Skip to main content
Download PDF

Supermicrosurgical treatment for lymphedema: a systematic review and network meta-analysis protocol

Systematic Reviews volume 11, Article number: 18 (2022) Cite this article

Abstract

Background

Lymphedema is a condition that affects up to 130 million subjects worldwide. Since it is related to several complications and a significant reduction in terms of quality of life, it is a heavy burden not only to the patients but also for the healthcare system worldwide. Despite the development of supermicrosurgery, such as vascularized lymph node transfer (VLNT) and lymphovenous anastomosis LVA, the indications and outcomes of these complex groups of interventions remain a controversial topic in the field of reconstructive plastic surgery.

Methods

This systematic review and network meta-analysis aims to assess the evidence of outcomes of LVA and VLNT in patients with lymphedema. Secondary aims of the project are to determine if for any outcomes, LVA or VLNT is superior to conservative therapy alone, and whether the available evidence favors any kind of supermicrosurgical interventions for lymphedema patients. This study will include original studies of patients with lymphedema on the extremities indexed in PubMed, EMBASE, CENTRAL, PASCAL, FRANCIS, ISTEX, LILACS, CNKI, and IndMED that reported microsurgery (supermicrosurgery) of all techniques aiming the re-functionalization of the lymphatic system. As comparators, mere observation, conservative treatment of any kind, and the other subgroups of supermicrosurgery are planned. The primary outcome of this systematic review and network meta-analysis is the difference of the limb volume, while the secondary outcomes of interest will be erysipelas rates, major and minor complications, postoperative necessity of continuous compression garments, and patient satisfaction, measured by already published and validated scores for quality of life.

Discussion

We will provide an overview and evidence grade analysis of the scientific literature available on the effectiveness of the subcategories of supermicrosurgical interventions for lymphedema.

Peer Review reports

Background

Lymphedema is characterized by the development of localized swelling as a result of a compromised lymphatic system [1]. Primary lymphedema occurs when there is congenital dysfunction of the lymphatic system (LS) caused by isolated mutations or chromosomal aberrations [2]. Secondary lymphedema (SL) is the result of an injury to the LS subsequent to bacterial or parasitic infections, malignancy, radiation, trauma, inflammation, and medications [3].

Despite major improvements in public health and access to healthcare, parasitic infections remain the main global cause of SL, such as filariasis or onchocerciasis [4]. The overall prevalence of infectious SL has been appraised to exceed the 200 million cases worldwide [4]. In the developed world, the leading cause of lymphedema is iatrogenic, following oncological treatment. It is estimated that 10–70% of the patients surviving a solid malignancy will develop lymphedema, depending on the extent of lymphatic surgery required and adjuvant therapies [5].

The currently accepted system of staging lymphedema is the one proposed by the International Society of Lymphology (ISL) [6]. At stage 0, there are no features of clinical lymphedema, yet damage of the lymphatic system can be detected by imaging. In stage 1, an early accumulation of fluid is seen, but subsides with limb elevation or compression [6]. If limb elevation does not reduce tissue swelling and pitting edema is evident, then lymphedema is classified as stage 2 [6]. Stage 3 encompasses lymphostatic elephantiasis, in which the skin does not pit because of trophic skin changes such as fibrosis, acanthosis, fat deposits, and warty overgrowths; that also may lead to the loss of contour and anatomic shape of the affected extremity [6].

In early stages, compression therapy is still the workhorse approach for lymphedema. The goal of compression garments is to increase interstitial pressure and decrease capillary filtration [7]. The literature has shown that patients with lymphedema treated with compression garments in early stages are able to lose a mean excess of 1700cc or 20% of the limb volume within 2 weeks [8]. Low-stretch bandage, manual lymph drainage, regular exercise, and skincare are usually associated with compression, as part of what is called complex decongestive therapy [7, 9]. Since the 1980s, this has been the gold standard for lymphedema. However, this modality only addresses the signs and symptoms derived from excessive edema formation, without treating the underlying lymphatic dysfunction or pathophysiology of disease progression.

Functional lymphedema surgery involves two sets of techniques: lymphovenous anastomosis (LVA) and vascularized lymph node transfers (VLNT) [10]. The anastomosis of lymphatic vessels to small cutaneous veins or afferent vascular package of lymph nodes is considered supermicrosurgery, as it involves suturing structures with a diameter of less than 0.8mm [11]. LVA surgery aims to create a bypass by which fluid excess can be drained into the venous system at different levels in the affected extremity. Reports of long-term average volume reduction range from 2.4 to 69% for LVAs [12, 13]. The introduction of intraoperative indocyanine green (ICG) navigation to identify the LV in situ and test anastomosis patency has refined this procedure further and added another layer of technical complexity to an already challenging procedure [14]. VLNT comprises the transplant of vascularized autologous lymph nodes from a donor site and anastomosis to recipient vessels in the affected limb. It has been theorized that the transferred lymph nodes act as a sponge that absorbs the excess of lymph fluid while generating a local lymphatic system de novo by lymphangiogenesis [15,16,17]. Despite that these proposals have not been proven, studies have shown an average volume reduction from 7.13 to 74.5% and a reduction for the necessity for long-term compression therapy [18, 19], although it has been argued that there is a lack of reproducibility of studies obtaining these outcomes [20].

Due to the absence of strong evidence concerning the effectiveness of LVAs and VLNTs, clear guidelines concerning the use of these procedures are missing. Only two older clinical practice guidelines discussed indications for surgery in lymphedema. While the International Lymphedema Framework guideline in 2012 concluded that “peer-reviewed published literature on the surgical treatment of Lymphedema indicate that these procedures are promising for select groups of patients” [21], the CREST guideline of 2008 declared that “Surgery is not currently recommended for the management of this condition in Northern Ireland” [22]. Recently, microsurgical and plastic surgical societies have proposed consensus recommendations for the supermicrosurgical treatment of lymphedema to orientate clinicians looking after patients with lymphedema [23]. Here, it was also formulated that further evidence-based recommendations are of imperative necessity.

Methods/design

The following protocol for this systematic review and network meta-analysis adheres to the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) guidelines [24], in accordance with the PRISMA-NMA statement [25] and with a methodology recommended by the Cochrane Handbook [26]. The completed PRISMA-P checklist is provided in the supplementary material (Supplementary file 1). This study could not be registered in the Prospective Register of On-going Systematic Reviews (PROSPERO) because PROSPERO does not currently accept registrations for scoping reviews, literature reviews, or mapping reviews (Supplementary file 1). Any variances from the methods described in this protocol will be reported and discussed in the final systematic review and network meta-analysis.

Aim

This systematic review and network meta-analysis is intended to assess the evidence of outcomes of two types of supermicrosurgical interventions (LVA and VLNT) in patients with lymphedema. Secondary aims of the project are to determine if for any outcomes, LVA or VLNT is superior to conservative therapy alone and whether the available evidence favors any kind of supermicrosurgical interventions for lymphedema patients. An additional aim is to determine the areas where further evidence-based oriented reports are missing.

figure a

Eligibility criteria

The eligibility criteria have been established following the Population, Intervention, Comparator, Outcomes, and Study Design (PICOS) format recommended by the Cochrane Group [27]. These are described in detail below and summarized in Table 1.

Table 1 Summary of the inclusion and exclusion criteria of the planned systematic review and network meta-analysis
Full size table

Population

This study will include patients with lymphedema on the extremities without exclusion of demographic factors (age, gender, ethnicity, or socio-cultural settings). No specific subpopulations of secondary lymphedema will be excluded, and if possible, these subpopulations will be pooled according to the stage of the disease (following the classification of the ISL [6]) and/or the etiology of the lymphedema). Patients with intraperitoneal lymphatic diseases or only genital or head and neck lymphedema will not be included. In order to minimize selection bias, all patient cohorts where the main intervention was the microsurgical treatments of complications of lymphedema, such as lymphatic cysts, lymphorrea, lymphocele, or lymphangiosarcoma, will be excluded. It is possible to assume transitivity of the population studied because, despite expected ethnical differences, most patients will have a similar distribution of age and lymphedema etiology. Socio-cultural differences among the population or ethnical variations are of minor importance for the transitivity assumptions since the access to healthcare, lifestyle, and co-morbidities will be distributed similarly. This is because the studied and intervened population will be of developed countries with a healthcare system able to provide complex supermicrosurgical procedures.

Intervention

The intervention of interest is microsurgery (supermicrosurgery) of all kinds and techniques aiming the re-functionalization of the lymphatic system. Supermicrosurgery will not be strictly defined during this network meta-analysis based on the traditional definition as procedures with anastomosis of vessels smaller than 0.8mm [11], but as a concept of microsurgical treatment for lymphedema. This broader definition will be considered during the search strategy to avoid unintentional exclusion of suitable publications. As described above, the microsurgical treatment of lymphedema can and will be divided during this study roughly in two groups: vascularized transfer of autologous lymph nodes from a donor side (intra- or extra-abdominal VLNT and soft tissue flaps including lymph nodes) or lymphatic shunts or bypasses (lymphovenous anastomosis or lympholymphatic bypass). Combined interventions will be included and, if possible, pooled into an extra intervention group. Microsurgical interventions of tissue-engineered constructs and implants as shunts/bypass of the lymphatic system will be excluded. Dose-dependent interventions might be relevant (like the amount of lymph nodes transferred or the number of LVA performed per intervened subject). Any dose-dependent information will be considered and extracted. After matching dose-dependence of the interventions in the comparable subgroup of individuals, further comparisons might follow.

Comparators

In randomized controlled trials, inactive and active control interventions will be included. These are respectively (1) mere observation—do nothing and (2) conservative treatment of any kind (compression garments, manual decongestive therapy, pneumatic compression, lymphatic drainage, etc.). Ablative operative treatments as liposuctions or excisional-and-grafting surgeries will not be considered as an active control group during this systematic review and network meta-analysis. No exclusion based on frequencies, duration, timing of delivery, or number of interventions will be considered. A pooled comparation of two groups, LVA and VLNT, will be performed during this systematic review and network meta-analysis. Trials including only inactive or active control trials or case series, without a microsurgical intervention group for lymphedema, will be excluded. Studies including merely a supermicrosurgical intervention group, if considered as appropriate after the risk of bias assessment (see the “Risk of bias assessment” section), will be pooled for further comparisons. There will be no exclusions based on the postinterventional follow-up period. To permit an analysis, the results of the follow-up period will be pooled arbitrary in four groups: (1) direct postoperative period—day 1 to 14, (2) early postoperative period (2nd week to 6th month), (3) late postoperative period (6th month to 2nd year), and (4) long-term postoperative period (after 2 years). If a trial reports multiple timepoints that fall into the same of our pre-defined categories, we will use the latest available timepoint in that category.

Outcomes

The primary outcome of this systematic review and network meta-analysis is the difference of the limb volume, measured by water plethysmography, circumference variation, or mathematic volumetric calculations on different scales. The limb volume difference of the limbs with lymphedema at a pre- and postoperative timepoint or the comparison of the affected and intervened limb with the contralateral extremity will be included and pooled into subgroups. Secondary outcomes of interest will be erysipelas rates, major and minor complications, postoperative necessity of continuous compression garments, and patient satisfaction, measured by already published and validated scores for quality of life (Table 2). Subjective reports of satisfaction or the application of non-validated quality-of-life scores will not be considered. If possible, the primary and secondary outcomes will be polled and analyzed for the different stages of lymphedema, its etiology, and for each specific interventional subgroup.

Table 2 Overview of the primary and secondary outcomes of the planned systematic review and network meta-analysis
Full size table

Type of studies to be included

Any original articles, which assess the outcomes of supermicrosurgery for lymphedema, either on its own or compared to other supermicrosurgical or conservative therapies, will be included. There will be no restrictions in language, years, or geography. Our exclusion criteria include preclinic studies, case reports, consensus papers, editorials, reviews, and meta-analysis articles. Also, original publications of the same researcher’s group with overlapping time frame might be excluded if the patients are not singularized as different cohorts. In such a scenario, the authors will be contacted to confirm that the patient cohorts of the articles in question are different. If this information is not available to us, the study with the highest evidence level or the largest series, in case of equal study design, will be included. The other article, or articles, will be excluded. Since preprint servers like MedRxiv are not peer reviewed, the corresponding grade of evidence cannot be certainly determined. Therefore, preprinted reports will not be considered.

Search strategy

A comprehensive and reproducible electronic search will be conducted by four independent reviewers in multiple electronic databases including MEDLINE via PubMed, EMBASE via Ovid, Cochrane Central Register of Controlled Trials (CENTRAL), PASCAL, FRANCIS, ISTEX, Latin American and Caribbean Health Sciences Literature (LILACS), China National Knowledge Infrastructure (CNKI), and Indian Biomedical Research Database (IndMED). An example of the search strategy and key words to be used during the systematic review and network meta-analysis is provided in Table 3.

Table 3 Exemplary search strategies and key words that will be used for this systematic review and network meta-analysis
Full size table

Additionally, unpublished clinical trials will be searched by the same four reviewers independently at ClinicalTrials.gov, the International Standard Randomized Controlled Trial Number Register (ISRCTN), and the WHO International Clinical Trials Registry Platform (ICTRP). Of these trials, a back- and forward citation research will be performed by hand. Despite reviews, meta-analysis and systematic reviews will be excluded from further analysis; a manual screen of the references cited will be conducted to detect potentially overlooked articles. In order to identify all relevant studies, all the above-mentioned databases will be systematically searched from their inception with no language limitations.

Data extraction

Two of the same review authors that performed the search will evaluate the studies, obtained and saved as abstracts in EndNote X9 (version X9.3.2, Clarivate Analytics, Philadelphia USA), and exclude independently the publications based on the inclusion and exclusion criteria. Then, the list of the remaining studies to be included will be compared and any difference of excluded articles will be solved by consensus with a third reviewer. The same reviewers will conduct a full-text screening and exclude again unsuited articles. Once again, the result of this process will be compared, and the differences solved by mutual agreement with a third team member.

A standardized data extraction spreadsheet will be developed a priori (Microsoft Excel, version 16.45, Microsoft, Washington, USA). The final studies to be included will be analyzed independently by three reviewers and the data extracted and filled into the Excel form. Inconsistencies will be resolved by unanimity after consultation with a fourth reviewing member. The following data will be extracted: year of publication, study location, type of study, cohort size, age, gender, follow-up period, risk factors for complications, supermicrosurgical intervention, control intervention, and the outcomes as outlined in the PICOS strategy (Table 1). Specific details of postoperative medications, physical rehabilitation, and lymphatic compression protocols will also be extracted, but a priori not analyzed. Sources of funding and declared conflict of interests will be collected as part of the risk of bias assessment. The authors will be contacted if there is data missing and the eligibility criteria or data description remains unclear following the article reviews. If data is consistently missing and remains unprovided by the respective authors, they will be imputated by using the informative missingness odds ratio (IMOR) method [28]. After the extraction occurred, some studies might still be excluded based on the bias risk (see the “Risk of bias assessment” section below). An overview of the studies excluded and included will be presented in a PRISMA flow diagram.

Risk of bias assessment

After the extraction occurred, the included studies will undergo a risk of bias assessment and reporting quality by three review authors independently. If the bias of studies is evaluated as too high by any reviewer, the assessment will be discussed with the other reviewing authors and excluded or included by consensus. The results of the risk of bias assessment will be summarized narratively and graphically in the main body or the appendix of the resulting systematic review and network meta-analysis. Additionally, the risk of bias between studies will be assessed and presented as funnel plots. If a small-study effect is observed, we expect it to slightly overrate the positive outcomes of supermicrosurgery in the intervened population in contrast to the expected effect when broadly applied. As with any other complex surgical procedure, supermicrosurgery, it better performed in the highly specialized centers, that in turn publish the first cohort series or RCTs.

In detail, the risk of bias will be assessed using the Cochrane Handbook’s Risk of Bias revised tool (ROB2) [29] assessment tool for randomized controlled trials and graded as “low risk,” “high risk,” and “unclear” in each of the following areas: random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective reporting, and other bias. For non-randomized studies, the risk of bias will be evaluated by ROBINS-I (Risk of Bias in Non-randomized Studies-of Interventions) [30]. For case series, the bias inquiry will be addressed using the Critical Appraisal Checklist for Case Series provided by the Joanna Briggs Institute (JBI) [31].

Data synthesis

We will summarize and describe each study narratively in tables and text by general characteristics of the study population, treatment, and design. All values that are relevant for quantitative analyses will be tabulated in an appendix. The standardized mean difference along with its 95% confidence interval (CI) will be used as an effect measure for the limb difference (the primary outcome). Depending on the scale of the secondary outcomes, we will use either the odds ratio (OR) or the standardized mean difference (SMD) along with its 95% CI, as we expect different studies to report similar outcomes using varying assessment tests and scales. We do not currently expect to identify time-to-event outcomes during the screening process.

A random-effects network meta-analysis will be performed for all primary and secondary outcomes if enough eligible studies are identified. A network graph will be used to visualize the connectedness for each outcome, as well as the direct and indirect comparisons. If a network meta-analysis can be performed, we will use the method based on graph theory for data synthesis [32] and the reduction of weights to account for correlation in multi-arm trials [32]. If possible, direct and indirect evidence will be compared to assess the consistency (the manifestation of transitivity) and a design-by-treatment interaction model will be used to formally assess loop consistency wherever possible [33]. We will use the between-trial heterogeneity parameter for each network meta-analysis (one parameter per network meta-analysis) to assess the agreement between the randomized and non-randomized studies in the analysis [34]. We will use the design-adjusted analysis that down-weights non-randomized evidence as a sensitivity analysis [34]. If not enough data is available for one or more endpoints, we will perform random-effects pairwise meta-analyses instead, using inverse variance weighting and restricted maximum likelihood estimation. Between-trial heterogeneity will be assessed using the τ2 statistics as well as the I2 and the (generalized) Q-statistic. Summary of finding (SoF) tables, Forest plots (grouped by treatment contrast for network meta-analyses), and league tables will be used to visualize estimation results. We will use P-scores to provide ranking of treatments for each outcome [35], which will be used to visualize estimation results. Comparison adjusted funnel plots along with Egger’s regression tests will be used to assess small-study effects for all outcomes that we identify ten or more contributing studies for [36].

All analyses will be performed in R (version 4.0.3 or higher, R Foundation for Statistical Computing, Vienna, Austria) using the extensions netmeta [37] and meta [38]. Results will be considered significant at a level of 5%.

Sensitivity analyses will be performed using the design-adjusted approach for combining randomized and non-randomized evidence [34], as well as for the risk of bias and the study design. Subgroup analyses will be performed for the expected categorical effect modifiers stage condition, population, and lymphedema supermicrosurgery, if sufficient data per subgroup is available.

The results of the systematic review and network meta-analysis will be displayed graphically and the resulting level of evidence will be determined according to the Oxford Centre for Evidence-Based Medicine [39]. Recommendations will be made based on the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system and the Confidence in Network Meta-Analysis (CINeMA) approach [40, 41].

Discussion

Lymphedema prevalence is high in both developed and developing countries. In the former, the increasing incidence of secondary lymphedema is due to more effective oncological treatments and a higher number of patients surviving cancer. The incidence of lymphedema will vary depending on the nature of the primary tumor but is frequently associated with head and neck cancer (75%), melanoma (16%), urological (11%), and gynecological (37%) malignancies [42,43,44]. Breast cancer surviving patients are the major iatrogenic source of lymphedema since the overall risk of developing breast cancer in the European female population was estimated to be 12.9% [45] and 10–40% of them will develop a SL in the first 3 years after surgery [1].

Despite conservative strategies are available and have proven to be effective [46], these do not address the root cause for lymphedema. In an attempt to refunctionalize an injured lymphatic system, supermicrosurgical strategies like lymphovenous anastomosis and lymph node transfer have emerged. For lymphedema supermicrosurgery, the literature continues to accumulate for competing management interventions and technical variations, without strong evidence for its efficacy. Recently, a systematic intervention review analyzed the evidence of surgical intervention for the prevention or treatment of breast-related secondary lymphedema [47]. Despite providing an excellent methodology, the study design contemplated very strict and ambitious inclusion criteria, leading to the eligibility of only two studies out of 828 initial records (0.24%) [47]. To be included, the studies must fulfill the following criteria: to be a RCT limited to breast-cancer-related lymphedema and present pre-defined objective criteria for measuring of tissue volume and distribution, limb composition, and imaging tests [47]. The main drawback of this systematic review was, in our opinion, the decoupling of the expectation of ideal interventional studies for the surgical treatment of lymphedema and the reality of the body of evidence generated so far. It is debatable if the conclusions about the interventions of one of the included RCT of 36 participants is a better orientation for clinicians than the dozen of non-randomized series of hundreds of participants published so far.

To our knowledge, only Basta et al. and Carl et al. have reviewed the overall evidence of the surgical treatment of lymphedema [48, 49]. The first study was based on observational data until 2013, using unconventional methodology, and a study design that did not incorporate any recommended strategy to asses or avoid bias. The second review, more recent, study presented extensive results and a good discussion. Nonetheless, the method section was nearly non-existent and omitted all the methodological recommendations from PRISMA and the Cochrane group. As a result of these shortcomings, plastic surgeons worldwide are still unable to provide evidence-based recommendations to their patients with lymphedema. This gap of evidence was identified and confirmed by a recent review of lymphedema guidelines [50].

The primary aim of this systematic review and network meta-analysis is to synthesize the full body of evidence regarding the supermicrosurgical treatment alternatives to permit the development of individualized surgical strategies and guidelines for lymphedema surgery. The results of this review will quantify and statistically analyze the mean or median volume reductions of supermicrosurgically intervened limbs compared to conservative therapy, no treatment, and/or other supermicrosurgical interventions. Whenever possible, outcomes like quality of life, limb function, erysipelas rates, and postoperative complications will be pooled and analyzed. If the evidence is categoric enough, recommendations concerning supermicrosurgical interventions will be made in relation to the etiology of lymphedema and the clinical stages. On the other hand, if the results do not permit any endorsements, the data will be displayed for its interpretation and the analysis will be merely descriptive.

A major strength of our planned systematic review and network meta-analysis is a robust design. Besides the systematic review of Markkula et al. [47], this is the first study in this regard that will adhere to the methodological gold standard of the recommendations from PRISMA and the Cochrane group. The data gathering of several databases and the privation of artificially introduced exclusion criteria will greatly improve the sensitivity of the research. To counter a related reduction in the search precision and inclusion of non-relevant articles into the analysis, the PICOS strategy was formulated by an interdisciplinary team with a focus in avoidance of selection bias and rigorous assessment of the bias in the included trials. Besides that, the methodology contemplates to calculate the heterogeneity and study the publication bias of the incorporated studies. Furthermore, all the reviewing authors are experienced in the field and the presented study protocol was developed and refined during several meetings and extensive discussions in a multidisciplinary commission.

A possible limitation of the intended review is the inclusion of studies lacking a control group, like case series. The inclusion of non-randomized studies was decided after a pilot search in PubMed and is founded in the intention to avoid false conclusions based exclusively on the analysis of a few possible underpowered or biased RCTs. The intervened groups and their subpopulations will be pooled mathematically risking to merge heterogeneous patient populations and surgeries subtypes. To minimize the error of heterogenous pooling, the reviewing authors therefore pre-specified condition, populations, and lymphedema supermicrosurgery subgroups in advance for the data extraction and analysis.

We are confident that the intended systematic review and network meta-analysis will be an exceptional contribution to the field of reconstructive plastic microsurgery. Whether the results will allow the generation of specific guidelines and recommendations for the surgical treatment of lymphedema, or identify the particular fields where more quality studies are required, this effort will be a critical contribution to evidence-based care of patients with lymphedema.

Availability of data and materials

No data generated so far.

References

  1. Chang DW, Masia J, Garza R, Skoracki R, Neligan PC. Lymphedema. Plast Reconstr Surg. 2016;138(3 Suppl):209S–18S.

    Article  CAS  PubMed  Google Scholar 

  2. Lee BB, Villavicencio JL. Primary lymphedema and lymphatic malformation: are they the two sides of the same coin? Eur J Vasc Endovasc Surg. 2010;39(5):646–53.

    Article  CAS  PubMed  Google Scholar 

  3. Morgan CL, Lee BB. Classification and staging of lymphedema. In: Lymphedema: Springer; 2008. p. 21–30.

  4. World Health O. World Health Organization global programme to eliminate lymphatic filariasis; 2010. p. 1–93.

    Google Scholar 

  5. Murdaca G, Cagnati P, Gulli R, Spanò F, Puppo F, Campisi C, et al. Current views on diagnostic approach and treatment of lymphedema. Am J Med. 2012;125(2):134–40.

    Article  PubMed  Google Scholar 

  6. Society TI, Document C, Congress XI, Inter XVI, Icl X, Committee E, Icl X, Committee ISLE, Icl XX, Icl XXI, et al. The diagnosis and treatment of peripheral lymphedema: 2013 consensus document of the International Society of Lymphology This International Society of Lymphology, vol. 46; 2013. p. 1–11.

    Google Scholar 

  7. Greene AK, Slavin SA, Brorson H. Lymphedema: presentation, diagnosis, and treatment. Switzerland: Springer Nature; 2015.

  8. Swedborg I. Effects of treatment with an elastic sleeve and intermittent pneumatic compression in post-mastectomy patients with lymphedema of the arm. Scand J Rehabil Med. 1984;16(1):35–41.

    CAS  PubMed  Google Scholar 

  9. Földi E. The treatment of lymphedema. Cancer. 1998;83(S12B 12B):2833–4.

    Article  PubMed  Google Scholar 

  10. Hong JPJ, Song S, Suh HSP. Supermicrosurgery: principles and applications. J Surg Oncol. 2018;118(5):832–9.

    Article  PubMed  Google Scholar 

  11. Badash I, Gould DJ, Patel KM. Supermicrosurgery: history, applications, training and the future. Front Surg. 2018;5(March):1–13.

    Google Scholar 

  12. Campisi C, Bellini C, Campisi C, Accogli S, Bonioli E, Boccardo F. Microsurgery for lymphedema: clinical research and long-term results. Microsurgery. 2010;30(4):256–60.

    PubMed  Google Scholar 

  13. Auba C, Marre D, Rodríguez-Losada G, Hontanilla B. Lymphaticovenular anastomoses for lymphedema treatment: 18 months postoperative outcomes. Microsurgery. 2012;32(4):261–8.

    Article  PubMed  Google Scholar 

  14. Yamamoto T, Narushima M, Yoshimatsu H, Yamamoto N, Kikuchi K, Todokoro T, et al. Dynamic indocyanine green (ICG) lymphography for breast cancer-related arm lymphedema. Ann Plast Surg. 2014;73(6):706–9.

    Article  CAS  PubMed  Google Scholar 

  15. Becker C, Arrive L, Saaristo A, Germain M, Fanzio P, Batista BN, et al. Surgical treatment of congenital lymphedema. Clin Plast Surg. 2012;39(4):377–84.

    Article  PubMed  Google Scholar 

  16. Becker C, Vasile JV, Levine JL, Batista BN, Studinger RM, Chen CM, et al. Microlymphatic surgery for the treatment of iatrogenic lymphedema. Clin Plast Surg. 2012;39(4):385–98.

    Article  PubMed  Google Scholar 

  17. Cheng M-H, Huang J-J, Wu C-W, Yang C-Y, Lin C-Y, Henry SL, et al. The mechanism of vascularized lymph node transfer for lymphedema: natural lymphaticovenous drainage. Plast Reconstr Surg. 2014;133(2):192e–8e.

    Article  CAS  PubMed  Google Scholar 

  18. Batista BN, Germain M, Faria JCM, Becker C. Lymph node flap transfer for patients with secondary lower limb lymphedema. Microsurgery. 2017;37(1):29–33.

    Article  PubMed  Google Scholar 

  19. Ciudad P, Manrique OJ, Adabi K, Huang TCT, Agko M, Trignano E, et al. Combined double vascularized lymph node transfers and modified radical reduction with preservation of perforators for advanced stages of lymphedema. J Surg Oncol. 2019;119(4):439–48.

    Article  PubMed  Google Scholar 

  20. Silva AK, Chang DW. Vascularized lymph node transfer and lymphovenous bypass: novel treatment strategies for symptomatic lymphedema. J Surg Oncol. 2016;113(8):932–9.

    Article  PubMed  Google Scholar 

  21. Cormier J, Damstra R, Brorson H, Suami H, Chang D. Surgical intervention: a position document on surgery for lymphedema: Lymphedema Framework; 2012.

    Google Scholar 

  22. group Cm. Guidelines for the diagnosis, assessment and management of lymphedema: Clinical Resource Efficiency Support Team; 2008.

    Google Scholar 

  23. Hirche C, Engel H, Seidenstuecker K, Taeger C, Machens H-G, Frick A, et al. Lympho-reconstructive microsurgery for secondary lymphedema: consensus of the German-Speaking Society for Microsurgery of Peripheral Nerves and Vessels (DAM) on indication, diagnostic and therapy by lymphovenous anastomosis (LVA) and vascularized lymph node transfer (VLNT). Handchir Mikrochir Plast Chir. 2019;51(6):424–33.

    PubMed  Google Scholar 

  24. Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4(1):1–9.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Hutton B, Catala-Lopez F, Moher D. The PRISMA statement extension for systematic reviews incorporating network meta-analysis: PRISMA-NMA. Med Clin (Barc). 2016;147(6):262–6.

    Article  Google Scholar 

  26. Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al. Cochrane handbook for systematic reviews of interventions: Wiley; 2019.

    Book  Google Scholar 

  27. Counsell C. Formulating questions and locating primary studies for inclusion in systematic reviews. Ann Intern Med. 1997;127(5):380–7.

    Article  CAS  PubMed  Google Scholar 

  28. White IR, Higgins JP, Wood AM. Allowing for uncertainty due to missing data in meta-analysis—part 1: two-stage methods. Stat Med. 2008;27(5):711–27.

    Article  PubMed  Google Scholar 

  29. Sterne JA, Savović J, Page MJ, Elbers RG, Blencowe NS, Boutron I, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019;366:l4898.

    Article  PubMed  Google Scholar 

  30. Sterne JA, Hernán MA, Reeves BC, Savović J, Berkman ND, Viswanathan M, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 2016;355:i4919.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Jordan Z, Lockwood C, Munn Z, Aromataris E. The updated Joanna Briggs Institute model of evidence-based healthcare. Int J Evid Based Healthc. 2019;17(1):58–71.

    Article  PubMed  Google Scholar 

  32. Rücker G. Network meta-analysis, electrical networks and graph theory. Res Synth Methods. 2012;3(4):312–24.

    Article  PubMed  Google Scholar 

  33. Jackson D, Boddington P, White IR. The design-by-treatment interaction model: a unifying framework for modelling loop inconsistency in network meta-analysis. Res Synth Methods. 2016;7(3):329–32.

    Article  PubMed  Google Scholar 

  34. Efthimiou O, Mavridis D, Debray TP, Samara M, Belger M, Siontis GC, et al. 4 GWP: Combining randomized and non-randomized evidence in network meta-analysis. Stat Med. 2017;36(8):1210–26.

    Article  PubMed  Google Scholar 

  35. Rücker G, Schwarzer G. Ranking treatments in frequentist network meta-analysis works without resampling methods. BMC Med Res Methodol. 2015;15(1):1–9.

    Article  Google Scholar 

  36. Chaimani A, Salanti G. Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions. Res Synth Methods. 2012;3(2):161–76.

    Article  PubMed  Google Scholar 

  37. Rücker G, Schwarzer G, Krahn U, König J. netmeta: network meta-analysis using frequentist methods (R package version 0.9-5); 2020.

    Google Scholar 

  38. Balduzzi S, Rücker G, Schwarzer G. How to perform a meta-analysis with R: a practical tutorial. Evid Based Ment Health. 2019;22(4):153–60.

    Article  PubMed  Google Scholar 

  39. Phillips B, Ball C, Sackett D. Oxford Centre for Evidence-based Medicine–levels of evidence (March 2009); 1998: Jeremy Howick; 2009.

    Google Scholar 

  40. Schünemann HJ, Best D, Vist G, Oxman AD, Group GW. Letters, numbers, symbols and words: how to communicate grades of evidence and recommendations. CMAJ. 2003;169(7):677–80.

    PubMed  PubMed Central  Google Scholar 

  41. Nikolakopoulou A, Higgins JP, Papakonstantinou T, Chaimani A, Del Giovane C, Egger M, et al. CINeMA: an approach for assessing confidence in the results of a network meta-analysis. PLoS Med. 2020;17(4):e1003082.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Warren AG, Brorson H, Borud LJ, Slavin SA. Lymphedema. Ann Plast Surg. 2007;59(4):464–72.

    Article  CAS  PubMed  Google Scholar 

  43. Williams SK, Rabbani F. Complications of lymphadenectomy in urologic surgery. Urol Clin North Am. 2011;38(4):507–18.

    Article  PubMed  Google Scholar 

  44. Yost KJ, Cheville AL, Al-Hilli MM, Mariani A, Barrette BA, McGree ME, et al. Lymphedema after surgery for endometrial cancer: prevalence, risk factors, and quality of life. Obstet Gynecol. 2014;124(2 Pt 1):307–15.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Quante AS, Ming C, Rottmann M, Engel J, Boeck S, Heinemann V, et al. Projections of cancer incidence and cancer-related deaths in Germany by 2020 and 2030. Cancer Med. 2016;5(9):2649–56.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Ezzo J, Manheimer E, Ml M, Dm H, Weiss R, Ki J, et al. Manual lymphatic drainage for lymphedema following breast cancer treatment (review). Cochrane Libr. 2015;(5):1-73.

  47. Markkula SP, Leung N, Allen VB, Furniss D. Surgical interventions for the prevention or treatment of lymphedema after breast cancer treatment. Cochrane Database Syst Rev. 2019;(2):1-36.

  48. Basta MN, Gao LL, Wu LC. Operative treatment of peripheral lymphedema: a systematic meta-analysis of the efficacy and safety of lymphovenous microsurgery and tissue transplantation. Plast Reconstr Surg. 2014;133(4):905–13.

    Article  CAS  PubMed  Google Scholar 

  49. Carl HM, Walia G, Bello R, Clarke-Pearson E, Hassanein AH, Cho B, et al. Systematic review of the surgical treatment of extremity lymphedema. J Reconstr Microsurg. 2017;33(06):412–25.

    Article  PubMed  Google Scholar 

  50. O’Donnell TF Jr, Allison GM, Iafrati MD. A systematic review of guidelines for lymphedema and the need for contemporary intersocietal guidelines for the management of lymphedema. J Vasc Surg Venous Lymphat Disord. 2020;8(4):676–84.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We acknowledge the remanent team members of the BG trauma centers Ludwigshafen and Frankfurt and of the Institute of Medical Biometry and Informatics of the Heidelberg University that supported us and contributed significantly to this project but did not fulfil the criteria for an authorship.

Funding

No funding involved.

Author information

Authors and Affiliations

  1. Department of Hand, Plastic, and Reconstructive Surgery, Microsurgery, Burn Centre, BG Trauma Center Ludwigshafen, Ludwig Guttmann Str. 13, 67071, Ludwigshafen am Rhein, Germany

    Patrick A. Will, Ulrich Kneser & Emre Gazyakan

  2. Medical Faculty of the University Heidelberg, Heidelberg, Germany

    Patrick A. Will, Zhenzhen Wan, Ulrich Kneser & Emre Gazyakan

  3. Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany

    Svenja E. Seide

  4. Kellogg College, University of Oxford, Oxford, UK

    Juan Enrique Berner

  5. Department of Plastic Surgery, The Royal London Hospital, London, UK

    Juan Enrique Berner

  6. Department of Plastic, Hand, and Reconstructive Microsurgery, BG-Trauma Hospital Frankfurt am Main, Frankfurt am Main, Germany

    Christoph Hirche

Authors
  1. Patrick A. Will
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhenzhen Wan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Svenja E. Seide
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Juan Enrique Berner
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Ulrich Kneser
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Emre Gazyakan
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Christoph Hirche
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

PW: conceptualization, study design, and manuscript preparation; ZW: manuscript preparation and correction; SS: statistical input, study design, and manuscript preparation, JEB: manuscript correction and screening of evidence available; UK: manuscript correction and study supervision; EG: study design and manuscript preparation; ChH: manuscript correction, conceptualization, and supervision. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Patrick A. Will.

Ethics declarations

Ethics approval and consent to participate

Not required for this study design.

Consent for publication

Of all authors, not required from patients.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1.

PRISMA-P 2015 checklist.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Will, P.A., Wan, Z., Seide, S.E. et al. Supermicrosurgical treatment for lymphedema: a systematic review and network meta-analysis protocol. Syst Rev 11, 18 (2022). https://doi.org/10.1186/s13643-022-01885-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13643-022-01885-9

Systematic Reviews

ISSN: 2046-4053