| Literature DB >> 34815919 |
Morgan Yuan1, Jeremy Wu2, Ryan E Austin3, Stefan O P Hofer4, Frank Lista3,4, Jamil Ahmad3,4.
Abstract
BACKGROUND: Breast reconstruction is an important aspect in breast cancer treatment.Entities:
Year: 2021 PMID: 34815919 PMCID: PMC8604032 DOI: 10.1097/GOX.0000000000003897
Source DB: PubMed Journal: Plast Reconstr Surg Glob Open ISSN: 2169-7574
AMSTAR Criteria
| AMSTAR Criteria | Description |
|---|---|
| 1 | An “a priori” design was provided |
| 2 | Duplicate study selection and data extraction |
| 3 | Comprehensive literature search |
| 4 | Status of publication used as inclusion criteria |
| 5 | List of studies provided |
| 6 | Characteristics of included studies provided |
| 7 | Scientific quality of included studies provided |
| 8 | Scientific quality of included studies used appropriately in formulating conclusions |
| 9 | Appropriate methods used to combine findings of studies |
| 10 | Likelihood of publication bias assessed |
| 11 | Conflict of interest stated |
Fig. 1.PRISMA diagram demonstrating results of the literature search.
Characteristics of Included Studies
| Author | Journal | Impact Factor | Year | Country Affiliation (Corresponding Author) | Google Scholar Citations | No. Studies | PRISMA Adherence | AMSTAR Score |
|---|---|---|---|---|---|---|---|---|
| Piper |
| 1.354 | 2019 | USA | 0 | 11 | No | 3 |
| Macarios |
| N/A | 2015 | USA | 22 | 3 | Yes | 3 |
| Losken |
| 1.354 | 2014 | USA | 267 | 24 | No | 2 |
| Khajuria |
| N/A | 2019 | UK | 10 | 16 | Yes | 8 |
| Kim |
| 4.235 | 2012 | USA | 330 | 48 | No | 6 |
| Ricci |
| 1.841 | 2017 | USA | 68 | 20 | No | 8 |
| Zhao |
| 1.798 | 2015 | China | 40 | 11 | No | 8 |
| Lee |
| 1.354 | 2017 | South Korea | 22 | 17 | No | 6 |
| Fischer |
| 1.354 | 2014 | USA | 18 | 31 | No | 7 |
| Basta |
| 4.235 | 2015 | USA | 56 | 13 | Yes | 7 |
| Ho |
| 1.354 | 2012 | USA | 245 | 16 | No | 7 |
| Steffenssen |
| 1.354 | 2019 | Denmark | 7 | 26 | Yes | 6 |
| Qian |
| 2.206 | 2019 | China | 2 | 12 | Yes | 7 |
| Atisha |
| 1.354 | 2009 | USA | 115 | 20 | No | 3 |
| Phillips |
| 4.235 | 2013 | USA | 84 | 81 | No | 5 |
| Winocour |
| 4.235 | 2016 | USA | 41 | 31 | No | 7 |
| Corban |
| 2.39 | 2017 | Canada | 24 | 16 | Yes | 6 |
| Wagner |
| 2.39 | 2019 | USA | 18 | 27 | No | 8 |
| Momoh |
| 4.061 | 2013 | USA | 140 | 26 | No | 4 |
| Lindenblatt |
| 2.19 | 2019 | Switzerland | 12 | 95 | Yes | 5 |
| Sousa |
| N/A | 2019 | Portugal | 7 | 44 | Yes | 6 |
| Phillips |
| N/A | 2014 | USA | 32 | 24 | No | 4 |
| Kelley |
| 4.061 | 2014 | USA | 75 | 20 | No | 5 |
| Kristoffersen |
| 1.235 | 2016 | Sweden | 6 | 37 | No | 5 |
| Winters |
| 10.13 | 2010 | USA | 107 | 34 | No | 5 |
| Man |
| 4.235 | 2009 | USA | 214 | 6 | No | 4 |
| Ohkuma |
| 4.235 | 2014 | USA | 55 | 13 | No | 6 |
| Mallikarjuna |
| N/A | 2017 | UK | 3 | 5 | No | 3 |
| Valdatta |
| N/A | 2014 | Italy | 31 | 20 | No | 5 |
| Sibitany |
| 4.235 | 2011 | USA | 225 | 9 | No | 4 |
| Cabalag |
| 2.19 | 2016 | Australia | 22 | 89 | Yes | 5 |
| Paraskeva |
| 3.754 | 2018 | UK | 13 | 8 | No | 7 |
| Sheckter |
| 2.39 | 2017 | USA | 10 | 13 | Yes | 7 |
| Potter |
| 4.061 | 2010 | UK | 48 | 122 | No | 2 |
| Groen |
| 2.39 | 2016 | Netherlands | 74 | 43 | Yes | 6 |
| Retrouvey |
| 4.235 | 2019 | Canada | 23 | 99 | Yes | 4 |
| Hallberg |
| 1.235 | 2018 | Sweden | 43 | 51 | Yes | 9 |
| Lee |
| 1.996 | 2015 | South Korea | 27 | 6 | No | 4 |
| DeDecker |
| 1.868 | 2016 | Belgium | 44 | 23 | No | 5 |
| El-Sabawi |
| 2.771 | 2015 | USA | 77 | 63 | No | 2 |
| Siotos |
| 2.39 | 2018 | USA | 16 | 19 | Yes | 8 |
| Endara |
| 4.235 | 2013 | USA | 176 | 48 | No | 5 |
| Shea-Budgell |
| 0.754 | 2014 | Canada | 22 | 7 | No | 2 |
| Hansson |
| 1.235 | 2018 | Sweden | 8 | 54 | Yes | 7 |
| Wu |
| 3.754 | 2018 | China | 2 | 9 | Yes | 8 |
| Shridharani |
| 1.841 | 2010 | USA | 34 | 20 | No | 3 |
| Vania |
| 0.803 | 2019 | Indonesia | 0 | 6 | No | 4 |
| Offodile |
| 4.061 | 2017 | USA | 6 | 9 | Yes | 9 |
| Egeberg |
| 2.39 | 2012 | Denmark | 79 | 5 | Yes | 5 |
| Loo |
| N/A | 2018 | UK | 10 | 21 | No | 6 |
| Samargandi |
| 1.996 | 2017 | Canada | 5 | 8 | Yes | 8 |
| Zhang |
| N/A | 2016 | China | 60 | 31 | No | 8 |
| Lee |
| 2.125 | 2016 | South Korea | 19 | 18 | No | 4 |
| Li |
| N/A | 2019 | China | 18 | 16 | No | 8 |
| Lanitis |
| 10.13 | 2010 | UK | 178 | 9 | No | 8 |
| Parikh |
| 3.831 | 2017 | USA | 18 | 4 | Yes | 8 |
| Hoppe |
| N/A | 2011 | USA | 83 | 8 | No | 2 |
| Heidermann |
| N/A | 2018 | USA | 19 | 9 | Yes | 5 |
| Jepsen |
| 2.39 | 2019 | Sweden | 3 | 24 | No | 8 |
| Teunis |
| 1.996 | 2013 | Netherlands | 79 | 8 | No | 6 |
| Flitcroft |
| 3.006 | 2017 | Australia | 20 | 12 | Yes | 5 |
| Siotos |
| 1.354 | 2018 | USA | 7 | 8 | Yes | 4 |
| Magill |
| 2.39 | 2017 | UK | 31 | 7 | Yes | 5 |
| Salgarello |
| 1.798 | 2011 | Italy | 34 | 33 | Yes | 3 |
| Rocco |
| 7.89 | 2016 | Italy | 56 | 6 | No | 9 |
| Daar |
| 1.354 | 2018 | USA | 11 | 95 | Yes | 3 |
| King |
| N/A | 2019 | UK | 1 | 3 | No | 2 |
| Thiessen |
| 1.868 | 2019 | Belgium | 10 | 14 | No | 5 |
| Chatterjee |
| 2.771 | 2018 | USA | 27 | 14 | No | 5 |
| Schaverien |
| 1.996 | 2014 | UK | 43 | 8 | No | 5 |
| Giordano |
| 1.235 | 2013 | Finland | 28 | 5 | Yes | 5 |
| Lee |
| 1.354 | 2016 | South Korea | 74 | 17 | No | 5 |
| Herly |
| 2.39 | 2018 | Denmark | 20 | 23 | Yes | 7 |
| Gnaneswaran |
| N/A | 2016 | Australia | 11 | 3 | Yes | 4 |
| Offodile |
| 3.831 | 2018 | USA | 65 | 9 | Yes | 6 |
| Tan |
| 4.848 | 2019 | China | 8 | 10 | No | 6 |
| Soteropulos |
| 1.841 | 2019 | USA | 8 | 56 | Yes | 4 |
| Sebai |
| 4.235 | 2018 | USA | 21 | 5 | Yes | 6 |
| Schulein |
| 2.39 | 2018 | Germany | 0 | 314 | No | 3 |
| Khansa |
| 4.235 | 2013 | USA | 55 | 70 | No | 2 |
| Berlin |
| 2.309 | 2019 | USA | 3 | 17 | No | 5 |
| Sailon |
| 1.354 | 2009 | USA | 46 | 8 | No | 3 |
| Zehra |
| 2.695 | 2019 | Ireland | 7 | 16 | Yes | 7 |
| Smith |
| 2.39 | 2018 | USA | 33 | 13 | No | 3 |
| D'Souza |
| 7.89 | 2011 | Bahrain | 117 | 1 | No | 9 |
| Song |
| 2.74 | 2014 | China | 45 | 11 | Yes | 8 |
| Panayi |
| 1.841 | 2017 | USA | 58 | 33 | Yes | 9 |
| Mossa-Basha |
| 1.841 | 2016 | USA | 5 | 10 | No | 6 |
| Grant |
| N/A | 2014 | Canada | 5 | 10 | No | 3 |
| Kim |
| 0.754 | 2015 | Korea | 17 | 9 | No | 3 |
| Schaverien |
| 2.39 | 2013 | UK | 92 | 25 | No | 6 |
| Shin |
| 1.552 | 2016 | Korea | 9 | 19 | Yes | 8 |
| Aygin |
| 2.695 | 2018 | Turkey | 12 | 7 | Yes | 5 |
| Gieni |
| 3.754 | 2012 | Canada | 95 | 10 | No | 7 |
| Rodriguez-Unda |
| 2.39 | 2015 | USA | 23 | 3 | Yes | 5 |
| Flitcroft |
| 2.773 | 2017 | Australia | 29 | 30 | Yes | 6 |
| Chen |
| 2.695 | 2018 | China | 30 | 5 | Yes | 7 |
| Jeong |
| 3.754 | 2018 | Korea | 32 | 11 | Yes | 4 |
| Krastev |
| 5.676 | 2018 | Netherlands | 19 | 59 | Yes | 6 |
| Wang |
| 1.798 | 2014 | China | 54 | 13 | No | 8 |
| Banuelos |
| 1.354 | 2019 | USA | 2 | 25 | Yes | 6 |
| Kang |
| 1.841 | 2017 | USA | 3 | 14 | No | 1 |
| Singh |
| 4.061 | 2019 | USA | 10 | 18 | Yes | 6 |
| Satteson |
| 2.19 | 2017 | USA | 25 | 23 | Yes | 4 |
| Tokita |
| N/A | 2019 | USA | 3 | 7 | Yes | 8 |
| Claro |
| 4.061 | 2015 | Brazil | 18 | 60 | Yes | 9 |
| Krastev |
| 4.061 | 2012 | Netherlands | 57 | 20 | Yes | 2 |
| Wazir |
| 1.994 | 2016 | UK | 18 | 11 | No | 3 |
| Lee |
| 4.061 | 2017 | Korea | 16 | 8 | No | 5 |
| Carr |
| 1.85 | 2019 | Canada | 8 | 17 | No | 3 |
| Cordova |
| 2.19 | 2019 | Australia | 18 | 42 | Yes | 4 |
| Korus |
| 4.235 | 2015 | USA | 9 | 110 | Yes | 2 |
| Lee |
| 4.59 | 2009 | USA | 156 | 28 | No | 6 |
| Oh |
| N/A | 2016 | Australia | 41 | 42 | No | 4 |
| Wade |
| 2.39 | 2017 | Italy | 28 | 14 | Yes | 10 |
| Lee |
| 1.996 | 2016 | Korea | 17 | 21 | No | 3 |
| Oliver |
| 1.552 | 2019 | USA | 6 | 11 | Yes | 4 |
| Rochlin |
| 2.771 | 2014 | USA | 35 | 11 | No | 2 |
| Preminger |
| 1.576 | 2010 | USA | 17 | 7 | No | 3 |
| Lee |
| 2.771 | 2015 | Korea | 50 | 20 | No | 5 |
| Quinn |
| 2.19 | 2016 | Australia | 36 | 62 | Yes | 4 |
| Nazerali |
| 1.354 | 2017 | USA | 4 | 27 | Yes | 3 |
| Javaid |
| 2.39 | 2006 | UK | 69 | 10 | No | 3 |
| Shah |
| 4.061 | 2012 | USA | 46 | 33 | Yes | 3 |
| Barry |
| 3.831 | 2011 | Ireland | 247 | 11 | No | 3 |
| Berbers |
| 7.275 | 2014 | Netherlands | 88 | 37 | No | 1 |
| Aboushi |
| N/A | 2018 | USA | 0 | 5 | No | 3 |
| Potter |
| N/A | 2010 | UK | 95 | 134 | No | 5 |
| Tsoi |
| 4.235 | 2014 | Poland | 93 | 14 | Yes | 10 |
| Beugels |
| 2.39 | 2017 | Netherlands | 36 | 32 | Yes | 7 |
| Jordan |
| 4.235 | 2016 | USA | 48 | 51 | No | 4 |
| Weissler |
| 4.235 | 2018 | USA | 20 | 37 | Yes | 6 |
| Salibian |
| N/A | 2016 | USA | 60 | 6 | Yes | 4 |
| Barnsley |
| 4.235 | 2007 | Canada | 38 | 8 | No | 6 |
| Potter |
| 5.676 | 2015 | UK | 68 | 69 | No | 7 |
| Alipour |
| 3.831 | 2015 | Iran | 11 | 17 | No | 5 |
| Guyomard |
| 3.754 | 2007 | UK | 129 | 28 | No | 4 |
| DeLong |
| 4.235 | 2019 | USA | 5 | 9 | Yes | 3 |
| Tsoi |
| 4.59 | 2014 | Canada | 43 | 15 | Yes | 9 |
| Maass |
| 4.061 | 2015 | Canada | 19 | 120 | No | 1 |
| Fang |
| 3.831 | 2013 | Taiwan | 91 | 17 | No | 8 |
| XavierHarmeling |
| 3.831 | 2015 | Netherlands | 51 | 14 | No | 6 |
| Lam |
| 4.235 | 2013 | Australia | 130 | 12 | No | 4 |
| Wormald |
| 2.39 | 2013 | UK | 51 | 17 | No | 8 |
| Agha |
| 1.354 | 2015 | USA | 10 | 35 | Yes | 8 |
| Yang |
| 2.74 | 2015 | China | 38 | 14 | No | 6 |
| Pu |
| 1.552 | 2018 | China | 22 | 15 | No | 7 |
| Newman |
| 1.798 | 2011 | USA | 73 | 12 | No | 2 |
| Jansen |
| 4.235 | 2011 | Canada | 101 | 14 | No | 4 |
| Phan |
| 2.19 | 2019 | Australia | 6 | 13 | Yes | 3 |
| Siotos |
| 4.235 | 2019 | USA | 8 | 11 | Yes | 7 |
| Knackstedt |
| N/A | 2019 | USA | 1 | 17 | No | 4 |
| Lee |
| 4.061 | 2015 | Korea | 88 | 23 | No | 4 |
| Brennan |
| N/A | 2013 | Australia | 103 | 28 | No | 4 |
| Agha |
| 2.39 | 2015 | USA | 100 | 35 | Yes | 10 |
| Berthelot |
| N/A | 2019 | UK | 1 | 19 | Yes | 7 |
| Ireton |
| 4.235 | 2014 | USA | 48 | 60 | No | 3 |
| Flitcroft |
| 2.635 | 2017 | Australia | 18 | 21 | Yes | 4 |
| Christopoulos |
| 1.354 | 2020 | UK | 0 | 13 | Yes | 8 |
| da Silva Neto |
| 2.771 | 2019 | Brazil | 3 | 9 | Yes | 8 |
| Toyserkani |
| 2.39 | 2020 | Denmark | 18 | 9 | Yes | 5 |
| Li |
| 1.354 | 2020 | China | 4 | 15 | Yes | 7 |
| Chi |
| 1.354 | 2020 | USA | 0 | 11 | Yes | 6 |
| Spera |
| 1.354 | 2020 | USA | 3 | 7 | Yes | 7 |
| Khajuria |
| 5.676 | 2019 | UK | 3 | 12 | Yes | 8 |
| Reghunathan |
| 1.354 | 2019 | USA | 3 | 22 | Yes | 5 |
| Anbiyaiee |
| N/A | 2020 | Iran | 1 | 5 | No | 5 |
| Eltahir |
| 4.235 | 2020 | Netherlands | 6 | 10 | No | 7 |
| Tondu |
| 2.39 | 2020 | Belgium | 1 | 31 | Yes | 4 |
| Jo |
| 1.996 | 2020 | Korea | 1 | 24 | No | 4 |
| Fuertes |
| 2.19 | 2020 | Spain | 3 | 10 | Yes | 4 |
| Cao |
| 1.552 | 2020 | China | 0 | 20 | Yes | 6 |
| He |
| N/A | 2020 | USA | 0 | 18 | Yes | 6 |
| Pruimboom |
| 7.89 | 2020 | Netherlands | 4 | 9 | No | 9 |
| Hershenhouse |
| 2.39 | 2020 | USA | 1 | 44 | Yes | 6 |
| Balasubramanian |
| 2.647 | 2020 | Ireland | 0 | 5 | Yes | 6 |
| Abbate |
| 3.831 | 2020 | USA | 5 | 13 | Yes | 6 |
| Abdou |
| 1.841 | 2020 | USA | 1 | 10 | Yes | 4 |
| Mangialardi |
| N/A | 2020 | Italy | 0 | 12 | Yes | 4 |
| Kiely |
| 2.39 | 2020 | UK | 2 | 21 | Yes | 9 |
| Mangialardi |
| N/A | 2020 | Italy | 0 | 18 | Yes | 7 |
| Oliver |
| 1.798 | 2020 | USA | 3 | 15 | Yes | 3 |
| Vania |
| 0.803 | 2020 | Indonesia | 0 | 6 | No | 5 |
| Hai |
| N/A | 2020 | USA | 2 | 11 | Yes | 7 |
| Liu |
| 1.798 | 2020 | China | 5 | 18 | No | 5 |
| Ellis |
| 3.754 | 2020 | Australia | 1 | 6 | Yes | 5 |
| Parmeshwar |
| 1.354 | 2020 | USA | 1 | 9 | Yes | 4 |
| Knackstedt |
| 1.841 | 2020 | USA | 0 | 28 | Yes | 3 |
Summary and Synthesis of Conclusions Identified within Included Studies*†
| Topic | Complications | Patient-reported Outcome Measures | Objective Outcomes | Other Conclusions |
|---|---|---|---|---|
| General Breast Reconstruction | –Combined implant and autologous reconstruction does not put a patient at increased risk of flap-related complications1,120 [3] | –Patients receiving oncoplastic reconstruction after breast conservation therapy reported higher satisfaction and psychosocial well-being (improved depression and anxiety) than breast conservation therapy alone3,43,83,93,97,111,113,137,150 [4.44] | –Re-excision rate, local breast cancer recurrence, and positive margin rate were all reduced in patients receiving oncoplastic reconstruction after breast conservation therapy compared with conservation therapy alone. The specific type of reconstruction performed does not influence these outcomes3,41,42,43,52,55,146 [5.57] | –There are few decision aids available for women when deciding on whether to undergo a breast reconstruction following breast cancer surgery32 [7] |
| –There is no consensus on frequency of complications following nipple-areolar complex reconstruction24 [5] | ||||
| –The use of existing decision aids shows reduced decisional conflict and regret after undergoing a breast reconstruction surgery32,61,81,110,119 [4.6] | ||||
| –The incidence of surgical site infections is increased in patients undergoing reconstruction following mastectomy compared with patients only undergoing mastectomy for breast cancer treatment56 [8] | –There is no consensus on the effect of nipple-areolar complex reconstruction on quality of life, but patients with nipple reconstructions reported high satisfaction24,104,137,183 [4.5] | |||
| –There is no standard pattern of breast sensation return following breast reconstruction46,130 [5] | –Most studies evaluating cost-effectiveness of breast reconstruction compared technologies within a specific method or two different methods of reconstruction33 [2] | |||
| –Similar oncological safety and complication rates of breast reconstruction among 60 years or older women compared with younger patients114 [4] | ||||
| –Patients undergoing bilateral breast reconstructions experienced a significantly lower rate of fat necrosis and postoperative flap complications compared with unilateral reconstruction80,172 [4] | –There is low-quality evidence regarding health-related quality of life after breast reconstruction surgeries25 [5] | |||
| –Barriers to accessing breast reconstruction tend to be influenced by an institution’s ability to accommodate the patient’s needs, surgeon’s attitude towards reconstruction, and the patient’s ability to afford the service36,61,66,110,141,154,158 [4.43] | ||||
| –Cosmetic assessment tools for breast reconstruction are inconsistent and subject to bias, requiring the development of a standardized and validated methodology34,112,128,140,145 [3.6] | –Breast reconstruction after mastectomy does not result in a greater incidence of postmastectomy pain syndrome when compared with mastectomy alone166 [5] | |||
| –Obese women undergoing breast reconstruction surgeries were more likely to experience complications and had a higher chance of reoperation87,121,131,171 [5.25] | ||||
| –The type of reconstructive surgery performed has changed over time, shifting from TRAM to DIEP flaps79 [3] | ||||
| –Clinical decision aids improve self-reported satisfaction with breast reconstructions81 [5] | ||||
| –After months, patients who underwent reconstruction after prophylactic mastectomy experienced stiffness, numbness, and new breast-related sexual problems93 [5] | –Women deciding on undergoing breast reconstruction postmastectomy cared most about consistency of views between physician and patient96 [6] | |||
| –Patients with nipple-sparing mastectomy were more satisfied with the surgery than those requiring nipple reconstruction104 [4] | ||||
| Autologous Breast Reconstruction | –Use of a latissimus dorsi flap is associated with lower incidences of device loss, infection and reoperation compared with implant-based reconstructions in previously irradiated breasts9 [7] | –Patients receiving DIEP flaps reported a higher quality of life compared with implant-based reconstruction4 [8] | –Range of motion of flexion and abduction after latissimus dorsi flap reconstruction are significantly impaired at 3 months postop12 [6] | –DIEP flaps were found to be more cost-effective than implant-basedreconstruction4 [8] |
| –Patients undergoing free TRAM, pedicled TRAM, and DIEP flaps showed similar ability to perform activities of daily living14 [3] | ||||
| –There was no significant difference in postoperative abdominal function between pedicle and free TRAM flap reconstruction14 [3]–Use of a DIEP flap showed increased postoperative abdominal flexion compared with free TRAM flap, whereas pedicled TRAM showed the greatest deficit in postoperative rectus and oblique muscle function14 [3]–The use of autologous fat grafting in reconstruction appears to be safe as breast cancer recurrence rates were not increased compared with standard autologous reconstruction35,99,107,108,155 [5.4] | ||||
| –Profunda artery flaps are considered a safe and reliable alternative to DIEP flap reconstruction, with a high success rate and low complication rate13,170 [5.5]–Conflicting evidence regarding whether free TRAM or DIEP flaps are associated with higher complication rate26,49,80,83,98,100,157,173 [4.88]–There were no major complications or local breast cancer recurrence following autologous fat grafting for breast reconstruction, and minor complications were often handled with conservative treatment39 [5]–Pedicled TRAM flaps are associated with more frequent complications than free TRAM flaps47,80,98,183 [3.75] | ||||
| –Data regarding donor site aesthetic following DIEP flap reconstruction is lacking20 [5]–Autologous fat grafting showed high satisfaction rates35,39,155 [7]–Pedicled TRAM flaps are noninferior to free TRAM flaps in terms of aesthetic and satisfaction outcomes47 [4] | ||||
| –Transverse upper gracilis flap with vertical extension modification appears to have more desirable aesthetic characteristics compared with transverse upper gracilis and longitudinal gracilis myocutaneous flaps102 [1] | ||||
| Allogeneic Breast Reconstruction | – Timing of implant placement (immediate versus delayed) does not show a significant impact on most postoperative complications, but delayed implant placement showed a significantly lower infection and reoperation infection rate1,10,17,53,85,91,127,175 [5.5] | – One-stage breast reconstructions provide a similar aesthetical outcome to two-stage reconstructions53 [4] | – Allogeneic grafts, typically including ADM, bone allograft, or extracellular matrix collagen, for nipple reconstruction have similar nipple projection compared with autologous grafts16,182 [5] | – There is limited evidence to support the use of dermal slings with implant-based reconstruction, but they have been described with both permanent implants and tissue expanders44 [7] |
| ADM-assisted Reconstruction | – ADM-assisted reconstruction has a higher complication profile, specifically with seroma, infection, and flap necrosis) than submuscular tissue expander reconstruction5,7,11,18,21,31,57, 58,84,131,148,153,171,181 [5.07] | – ADM use in tissue expander/implant-based reconstruction can enhance cosmesis by preventing both inferior and lateral displacement of the expander7 [8] | – Average follow-up time for patients undergoing human ADM assisted reconstruction was significantly shorter than with submuscular tissue expander reconstruction5 [6] | – ADM adjuncts in single-stage direct-to-implant reconstruction require lower initial costs compared with non-ADM, two-stage reconstruction31 [5] |
| Adjuvant Radiation and Chemotherapy | – PMRT with any form of implant-based reconstruction has a significantly increased complication rate, including capsular contractures and reconstructive failure. 6,19,23,29,40,63,73,80,117,118,120, 123,125,131,133,143,147,151 [4.5] | – The evidence around the effect of PMRT for postmastectomy reconstruction on cosmetic outcomes is conflicting6,63,103,137 [5.75] | – Timing of radiotherapy (before or after reconstruction) did not show any effect on overall success and failure rate of autologous reconstruction19,23,126,165,176 [4.8] | – Immediate implant-based reconstruction does not delay chemotherapy or radiotherapy administration to a clinically relevant extent142,167 [5.5] |
| Perioperative Management of Breast Reconstruction | – Lowest rate of postoperative infection seen in patients who received less than 24 hours of postoperative antibiotics, with no data to support prolonged postoperative antibiotic use following breast reconstruction15,22,184 [5.33] | – Patients undergoing breast reconstruction may benefit from a preoperative assessment for psychosocial and sociodemographic variables to improve postoperative quality of life and identify which patients are more likely to benefit from a reconstructive procedure21 [6] | – There is strong evidence to suggest that preoperative CT angiography can reduce operation time and postoperative morbidity compared with Doppler ultrasounds27,88,115,180 [7.75] | – The use of general anesthesia is recommended over regional anesthesia for breast reconstruction surgeries. There is not enough evidence to suggest that paravertebral blocks are better than the current anesthetic methods48 [9] |
*Citations included can be found in Supplemental Digital Content 2, http://links.lww.com/PRSGO/B822.
†The average AMSTAR score of studies used for each conclusion can be found in square brackets “[ ]” following the citations.
ADM, acellular dermal matrix; DIEP, deep inferior epigastric artery perforator; PMRT, postmastectomy radiotherapy; SIEV, superficial inferior epigastric vein; TRAM, transversus rectus abdominis myocutaneous.
Fig. 2.Percentage of systematic reviews and meta-analyses adhering to each AMSTAR criteria.
Fig. 3.AMSTAR score when compared with journal impact factor.
Fig. 4.AMSTAR score when compared with number of Google Scholar citations.
Fig. 5.AMSTAR score when compared with number of included studies.
Fig. 6.Number of studies in breast reconstruction per year.
Fig. 7.Change in average AMSTAR score per year.
Fig. 8.AMSTAR score when compared with PRISMA adherence.