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