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Effects of blood-flow restricted exercise versus conventional resistance training in musculoskeletal disorders—a systematic review and meta-analysis

Abstract

Objective

To compare the effect of low-load blood flow restricted resistance training (BFR-RT) versus high-load resistance training (HL-RT) on muscle strength, muscle mass, physical function, patient-reported outcomes, and adherence to training in clinical musculoskeletal populations.

Data sources

Web of Science, Cochrane Central, Medline, Embase, SportDiscus was searched on the 30th May 2022.

Review methods

This study was conducted as a systematic review and meta-analysis. Randomized Controlled Trials (RCTs) were included if they (i) included patients, (ii) comprised of a BFR-RT intervention protocol and a group who performed HL-RT (≥ 70%1RM) for at least eight exercise sessions, and (iii) involved at least 1 exercise that targeted the lower limbs. The Cochrane Risk of Bias tool was used to evaluate the risk of bias. The meta-analyses were performed using a random effects model with an adjustment to the confidence interval.

Results

Seven RCTs comprising 303 participants (BFR-RT: n = 151; HL-RT: n = 152) were identified. HL-RT and BFR-RT showed similar gains in dynamic (1-10RM) knee extensor strength and leg press strength, quadriceps cross sectional area, sit-to-stand performance, and patient reported pain and function. There was a moderate effect favoring BFR-RT for increasing maximal isometric knee extensor strength. The grading of certainty in evidence was low-to-very low for all outcome variables.

Conclusion

This systematic review and meta-analysis extends our current knowledge about BFR-RT and HL-RT as equally effective exercise methods for inducing gains in maximal muscle strength in healthy populations, by now also comprising patients suffering from various clinical musculoskeletal conditions. The certainty in the estimates was low-to-very low, prompting the inclusion of future higher-quality trials.

Trial registration

PROSPERO ID (CRD42022337173). Registered June 18th 2022.

Peer Review reports

Introduction

Recent systematic reviews with meta-analysis have suggested that low-load resistance training (20–50% of one repetition maximum (RM)) combined with blood flow restriction to the exercising limb (low-load blood flow restricted resistance training: BFR-RT) and high-load resistance training (HL-RT, ≥ 70% 1RM) are equally effective in inducing gains in skeletal muscle mass in healthy populations ranging from young-to-old [1,2,3]. Therefore, BFR-RT has been suggested as a feasible exercise method in various clinical populations, where either fragile post-surgical conditions or the injury itself may restrict patients from exercising at higher muscle loading intensities [4, 5]. Loss of skeletal muscle mass and strength due to immobilization or general unloading is a well-known challenge among patient populations [6,7,8]. Further, loss of muscle mass and strength has been associated with declines in physical function [9] which, ultimately, could result in chronically reduced physical function [10]. Regaining habitual levels of muscle mass and strength after periods of bedrest or unloading may be challenging and, as a consequence, deficits in muscle strength often persist despite systematic post-injury rehabilitation efforts [11, 12]. Therefore, it is considered of strong relevance for patients to engage in exercise-based activities that preserve or promote skeletal muscle mass and mechanical muscle function (strength, power, rate of development: RFD) to countermeasure the negative impact of disease burden and disuse on muscle morphology, maximal muscle strength and function performance [13].

A number of clinical studies have reported comparable gains in both muscle mass and maximal muscle strength with BFR-RT vs. HL-RT in patients suffering from knee osteoarthritis (OA) [14], anterior cruciate ligament reconstruction [15], rheumatoid arthritis [16], and patellofemoral pain syndrome [17, 18]. A recent meta-analysis by Lixandrao et al. [1] revealed a superior effect of HL-RT compared to BFR-RT on evoking gains in maximal muscle strength, whereas a subsequent meta-analysis by Grønfeldt et al. [19] reported comparable gains in maximal muscle strength in response to BFR-RT vs. HL-RT. Despite the increasing application of BFR-RT in various patient populations [14,15,16,17, 20,21,22,23,24,25], the available data has not been summarized in a systematic review and meta-analysis to investigate if BFR-RT is equally effective compared to HL-RT of inducing gains in (i) maximal isometric and dynamic muscle strength, (ii) skeletal muscle mass, and (iii) physical function in clinical populations.

Therefore, the aim of this systematic review and meta-analysis was to evaluate the effect of BFR-RT vs. HL-RT on lower limb muscle strength and mass, objectively measured physical function, patient-reported outcomes (function and pain), and adherence to training in given patient populations with musculoskeletal conditions.

Materials and methods

Search strategy

The protocol for this systematic review was published online at the International Prospective Register of Systematic Reviews (PROSPERO: CRD42022337173). The systematic review was performed according to the PRISMA [26] guidelines. Original peer-reviewed articles were identified by searching the following electronic databases on May 30th 2022: Web of Science, The Cochrane Central Register of Controlled Trials, Medline, Embase and SportDiscus. An updated search was conducted April 23rd 2023 where no new studies were identified. No restrictions were used in terms of publication language or publication year. Specific search terms are presented in Table 1.

Table 1 Search strategy

Inclusion and exclusion criteria

Inclusion criteria comprised randomized controlled trials involving patients suffering from a condition or injury that requires conservative, medical or surgical treatment. Included trials needed to have comprised of a specific intervention involving at least one intervention group performing low-load (≤ 50% 1RM) BFR-RT and a group performing conventional high-load (≥ 70% RM) resistance training, performed for at least eight exercise sessions. At least one exercise was required to target the lower limbs, performed with free weights, in weight machines, with elastic band resistance, or with body weight exercises. Loading intensity (% 1-RM or number of reps to failure) had to be reported. Included studies had to report on at least one of the following post-intervention outcome parameters: Maximal isometric or isokinetic knee extensor strength, repetition maximum knee extensor strength, repetition maximum leg press strength, quadriceps cross-sectional area (CSA), sit-to-stand (STS) performance, maximal walking speed, patient-reported function ( i) function reported disease-specific questionnaires or ii) global questionnaires), patient-reported pain (i.e. i) pain reported in disease-specific questionnaires, ii) global questionnaires, iii) Numeric Ranking Scale (NRS) for worst pain), adherence to training, or the number of dropouts.

Trials were excluded if the publication language was not English. We did not set restrictions for publication date.

Study selection and data extraction

Study inclusion was managed in Covidence (Veritas Health Innovation, Melbourne, Australia). A combination of two reviewers (SJ, SKB/MH) independently screened titles and abstracts to identify potentially eligible trials based on predetermined criteria. The full text of potentially eligible papers was retrieved and independently assessed by the same reviewers to determine eligibility. Any disagreements were resolved via consensus or by consulting a fourth author (IM) when necessary. A combination of two reviewers (SJ, MH/MBB) separately performed data extraction using a pre-specified excel spreadsheet. Disagreements were solved by discussion until agreement was reached. Otherwise, a third author was consulted (IM). The following data were extracted from each study:

  1. 1.

    Trial characteristics (sample size, first author name, year of publication, type of trial, country).

  2. 2.

    Participant characteristics (age, sex, body mass).

  3. 3.

    Intervention procedures for each group, including exercise protocols.

  4. 4.

    Co-interventions, if any, reported for each group.

  5. 5.

    Outcomes variables reported, including time of assessment.

Quality assessment

Risk of bias assessment

Two reviewers (SJ, IM) independently assessed the risk of bias using Cochrane’s risk of bias tool version 2.0 (RoB) [27] and discrepancies were resolved through discussion until reaching consensus. RoB assessment scores on the reporting of judgement items were: (i) Adequate (bias, if present, is unlikely to alter the results seriously), (ii) Unclear (a risk of bias that raises some doubt about the results), and (iii) Inadequate (bias may alter the results seriously), corresponding with (i) Low risk, (ii), Some concerns, and (iii) High risk of bias. The RoB analysis was performed separately for objective outcomes (i.e. lower limb strength, quadriceps CSA, STS) and patient-reported outcomes (function and pain) and included five distinct aspects of reporting: the randomization process, deviations from the intended intervention, missing outcome data, measurement of the outcome variables, and selected reporting of the obtained results.

Certainty assessment

Two reviewers (SJ, IM) rated the certainty in the evidence for each outcome variable using Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) [28, 29] (Table 3). Overall GRADE scores were categorized as “very low”, “low”, “moderate”, or “high” [29].

Statistical analyses

Outcome variables were reported using different units across studies. Hence, the effects of low-load BFR-RT and HL-RT were evaluated by calculating the post-intervention standardized mean difference (SMD) estimated by Hedges’ g as \(\frac{mean1 - mean2}{SDpooled}\) along with the 95% confidence interval (CI), where mean1 denotes the post-intervention score for BFR-RT group and mean2 denotes the post-intervention score for the HL-RT group. Also, we included the 95% prediction interval (PI) graphically in the figures. For interpretation of SMD, the following definitions were adopted: > 0.2 small effect; > 0.5 moderate effect; > 0.8 large effect [30]. SD*pooled.

Heterogeneity between included studies was assessed using the I2 statistics and interpreted as low (I2 = 30–60%) and high (I2 ≥ 60%) [31, 32]. Given that a relatively small number of trials were included in each meta-analysis (often less than 6 studies), a random effects model was performed with an adjustment to the CI as proposed by Sidik and Jonkman [33].

All statistical analyses were conducted using Stata 17.0 (StataCorp, TX, USA).

Results

Study selection

A total of 419 study records were identified, of which 148 were discarded as duplicates (Fig. 1). From the remaining 270 studies, 251 were excluded through title screening and abstract assessment, while 19 studies were excluded following full-text reading, and one study was excluded as SMD could not be calculated from the reported data [34]. Consequently, a total of seven studies [14,15,16,17,18, 35, 36] were included in the present meta-analysis.

Fig. 1
figure 1

PRISMA flow chart

Study characteristics

Individual trial characteristics are summarized in Table 2. A total of 303 patients allocated to either BFR-RT or HL-RT were included in the overall meta-analysis (152 BFR-RT/151 HL-RT). Mean age in each individual trial ranged from 25.5 ± 10.4 to 63.3 ± 7.0 years, altogether comprising 61% patients who were women. The included study populations were: patellofemoral pain syndrome [17, 18], knee OA [14, 36], anterior cruciate ligament reconstruction surgery [15], rheumatoid arthritis [16], and military personnel suffering from musculoskeletal lower-limb injuries [35].

Table 2 Study characteristics

All trials included at least one intervention group performing BFR-RT and at least one intervention group performing HL-RT, with six trials reporting the intensity as %1RM [14,15,16,17,18, 36] and one trial reporting intensity as 8RM [35]. Duration of BFR-RT varied from 2–3 sessions/week for 4–12 weeks in six of the included trials [14,15,16,17,18, 36] and 2 sessions/day for three weeks in Ladlow et al. [35]. Duration of HL-RT varied from 2–3 sessions/week for three to 12 weeks in all trials. Adherence to training ranged from 83%-100% and 83%-90% for BFR RT and HL-RT, respectively. Ferraz et al. [14] reported 10 dropouts (BFR-RT: n = 4 vs. HL-RT: n = 6) and four adverse events (HL-RT: n = 4), Giles et al. [17] reported 10 dropouts (five in each group), Hughes et al. [15] reported four dropouts (two each group), and Rodrigues et al. [16] reported 1 drop out (HL-RT: n = 1) and one adverse event (HL-RT: n = 1).

Risk of bias assessment

Our RoB assessment for all included trials is presented in Fig. 2. RoB was deemed low for the objective outcome measures reported in Giles et al. [17], while some concerns were found for the objective outcome measures reported by Rodrigues et al. [16], Bryk et al. [36], Constantinou et al. [18], and Hughes et al. [15]. High risk of bias was noted for Ferraz et al. [14] and Ladlow et al. [35] for their objective outcome measures. RoB for the patient reported outcome variables was deemed to be high in all included trials.

Fig. 2
figure 2

Risk of bias assessment

Certainty in evidence

The grading of certainty in evidence was low-to-very low for all outcome variables (Table 3).

Table 3 Summary of findings (SoF) table

Synthesis of results

Seven RCTs were included in the present meta-analyses [14,15,16,17,18, 35, 36]. A number of separate meta-analyses were performed to compare the intervention effect of BFR-RT vs. HL-RT on: knee extensor MVC [15, 17, 18, 36], Maximal (1–10 RM) dynamic knee extensor strength (knee extensor strength) [14, 16, 35], maximal (1–10 RM) dynamic leg press strength (leg press strength) [14,15,16, 35], quadriceps muscle CSA [14, 16, 17, 35], STS performance [14, 16], (Fig. 3), as well as on patient reported function [14] and patient reported pain [14, 15, 17, 36] (Fig. 4).

Fig. 3
figure 3

Forrest plots on muscle mass, muscle strength, and sit-to-stand performance

Fig. 4
figure 4

Forrest plots on post-intervention patient-reported outcomes

No post-intervention differences were observed between BFR-RT and HL-RT on knee extensor strength, leg press strength, quadriceps CSA, STS performance, patient reported function, or patient reported pain (Fig. 3). In contrast, a small effect favoring BFR-RT was observed for knee extensor MVC (SMD = 0.47 [0.12,0.81]) (Fig. 3).

Discussion

The main finding in the present study was that BFR-RT and HL-RT produced comparable follow-up outcomes for dynamic lower limb muscle strength, knee extensor muscle CSA, STS performance, and patient reported function and pain in patient groups involving patellofemoral pain syndrome [17, 18], knee osteoarthritis [14, 36], anterior cruciate ligament reconstruction surgery [15], rheumatoid arthritis [16]; and musculoskeletal lower-limb overuse injury [35]. Interestingly, while training adherence and dropout rates were equal between BFR-RT and HL-RT, fewer adverse events were noted with BFR-RT (0 vs. 5 adverse events). Notably also, larger follow-up scores in knee extensor MVC were observed in patients randomized to BFR-RT than HL-RT intervention (Fig. 3). Consequently, low-load BFR-RT may be considered a viable modality with no evidence of difference in follow-up scores between BFR-RT and HL-RT in maximal muscle strength, muscle mass, physical function and patient reported outcomes across various musculoskeletal and rheumatoid patient populations [14,15,16,17,18, 35, 36].

Maximal muscle strength

Notably, significantly higher follow-up scores in knee extensor MVC were observed in response to BFR-RT compared to conventional HL-RT. This observation may appear surprising given that all the individual studies measuring knee extensor MVC [15, 17, 18, 36] were unable to detect any between-group difference in the magnitude of change, and previous meta-analyses have reported either comparable gains in maximal muscle strength with BFR-RT vs. HL-RT [19] or larger gains with HL-RT [1]. However, as proposed in two previous studies [37, 38] an increase in unspecific strength (i.e. a task none-similar to the exercises performed) is more difficult to detect. Based on the 95%PI our results appear to conform with these previous results [37, 38]. Although interestingly, a sub-group analysis conducted by Giles et al. [17] showed greater improvements in maximal knee extensor MVC following BRT-RT vs. HL-RT in patients with patellofemoral pain syndrome affected by pain when exercising. This may suggest that if musculoskeletal pain is limiting the ability to perform resistance exercise, which may especially be the case during the early phase of rehabilitation, reducing the magnitude of mechanical strain on the affected limb using low exercise loads (20–30% 1RM) and applying ischemia during and between the exercise bouts may have increased the tolerance towards and thereby effectiveness of the training performed.

Maximal dynamic muscle strength

In terms of maximal leg press- and knee extensor strength, no differences were observed between follow-up scores for BFR-RT and HL-RT. However, as illustrated in Table 2, both BFR-RT and HL-RT appear to induce significant gains in strength from baseline to follow-up. Therefore, the results from the present meta-analyses appear to be consistent with the individual study findings since all studies included in the meta-analysis found comparable strength gains in leg press strength and dynamic knee extensor strength following BFR-RT vs. HL-RT (Table 2) [14,15,16, 35]. These observations support previous conclusions, suggesting that adaptations to strength usually is greater in the exercises that was trained (specific strength) [19, 37]. The present meta-analysis demonstrate similar trend in patients suffering from various lower limb conditions.

To achieve gains in skeletal muscle size and strength, it is imperative to engage fast-twitch type II muscle fibers as these fibers generally demonstrate a more pronounced hypertrophic capacity compared to the slow-twitch type I muscle fibers [39, 40]. Notably, both HL-RT and low-load BFR-RT appear to mediate gains in muscle strength and size, respectively, with no evidence of differences in follow-up scores in selected patient groups (present data) as well as in healthy populations which has been demonstrated in previous systematic reviews [1, 19, 41].

Muscle cross-sectional area

Preserving skeletal muscle mass is of vital importance in a number of patient populations [3, 13, 42]. However, due to post-surgical load restriction guidelines and/or pain restrictions [5, 42, 43], it can often be difficult to employ sufficiently high loading intensities to promote skeletal muscle hypertrophy in given individual patients. Therefore, BFR-RT has become increasingly popular in the rehabilitation of musculoskeletal disorders as its stimulating effects on muscle growth has become well-established [3, 19, 44]. In accordance with Henneman’s ‘size principle’ heavy training loads normally are required to achieve maximal muscle fiber recruitment within the exercising muscle, which is a prerequisite for evoking adaptive changes in muscle morphology and neural activation [45, 46]. With low-load BFR resistance exercise, the resulting ischemic intramuscular environment give rise to metabolic stress mediators that have been suggested to increase type II muscle fiber recruitment, induce muscle cell swelling resulting in increased mechanotransducive signaling, and to stimulate satellite cell proliferation and myonuclei accretion [39, 47], altogether contributing to the hypertrophic response. The present observation indicating no evidence of difference in follow-up scores of BFR-RT and HL-RT in quadriceps muscle CSA in clinical patient groups comprising patellofemoral pain syndrome [17, 18], musculoskeletal lower-limb overuse injury [35], rheumatoid arthritis [16], and knee osteoarthritis [14, 36] (cf. Fig. 3) may not be surprising. In line with our study, although comprising a fewer number of studies, similar observations were reported in a recent meta-analysis involving patients with osteoarthritis and rheumatoid arthritis Thus, as suggested by Ladlow et al. [35], exercising at lower loading intensities reduces the joint forces hence reducing the degree of joint/injury-specific pain and ultimately allowing to reach higher levels of perceived exertion compared to HL-RT. Also, reducing the load can increase the overall greater training volume, which have been proven to equally efficient in increasing skeletal muscle CSA as HL-RT at 60–80% 1RM [48].

Physical function

Only Ferraz et al. [14] and Rodrigues et al. [16] assessed STS performance after BFR-RT vs. HL-RT. STS function is commonly used test to assess physical function, especially in older patient populations and patients suffering from lower limb OA [25, 49, 50]. As indicated by the present meta-analysis no significant difference in follow-up scores emerged between the groups engaging in BFR-RT compared to HL-RT. As all four groups displayed a significant within-group improvement from baseline-to-follow-up (Table 2), both BFR-RT and HL-RT appeared able to induce changes in physical function (Fig. 3).

Patient-reported outcomes for pain and function

While improved following training (Table 2), none of the patient-reported outcome variables were selectively favored by BFR-RT or HL-RT. Interestingly, this observation is somewhat inconsistent with the findings of the individual studies. Thus, Hughes et al. [15] found significantly greater improvements in measures of patient-reported physical function and pain over eight weeks of training with BFR-RT vs HL-RT. In addition, Ferraz et al. [14] noted that BFR-RT and HL-RT led to similar improvements in patient-reported physical function, while only BFR-RT improved pain. Contributing to the contradictory results, Rodrigues et al. [16] reported that only HL-RT improved patient-reported physical function while BFR-RT improved pain. Nonetheless, the present meta-analysis on selected patient-reported outcome found no evidence of difference in follow-up scores between on these parameters.

Adherence and adverse events

Collectively, a high adherence (80–100%) to the prescribed training was observed across studies for both intervention modalities. Further, a low number of dropouts were observed, with only Ferraz et al. [14] reporting a relatively high dropout rate (10 of 32 participants). Also, four of a total of five reported adverse events across trials were observed by Ferraz et al. [14], all caused by exercise-induced knee pain with HL-RT. A single adverse event was reported by Rodrigues et al. [16], which was due to exercise-induced patellofemoral pain with HL-RT. Notably, no adverse events were reported with BFR-RT across a variety of patient populations. Thus, based on the present observations of equal follow-up scores in muscle strength, muscle mass, physical function (STS), and patient-reported outcomes along with high adherence and no (BFR-RT) or only few (HL-RT) adverse events, patient preferences and motivation should be taken into account, when deciding on whether to apply BFR-RT or HL-RT in the rehabilitation setting. However, it is important to recognize that BFR-RT protocols are typically cautiously applied in clinical trials, resulting in relatively strict in- and exclusion criteria. Thus, the low number of adverse events observed in the trials included in the present meta-analysis may not necessarily reflect a general safety profile of BFR-RT, as more fragile patients often are selectively excluded from longitudinal exercise studies. Nonetheless, the present observations along with previous study reports suggest that high training adherence and ample safety precautions can be achieved with the use of BFR-RT in selected clinical populations [21,22,23, 51, 52].

Methodological considerations

In terms of methodological strengths, the present study conformed to guidelines outlined by the Cochrane Handbook for Systematic Reviews of Interventions [version 6.2 (updated February 2021)], the PRISMA statement [26] and the GRADE Evidence to Decision framework [53]. Specifically, all inclusion and exclusion criteria were stated a priori, while all included trials used a RCT design and reported data on key exercise variables (i.e. intensity, type, frequency and duration).

A number of limitations may be mentioned with the present meta-analysis. First, the relatively low number of studies (n = 7, 303 patients) included in the present analysis along with relatively small populations in the individual studies limits the interpretation of the present observations. This is also reflected by large PIs for all outcome parameters, suggesting that future studies may impact the results of the present study. However, since only RCTs were included and we applied a random effects analysis model adjusted for CI due to the low number of studies included [33, 54], the present results may still represent a valid assessment of the follow-up scores between BFR-RT versus HL-RT in the rehabilitation of selected patient groups.

Basic exercise parameters such as training frequency, duration, load, and the total training volume for the lower limbs (specifically the quadriceps muscle) varied markedly between the included studies. For instance, in Ladlow et al. [35] the BFR-RT group trained twice daily for three weeks while the HL-RT Group performed three HL-RT per week for three weeks. However, it was beyond the scope of this systematic review to investigate the specific dose–response relationship of BFR-RT versus HL-RT. Also, we allowed studies to be included with as little as eight planned exercise sessions. Obviously, eight sessions would result in a very low total training volume, however, to ensure inclusion of all studies comparing BFR-RT and HL-RT, we decided on this cut-off point.

Initially, we intended to also include patients suffering from various cardiovascular and medical conditions (cf. PROSPERO registration) to allow sub-group analysis on selected outcome parameters. However, no eligible trials on patients suffering cardiovascular diseases were retrieved. Interestingly, from our title/abstract screening, we excluded several protocols registered on clinicaltrial.org on effect of BFR-RT in patients suffering from chronic obstructive pulmonary disease, type 2 diabetes, coronary heart disease patients, chronic heart failure patients, and patients with ischemic stroke. This warrants an update of the current systematic review and meta-analyses within a few years.

Since the present meta-analysis included patients with a wide diagnosis range, considerable inter-individual variations were observed in terms of basic patient characteristics such as age, body mass, body mass index, and baseline measures of strength and physical activity. Consequently, the present study populations were quite inhomogeneous. Conversely, the objective outcome measures evaluated in the present meta-analysis (e.g. maximal isometric and dynamic muscle strength, muscle CSA, STS performance) were obtained using validated assessment methods usually considered of high reliability. Given that the present meta-analysis evaluated follow-up scores between BFR-RT versus HL-RT on a number of clinically important outcome variables, we believe that the present observations and conclusions may aid clinical decision making in the prescription of exercise-based rehabilitation in given patient populations.

The present study did not compare the interventions to a non-exercising control group. Therefore, we cannot draw any conclusions on effectiveness of the BFR-RT and HL-RT. Also, none of the trials in the meta-analyses included a non-exercising control group. Ferraz et al. [14] and Rodrigues et al. [16] included a group performing low-load resistance training (LL-RT) without BFR. Both studies demonstrated that LL-RT was inferior to BFR-RT og HL-RT in inducing gains in strength, physical function [14, 16]. In contrast, LL-RT appeared able to induce significant within-group changes in pain and patient-reported physical function [14]. Thus, to determine the effectiveness of BFR-RT and HL-RT, future studies are warranted to include non-exercising controls.

Notably, the certainty in the estimates was deemed low-to-very low in the present meta-analyses, mainly resulting from a failure to adopt the intention-to-treat principle, lack of observer/tester blinding, inhomogeneous populations, differences in assessment methods, and small study populations. This means that the outcome of present meta-analysis may change with the inclusion of future high-quality trials.

Conclusions

Based on the present meta-analysis, the current evidence shows that BFR-RT and HL-RT produce comparable follow-up scores in maximal muscle strength, quadriceps cross-sectional area, physical function, and patient reported outcome measures of function and pain. BFR-RT and HL-RT resulted in similar exercise adherence rates, and involved only few and minor adverse events. BFR-RT may be considered a feasible exercise method in the clinical rehabilitation setting. Certainty in the derived estimates was low-to-very low, prompting for future high-quality trials, including non-exercising control groups.

Availability of data and materials

Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.

References

  1. Lixandrao ME, Ugrinowitsch C, Berton R, Vechin FC, Conceicao MS, Damas F, et al. Magnitude of muscle strength and mass adaptations between high-load resistance training versus low-load resistance training associated with blood-flow restriction: a systematic review and meta-analysis. Sports Med. 2018;48(2):361–78.

    Article  PubMed  Google Scholar 

  2. Rodrigo-Mallorca D, Loaiza-Betancur AF, Monteagudo P, Blasco-Lafarga C, Chulvi-Medrano I. Resistance training with blood flow restriction compared to traditional resistance training on strength and muscle mass in non-active older adults: a systematic review and meta-analysis. Int J Environ Res Public Health. 2021;18(21):11441.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Conceição MS, Ugrinowitsch C. Exercise with blood flow restriction: an effective alternative for the non-pharmaceutical treatment for muscle wasting. J Cachexia Sarcopenia Muscle. 2019;10(2):257–62.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Jessee MB, Mattocks KT, Buckner SL, Dankel SJ, Mouser JG, Abe T, et al. Mechanisms of blood flow restriction: the new testament. Tech Orthop. 2018;33(2):72–9.

    Article  Google Scholar 

  5. Hughes L, Paton B, Rosenblatt B, Gissane C, Patterson SD. Blood flow restriction training in clinical musculoskeletal rehabilitation: a systematic review and meta-analysis. 2017.

    Google Scholar 

  6. Saatmann N, Zaharia OP, Loenneke JP, Roden M, Pesta DH. Effects of blood flow restriction exercise and possible applications in type 2 diabetes. Trends Endocrinol Metab. 2021;32(2):106–17.

    Article  CAS  PubMed  Google Scholar 

  7. Appell HJ. Muscular atrophy following immobilization. A review. Sports Med. 1990;10(1):42–58.

    Article  CAS  PubMed  Google Scholar 

  8. Suetta C. Training-induced changes in muscle CSA, muscle strength, EMG, and rate of force development in elderly subjects after long-term unilateral disuse. J Appl Physiol. 2004;97(5):1954–61.

    Article  PubMed  Google Scholar 

  9. Schaun GZ, Bamman MM, Alberton CL. High-velocity resistance training as a tool to improve functional performance and muscle power in older adults. Exp Gerontol. 2021;156:111593.

    Article  PubMed  Google Scholar 

  10. Yin L, Li N, Jia W, Wang N, Liang M, Yang X, et al. Skeletal muscle atrophy: from mechanisms to treatments. Pharmacol Res. 2021;172:105807.

    Article  CAS  PubMed  Google Scholar 

  11. Suetta C, Hvid LG, Justesen L, Christensen U, Neergaard K, Simonsen L, et al. Effects of aging on human skeletal muscle after immobilization and retraining. J Appl Physiol (1985). 2009;107(4):1172–80.

    Article  CAS  PubMed  Google Scholar 

  12. Thomas AC, Wojtys EM, Brandon C, Palmieri-Smith RM. Muscle atrophy contributes to quadriceps weakness after anterior cruciate ligament reconstruction. J Sci Med Sport. 2016;19(1):7–11.

    Article  PubMed  Google Scholar 

  13. McLeod JC, Stokes T, Phillips SM. Resistance exercise training as a primary countermeasure to age-related chronic disease. Front Physiol. 2019;10:645.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Ferraz RB, Gualano B, Rodrigues R, Kurimori CO, Fuller R, Lima FR, DE Sá-Pinto AL, Roschel H. Benefits of Resistance Training with Blood Flow Restriction in Knee Osteoarthritis. Med Sci Sports Exerc. 2018;50(5):897–905. https://doi.org/10.1249/MSS.0000000000001530.

  15. Hughes L, Rosenblatt B, Haddad F, Gissane C, McCarthy D, Clarke T, et al. Comparing the effectiveness of blood flow restriction and traditional heavy load resistance training in the post-surgery rehabilitation of anterior cruciate ligament reconstruction patients: a UK national health service randomised controlled trial. Sports Med. 2019;49(11):1787–805.

    Article  PubMed  Google Scholar 

  16. Rodrigues R, Ferraz RB, Kurimori CO, Guedes LK, Lima FR, de Sá-Pinto AL, et al. Low-load resistance training with blood-flow restriction in relation to muscle function, mass, and functionality in women with rheumatoid arthritis. Arthritis Care Res (Hoboken). 2020;72(6):787–97.

    Article  PubMed  Google Scholar 

  17. Giles L, Webster KE, McClelland J, Cook JL. Quadriceps strengthening with and without blood flow restriction in the treatment of patellofemoral pain: a double-blind randomised trial. Br J Sports Med. 2017;51(23):1688–94.

    Article  PubMed  Google Scholar 

  18. Constantinou A, Mamais I, Papathanasiou G, Lamnisos D, Stasinopoulos D. Comparing hip and knee focused exercises versus hip and knee focused exercises with the use of blood flow restriction training in adults with patellofemoral pain. Eur J Phys Rehabil Med. 2022;58(2):225–35.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Grønfeldt BM, Lindberg Nielsen J, Mieritz RM, Lund H, Aagaard P. Effect of blood-flow restricted vs heavy-load strength training on muscle strength: Systematic review and meta-analysis. Scand J Med Sci Sports. 2020;30(5):837–48. https://doi.org/10.1111/sms.13632. Epub 2020 Feb 21.

  20. Petersson N, LanggårdJørgensen S, Kjeldsen T, Mechlenburg I, Aagaard P. Blood flow restricted walking in elderly individuals with knee osteoarthritis: a feasibility study. J Rehabil Med. 2022;54:jrm00282.

    Article  PubMed  Google Scholar 

  21. Høgsholt M, Jørgensen SL, Rolving N, Mechlenburg I, Tønning LU, Bohn MB. Exercise with low-loads and concurrent partial blood flow restriction combined with patient education in females suffering from gluteal tendinopathy: a feasibility study. Front Sports Act Living. 2022;4:881054.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Jørgensen SL, Mechlenburg I. Effects of low-load blood-flow restricted resistance training on functional capacity and patient-reported outcome in a young male suffering from reactive arthritis. Front Sports Act Living. 2021;3(378):798902.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Mortensen L, Mechlenburg I, Langgård Jørgensen S. Low-Load Blood-Flow-Restricted Exercise to Prevent Muscle Atrophy and Decline in Functional Performance in a Patient Recovering From a Malleolus Fracture. A Case Report. Clin J Sport Med. 2023;33(1):97–100. https://doi.org/10.1097/JSM.0000000000001072. Epub 2022 Oct 5.

  24. Jørgensen AN, Jensen KY, Nielsen JL, Frandsen U, Hvid LG, Bjørnshauge M, et al. Effects of blood-flow restricted resistance training on mechanical muscle function and thigh lean mass in sIBM patients. Scand J Med Sci Sports. 2022;32(2):359–71.

    Article  PubMed  Google Scholar 

  25. Jørgensen SL, Bohn MB, Aagaard P, Mechlenburg I. Efficacy of low-load blood flow restricted resistance EXercise in patients with Knee osteoarthritis scheduled for total knee replacement (EXKnee): protocol for a multicentre randomised controlled trial. BMJ Open. 2020;10(10):e034376. https://doi.org/10.1136/bmjopen-2019-034376.

  26. 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.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Higgins JP, Savović J, Page MJ, Elbers RG, Sterne JA. Assessing risk of bias in a randomized trial. In: Cochrane Handbook for Systematic Reviews of Interventions. 2019. p. 205–28.

    Chapter  Google Scholar 

  28. Guyatt G, Oxman AD, Akl EA, Kunz R, Vist G, Brozek J, et al. GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables. J Clin Epidemiol. 2011;64(4):383–94.

    Article  PubMed  Google Scholar 

  29. Brignardello-Petersen R, Bonner A, Alexander PE, Siemieniuk RA, Furukawa TA, Rochwerg B, et al. Advances in the GRADE approach to rate the certainty in estimates from a network meta-analysis. J Clin Epidemiol. 2018;93:36–44.

    Article  PubMed  Google Scholar 

  30. Cohen J. Statistical power analysis for the behavioral sciences (2nd ed.). Routledge: Academic press; 1988. https://doi.org/10.4324/9780203771587.

  31. Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.4 (updated August 2023). Cochrane. 2023. Available from www.training.cochrane.org/handbook.

  32. Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–60.

    Article  PubMed  PubMed Central  Google Scholar 

  33. IntHout J, Ioannidis JPA, Borm GF. The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method. BMC Med Res Methodol. 2014;14(1):25.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Pereira Neto EA, Bittar ST, Silva JC, Pfeiffer PA, Santos HH, Sousa MD. Walking with blood flow restriction improves the dynamic strength of women with osteoporosis. Rev Bras Med Esporte. 2018;24(2):135–9.

    Article  Google Scholar 

  35. Ladlow P, Coppack RJ, Dharm-Datta S, Conway D, Sellon E, Patterson SD, et al. Low-load resistance training with blood flow restriction improves clinical outcomes in musculoskeletal rehabilitation: a single-blind randomized controlled trial. Front Physiol. 2018;9:1269.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Bryk FF, dos Reis AC, Fingerhut D, Araujo T, Schutzer M, Cury RdPL, et al. Exercises with partial vascular occlusion in patients with knee osteoarthritis: a randomized clinical trial. Knee Surg Sports Traumatol Arthrosc. 2016;24(5):1580–6.

    Article  PubMed  Google Scholar 

  37. Spitz RW, Kataoka R, Dankel SJ, Bell ZW, Song JS, Wong V, et al. Quantifying the generality of strength adaptation: a meta-analysis. Sports Med. 2023;53(3):637–48.

    Article  PubMed  Google Scholar 

  38. Buckner SL, Kuehne TE, Yitzchaki N, Zhu WG, Humphries MN, Loenneke JP. The generality of strength adaptation. J Trainol. 2019;8(1):5–8.

    Article  Google Scholar 

  39. Pearson SJ, Hussain SR. A review on the mechanisms of blood-flow restriction resistance training-induced muscle hypertrophy. 2015.

    Book  Google Scholar 

  40. Andersen J, Aagaard P. Myosin heavy chain IIX overshoot in human skeletal muscle. Muscle Nerve. 2000;23:1095–104.

    Article  CAS  PubMed  Google Scholar 

  41. Chang H, Yan J, Lu G, Chen B, Zhang J. Muscle strength adaptation between high-load resistance training versus low-load blood flow restriction training with different cuff pressure characteristics: a systematic review and meta-analysis. Front Physiol. 2023;14:1244292.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Mortensen L, Mechlenburg I, Jørgensen SL. Low-load blood-flow-restricted exercise to prevent muscle atrophy and decline in functional performance in a patient recovering from a malleolus fracture a case report. Clin J Sport Med. 2023;33(1):97–100.

    Article  PubMed  Google Scholar 

  43. Franz A, Queitsch FP, Behringer M, Mayer C, Krauspe R, Zilkens C. Blood flow restriction training as a prehabilitation concept in total knee arthroplasty: a narrative review about current preoperative interventions and the potential impact of BFR. Med Hypotheses. 2018;110:6.

    Article  Google Scholar 

  44. Perera E, Zhu XM, Horner NS, Bedi A, Ayeni OR, Khan M. Effects of blood flow restriction therapy for muscular strength, hypertrophy, and endurance in healthy and special populations: a systematic review and meta-analysis. Clin J Sport Med. 2022;32(5):531–45.

    Article  PubMed  Google Scholar 

  45. Aagaard P, Simonsen EB, Andersen JL, Magnusson P, Dyhre-Poulsen P. Increased rate of force development and neural drive of human skeletal muscle following resistance training. J Appl Physiol (1985). 2002.

  46. Aagaard P, Andersen JL, Dyhre-Poulsen P, Leffers AM, Wagner A, Peter Magnusson S, et al. A mechanism for increased contractile strength of human pennate muscle in response to strength training: changes in muscle architecture. J Physiol. 2001;534(2):613–23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Rossi FE, de Freitas MC, Zanchi NE, Lira FS, Cholewa JM. The role of inflammation and immune cells in blood flow restriction training adaptation: a review. Front Physiol. 2018;9:1376.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Schoenfeld BJ, Peterson MD, Ogborn D, Contreras B, Sonmez GT. Effects of low- vs. high-load resistance training on muscle strength and hypertrophy in well-trained men. J Strength Cond Res. 2015;29(10):2954–63.

    Article  PubMed  Google Scholar 

  49. Wright AA, Cook CE, Baxter GD, Dockerty JD, Abbott JH. A comparison of 3 methodological approaches to defining major clinically important improvement of 4 performance measures in patients with hip osteoarthritis. J Orthop Sports Phys Ther. 2011;41(5):319–27.

    Article  PubMed  Google Scholar 

  50. Bean JF, Kiely DK, Herman S, Leveille SG, Mizer K, Frontera WR, et al. The relationship between leg power and physical performance in mobility-limited older people. J Am Geriatr Soc. 2002;50(3):461–7.

    Article  PubMed  Google Scholar 

  51. Skovlund SV, Aagaard P, Larsen P, Svensson RB, Kjaer M, Magnusson SP, et al. The effect of low-load resistance training with blood flow restriction on chronic patellar tendinopathy — A case series. Transl Sports Med. 2020;3(4):342–52.

    Article  Google Scholar 

  52. Groennebaek T, Sieljacks P, Nielsen R, Pryds K, Jespersen NR, Wang J, et al. Effect of blood flow restricted resistance exercise and remote ischemic conditioning on functional capacity and myocellular adaptations in patients with heart failure. Circ Heart Fail. 2019;12(12):e006427.

    Article  CAS  PubMed  Google Scholar 

  53. Alonso-Coello P, Oxman AD, Moberg J, Brignardello-Petersen R, Akl EA, Davoli M, et al. GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 2: Clinical practice guidelines. BMJ. 2016;353:i2089.

    Article  PubMed  Google Scholar 

  54. Jørgensen SL, Kierkegaard S, Bohn MB, Aagaard P, Mechlenburg I. Effects of resistance training prior to total hip or knee replacement on post-operative recovery in functional performance: a systematic review and meta-analysis. Front Sports Act Living. 2022;4:924307.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

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Funding

This research was funded by Health Research Foundation of Central Denmark Region, Aase & Ejnar Danielsens Foundation, Nis-Hanssens Mindeslegat, The Family Hede Nielsen, Brd. Hartmann’s Foundation, The Danish Association of Physiotherapists Foundation.

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SLJ, SKB, MBB, MH, PA, IM contributed to the research design and development of a search strategy. SJ, SKB, and MH completed all title and abstract screening. SJ, SKB, and MH completed full-text screening. SJ, MBB, and MH completed data extraction. SJ, IM completed the quality appraisal. SLJ, SKB, MBB, MH, PA, IM contributed to the data analysis. SLJ, SKB, MBB, MH, PA, IM contributed to the final manuscript draft.

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Jørgensen, S.L., Kierkegaard-Brøchner, S., Bohn, M.B. et al. Effects of blood-flow restricted exercise versus conventional resistance training in musculoskeletal disorders—a systematic review and meta-analysis. BMC Sports Sci Med Rehabil 15, 141 (2023). https://doi.org/10.1186/s13102-023-00750-z

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