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Resistance exercise and breast cancer–related lymphedema—a systematic review update and meta-analysis

Abstract

Background

The purpose of this systematic review update and meta-analysis was to analyze resistance exercise (RE) intervention trials in breast cancer survivors (BCS) regarding their effect on breast cancer-related lymphedema (BCRL) status and upper and lower extremity strength.

Methods

Systematic literature search was conducted utilizing PubMed, MEDLINE, and Embase databases. Any exercise intervention studies—both randomized controlled and uncontrolled—which assessed the effects of RE on BCRL in BCS in at least one intervention group published between 1966 and 31st January 2020 were included. Included articles were analyzed regarding their level of evidence and their methodological quality using respective tools for randomized and nonrandomized trials of the Cochrane collaboration. Meta-analysis for bioimpedance spectroscopy (BIS) values as well as upper and lower extremity strength was conducted.

Results

Altogether, 29 studies were included in the systematic review. Results of six studies with altogether twelve RE intervention groups could be pooled for meta-analysis of the BCRL. A significant reduction of BCRL after RE was seen in BIS values (95% CI − 1.10 [− 2.19, − 0.01] L-Dex score). Furthermore, strength results of six studies could be pooled and meta-analysis showed significant improvements of muscular strength in the upper and lower extremities (95% CI 8.96 [3.42, 14.51] kg and 95% CI 23.42 [11.95, 34.88] kg, respectively).

Conclusion

RE does not have a systematic negative effect on BCRL and, on the contrary, potentially decreases it.

Introduction

Breast cancer is the most common cancer in women with incidence rates of over a quarter million new cases in the USA [1,2,3] and just short of half a million in Europe [4] representing about one third of all new cancer diagnoses in women [3]. Of those patients, about 20% develop breast cancer–related lymphedema (BCRL) over the course of their treatment [5]. Lymphedema is an excess accumulation of a protein-rich fluid which would otherwise drain through the lymphatic system and leads to a regional swelling—in the particular case of BCRL—the swelling of the arm of the affected side [6]. It is associated with symptoms like pain, heaviness, tightness, decreased range of motion, adversely affected gross and fine motor skills, impaired daily function, and decreased quality of life [7, 8]. BCRL is currently considered being an incurable and chronic disease and its treatment aims on the management of the lymphedema status and the preservation of the function of the affected arm [9]. Up-to-date standard of care is the complete decongestive therapy consisting of manual drainage, bandaging, compression, skin care, and exercise [9].

Exercise as a part of the current treatment standard of care is a more recent development. Up to the early 2000s, breast cancer survivors (BCS) were advised to refrain from “vigorous, repetitive, or excessive upper body exercise” because of the fear that these physical activities could lead to the development of a new or an increase of an existing lymphedema [10]. Only some decades ago, Harris and Niesen-Vertommen [10] started to challenge the myth that intensive physical loading of the affected arm side of BCS would lead to either the development of a fresh or the increase of an already existing BCRL. This field of research they initiated then has led to publication of over twenty resistance exercise (RE) intervention studies and a number of systematic reviews [11,12,13], and it is safe to say that the initial fears that physical loading could harm the BCS via negatively affecting the BCRL were unjustified. Moreover, there is agreement that BCS will benefit from RE through maintaining and regaining physical function of their affected arm as well as a healthy body composition and therefore reducing metabolic risk [11, 12]. However, removing the fear from and changing an old paradigm in the heads of all health care professionals—starting with all involved physicians over the nursing staff to the physical and occupational therapists—so basically everyone a breast cancer patient will be involved with during her treatment, is a tough challenge. One reason for this might be that until this day any summaries of the existing trials were limited by the fact that yet no gold standard measurement method for the assessment of BCRL has been established. Therefore, the only existing meta-analysis which tried to pool the results of the then existing literature regarding the lymphedema status after a RE intervention was forced to pool the results of different lymphedema assessment techniques [14]. Till today, the lack of a gold standard measurement method for the assessment of BCRL has prevented the conduction of a thorough meta-analysis, as the results of at least five exercise intervention studies assessing BCRL with the same assessment method are necessary to assure reliability when a small number of heterogeneous studies are used [15].

Therefore, the aims of the current study are to, on the one hand, give an update over the current literature regarding RE in BCS and, on the other hand, to perform a meta-analysis of the lymphedema status if the systematic literature review might show sufficient homogeneous BCRL assessment results present.

Methods

A systematic literature review was conducted using the scientific databases PubMed, Embase, and MEDLINE between 1966 and 31st January 2020. The search strategy included the search terms “lymphedema,” “lymphoedema” AND “breast cancer” AND “resistance exercise,” “resistance training,” “strength exercise,” “weight training,” “weight lifting,” and their possible variations. Any exercise intervention studies—both randomized controlled and uncontrolled—which assessed the effects of RE on BCRL in BCS in at least one intervention group published between 1966 and 31st January 2020 and followed or exceeded the RE intensity recommendations of the American College of Sports Medicine (ACSM) for BCS [16, 17] were considered. Moreover, assessment of the BCRL with any assessment technique and English language were deemed mandatory for being considered for inclusion. During the systematic literature research, 747 articles were found and checked for title and abstract. Of those, 46 were chosen for full-text analysis, while 701 were excluded right after analysis of the title and abstract. After full-text analysis, 29 articles fulfilled the inclusion criteria and were therefore included in the systematic review [18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46]. An overview over the selection process is presented in Supplementary Fig. 1. The process of systematic literature review as well as selection of suitable articles was conducted independently by two experienced researchers following the PRISMA reporting guidelines for systematic reviews and meta-analyses [47].

As the current article is a review update of former systematic reviews [11, 12] and exactly the same search strategy and inclusion as well as exclusion criteria were applied, the main focus of the systematic review was on the articles published since 30th September 2017, the end of the last literature search [11]. Six new articles were found [41,42,43,44,45,46] which were introduced to risk of bias analysis. Five of those articles were randomized studies [41,42,43,44, 46] and were therefore assessed with the current risk of bias tool for randomized trials of the Cochrane collaboration, the RoB 2 [48]. The sixth one, Luz et al. [45], however, was a nonrandomized trial. Therefore, the risk of bias analysis for this study was undertaken with the Risk Of Bias In Non-randomized Studies of Interventions (ROBINS-I) tool of the Cochrane collaboration [49].

All of the included studies were then checked for their LE outcome assessment and if the outcome assessment and the presentation of the results were homogeneous enough for being suitable for a meta-analysis [15]. All outcome variables measured with the same assessment method in five or more of the original studies were subject to meta-analyses. Outcome variables reported in less than five studies were not considered for meta-analysis as the results are considered unreliable when a small number of heterogeneous studies are used. Moreover, studies which performed their LE assessment with circumference measurements were disregarded due to high variability in measurement technique.

Statistical analyses

The primary endpoint of this meta-analysis is the average difference of measurements before and after training. Some authors did report the average differences as well as their standard deviations. For the studies which lacked this information, the mean differences were calculated with simple subtraction (“mean.follow-up” − “mean.baseline”). The standard deviations were calculated via confidence intervals (i.e., a two-sided, confidence interval for a paired sample mean difference from a normal distribution with unknown variance). Other missing standard deviations were estimated using the average correlation of other studies. The statistical analyses were calculated using meta-analyses with a random intercept for each study. The models were fitted via restricted maximum-likelihood (“REML”) estimation; test statistics and confidence intervals for the fixed effects were computed based on t-distribution. All statistics were conducted using package metafor, R (version 3.6).

Results

Level of evidence and risk of bias analysis

Levels of evidence as well as the type of study design are depicted in Table 1. Of the newly included studies [41,42,43,44,45,46], all but Luz et al. [45] were classified 1b and can therefore be ranked high in the hierarchy of evidence.

Table 1 Level of evidence and study design of the included studies published since 30th September 2017 and details of previous studies published in Hasenoehrl et al. [11] and Keilani et al. [12]

Risk of bias analysis

The risk of bias analysis showed good methodological quality in the randomized trials [41,42,43,44, 46] with overall low risk of bias in three articles [41, 42, 46] and moderate risk of bias in two articles [43, 44] (Supplementary Fig. 2). The only nonrandomized trial showed serious overall risk of bias [45] (Supplementary Table 1).

Patients and exercise details

Patients and exercise details can be found in aggregated form in Table 2. To complete Table 2, more detailed information regarding the exercise intervention was derived from two earlier articles [50, 51].

Table 2 Patient details, lymphedema status, and exercise details of the independent studies published since September 2017 and details of previous studies published in Hasenoehrl et al. [11] and Keilani et al. [12]

Lymphedema assessment

Details of the LE assessment can be found in aggregated form in Table 3. To complete Table 3, more details regarding the calculation of limb volume from circumference measurements were derived from Taylor et al. [52].

Table 3 Lymphedema assessment, measurement details, and outcomes of the 6 newly included articles [41,42,43,44,45,46] published since September 2017 and details of previous studies published in Hasenoehrl et al. [11]

Meta-analyses of lymphedema (BIS)

After thorough analysis of the reported LE data in all included studies, the results of six RE intervention studies [20, 21, 30, 33, 42, 43] could be pooled for a meta-analysis. All of those studies assessed BCRL with BIS and reported L-Dex values. Test for heterogeneity was not significant, and therefore, homogeneity between the studies can be assumed (Q(df = 11) = 10.7104, p = 0.4678). The mean differences as well as their standard errors are presented in Supplementary Table 2. As indicated in Fig. 1, RE was associated with a significant decrease in L-Dex values (95% CI − 1.10 [− 2.19, − 0.01]). The funnel plot for BIS showed no sign of publication bias (Supplementary Fig. 3).

Fig. 1
figure1

Forest plot bioimpedance spectroscopy (BIS)

Meta-analyses of upper extremity strength

After thorough analysis of the reported strength data in all included studies, the results for upper extremity strength (chest press) could be pooled from six studies [18, 20, 22, 25, 32, 43]. Test for heterogeneity of upper extremity strength was significant which implies heterogeneity between the studies (Q(df = 7) = 275.37, p < 0.0001). The mean differences as well as their standard errors are presented in Supplementary Table 3. The meta-analysis model for upper extremity strength showed significant higher strength values after RE (95% CI 8.96 [3.42, 14.51]) (Fig. 2). The funnel plot for upper extremity strength showed no sign of publication bias as the observed outcome is evenly distributed around the average (Supplementary Fig. 4).

Fig. 2
figure2

Forest plot upper extremity strength (chest press)

Meta-analyses of lower extremity strength

After thorough analysis of the reported strength data in all included studies, the results for lower extremity strength (leg press and extension) could be pooled from six studies [18, 20, 22, 25, 32, 41]. Test for heterogeneity of upper extremity strength was significant which implies heterogeneity between the studies (Q(df = 7) = 560.423, p < 0.0001). The mean differences as well as their standard errors are presented in Supplementary Table 4. The meta-analysis model for lower extremity strength showed significant higher strength values after RE (95% CI 23.42 [11.95, 34.88]) (Fig. 3). The funnel plot for lower extremity strength showed no sign of publication bias as the observed outcome is evenly distributed around the average (Supplementary Fig. 5).

Fig. 3
figure3

Forest plot lower extremity strength (leg press and extension)

Discussion

To our knowledge, this is the first time that a meta-analysis pooled homogeneous BCRL outcome measures of five or more RE intervention trials with BCS. The results of this meta-analysis suggest that RE has a significant positive effect on BCRL in BCS. In the year 2000, Harris and Niesen-Vertommen [10] were the first to publicly challenge at that time the prevalent paradigm that physical loading of the affected arm could exacerbate an existing or trigger the development of a fresh BCRL in patients suffering from breast cancer. The first series of resistance exercise intervention studies enabled the publication of the first systematic reviews about this topic in the mid-2010s [12, 13] all of them concluding that RE will most probably not have a systematic negative effect on the BCRL. However, due to the absence of an LE assessment gold standard and therefore inconsistent assessment techniques, it has not been possible up-to-date to perform a thorough meta-analysis. So, to our knowledge, this is the first meta-analysis which pooled the same LE outcome parameters and showed that RE is not just not detrimental but beneficial for the BCRL.

However, those results need to be treated with caution for several reasons. First, the pooled BIS results might have been homogeneous regarding outcome assessment, but unfortunately, they were not regarding study protocol and therefore measurement times. While four of the studies were assessing acute responses of the BCRL [21, 30, 33, 42], the two others were assessing chronic responses [20, 43]. We can therefore not differentiate between short-term and long-term responses. The average effect, however, is significant.

Second, the effect size of the pooled effect is relatively small. However, as just mentioned before, the RE intervention times were heterogeneous regarding duration, and only two of the studies had RE intervention times of 12 weeks [20, 43]. It might therefore be possible that the effect becomes stronger with longer intervention times.

Third, the studies did not differentiate between patients who underwent sentinel lymph node dissection and those who received full axillary dissection. As the surgery technique and, therefore, the number of residual axillary lymph nodes might be decisive factors for the efficacy of RE on the lymphatic drainage, this differentiation should be considered in future research.

Fourth, RE intensities were mixed together starting with low intensity RE groups [20, 21, 30, 42] to moderate intensity RE groups [30, 33] to high intensity RE groups [20, 21, 30, 43] and even one very high intensity RE group [42]. We are therefore not able to differentiate between different RE intensities but on the other hand get a result which is representative for the heterogeneity of RE interventions in practice.

And fifth, the assessment technique BIS might be able to measure a patient’s total body water as well as extracellular and intracellular fluid volumes, but cannot differentiate between arm LE and arm muscle mass [53, 54]. This is particularly important in RE intervention studies as muscle can grow underneath an existing LE and more likely in the affected arm [27]. This is also an argument against assessment of BCRL with circumference measurements. Of all the included studies, twelve assessed BCRL with circumference measurements either as the sole BCRL measurement or as an additional parameter [18, 20, 21, 24, 28,29,30,31,32,33, 44, 45]. Although technically the sheer amount of results would allow conducting a meta-analysis, the results of these measurements were not used because of the various different measurement techniques which were utilized. Moreover, assessment of the arm volume alone is just not sufficient in RE intervention studies where muscle growth has to be considered, particularly in studies which focus on the chronic, long-term response of the affected arm. This specific assessment limitation might distort the results of several RE intervention studies. Ammitzbøll et al. [41], for example, measured higher arm volumes in the RE than in the control group (using water displacement). However, the results of their DXA suggested volume difference probably due to a better maintenance of muscle mass in the RE group compared to the control group [41]. Bloomquist et al. [43], on the other hand, described the point prevalence of LE defined by L-Dex values larger than ten. They reported in their HI-RE group no BCRL at baseline, but at the 12 and the 39 weeks follow-up, about 10% of the participants had L-Dex values indicating BCRL [43]. However, it is impossible to thoroughly understand these results, as in this study only LE assessment techniques were utilized which are unreliable regarding arm tissue differentiation in BCRL (BIS and DXA). Considering these limitations and the results of this meta-analysis, it is of utmost importance that in future RE intervention studies with breast cancer patients LE assessment techniques are utilized which allow for arm tissue differentiation, because it is still unclear, if the BCRL deterioration which was reported in those few patients is truly representative for the worsening of the LE or if in reality it might be a measuring error due to flawed assessment methods which do not allow for the assessment of muscle growth. This remains to be resolved in future research.

Furthermore, the results of the current meta-analysis open several new questions for future research. First, if RE might be beneficial for BCRL, which RE mode is most efficient? Which intensity? Which exercises? Second, do all BCS benefit from the same exercises? Are there maybe treatment-related factors like the number of residual axillary lymph nodes which might determine the efficacy of the RE intervention? Third, a RE intervention is a very controlled environment where patients perform cyclic contractions of predefined exercises. Can the positive results of those RE intervention studies actually be generalized to any (exhausting) physical loading of the upper extremities? Is the controlled RE environment really representative for any physical loading of the upper extremities that patients might be confronted with in their private and work environment?

The following limitations of the study have to be taken into account: First, as already mentioned, the BIS results of this meta-analysis might have been homogeneous regarding the LE assessment method but are heterogeneous regarding measurement time as well as exercise intensities. However, this form of heterogeneity of the studies used for the meta-analysis was representative for the entirety of the published literature. And second, those papers which could be utilized to show the pooled effect for upper and lower extremity strength were only partially the same papers which were used for the pooled BCRL analysis. BCRL and strength results from one and the same paper were meta-analyzed only of two studies [20, 43].

The strengths of this study include the systematic approach to the data collection and the study design as both a systematic review and a meta-analysis and therefore the comprehensive display of the results. Moreover, this article has been drafted by a group of researchers who has profound experience in conducting systematic reviews and meta-analyses in the field of exercise oncology [11, 12, 55, 56].

Nevertheless, the results of the current meta-analysis cannot be directly translated into clinical practice without taking some safety precautions. As long as it is unclear why a small number of patients experience a potentially detrimental effect of RE on their BCRL, it has to be concluded that several safety measures should always be considered before RE recommendation. First, inclusion in and clearance for RE intervention programs should always be undertaken after thorough clinical examination of a medical specialist. Second, the development of the BCRL should always be monitored during the RE intervention program. And third, this RE intervention program should be at least partially supervised by an exercise specialist.

However, considering the significant reduction of BCRL which has been shown in our respective meta-analysis model, the shift of paradigm regarding RE in patients suffering from or at risk of BCRL which has started 20 years ago, when BCS were advised to refrain from intensive loading of their affected arms, seems to have come to a complete turnaround into its opposite.

Data availability

This review was written complying the international guidelines of good scientific practice. As this is a review article, no primary data is available but all background information concerning the methodology of the creation of this paper is open for journal review if requested.

This paper was written by an interdisciplinary team at the Department of Physical Medicine, Rehabilitation and Occupational Medicine, Medical University of Vienna, Austria. The preparation of this review took place within the scope of the regular research work.

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Funding

Open Access funding provided by Medical University of Vienna.

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Authors

Contributions

TH, MK, HK, TED, and RC made substantial contributions to the concept, and TH, SP, and RC made substantial contributions to the design. TH and SP participated in literature research and data acquisition. TH, SP, and DR contributed to the analyses. TH, DR, and RC interpreted data. Most of the report writing was completed by TH, SP, and TED. However, all authors participated in drafting or revising content for important intellectual content and gave approval of the final version to be published.

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Correspondence to Richard Crevenna.

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Supplementary Fig. 1

Flowchart of the systematic literature research and the selection process. ACSM American College of Sports Medicine, RE Resistance Exercise, LE Lymphedema (JPG 105 kb)

Supplementary Fig. 2

RoB 2: Cochrane risk of bias assessment of the randomized trials included since September 30th 2017, details of previous studies published in Hasenoehrl et al. (2020) [11] and Keilani et al. (2015) [12] (JPG 62.4 kb)

Supplementary Fig. 3

Funnel plot Bioimpedance Spectroscopy (BIS). (JPG 60 kb)

Supplementary Fig. 4

Funnel plot upper extremity strength (chest press). (JPG 58 kb)

Supplementary Fig. 5

Funnel plot lower extremity strength (leg press & extension). (JPG 59 kb)

Supplementary Table 1

(DOCX 15.8 kb)

Supplementary Table 2

(DOCX 16.1 kb)

Supplementary Table 3

(DOCX 17.1 kb)

Supplementary Table 4

(DOCX 16.8 kb)

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Hasenoehrl, T., Palma, S., Ramazanova, D. et al. Resistance exercise and breast cancer–related lymphedema—a systematic review update and meta-analysis. Support Care Cancer 28, 3593–3603 (2020). https://doi.org/10.1007/s00520-020-05521-x

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Keywords

  • Breast neoplasm
  • Breast cancer survivors
  • Resistance training
  • Secondary lymphedema
  • Strength
  • Medical training therapy
  • Lymphedema assessment