Introduction

Early onset scoliosis (EOS) presents in patients younger than 10 years [1, 2]. EOS is classified according to the age of the patient at the start of the deformity as early (0–5 years old) or late (> 5 years old) onset scoliosis [3,4,5]. Surgery in patients with EOS aims to correct the deformity avoiding complications improving the patient’s long-term health-related quality of life [6,7,8,9]. Concomitant neuromuscular, congenital, or syndromic scoliosis are associated with greater morbidity and mortality [3, 10, 11]. If left untreated, EOS may lead to cardiopulmonary and neurological complications [12, 13]. Given their growth-friendly nature, traditional growing rods (TGR) have been used to treat EOS. However, surgical distraction every 6–8 months is required, increasing the risk of complication [6, 14,15,16]. Magnetically controlled growing rods (MCGR) were developed as an outpatient distraction system, allowing to avoid multiple surgeries [17, 18]. Spinal distraction using MCGR is performed by placing a manual magnetic external remote controller over the internal magnet. Next, the rotation of the magnet within the rod is induced by external magnetic field leads to extension of rod. At the moment, the MAGEC (Magnetic Expansion Control; NuVasive; San Diego; USA) is the only magnetically regulated growing rod system [6, 18]. In Europe, the system was licensed in 2009 and it was approved by the FDA in 2017 [6]. Although this methodology reduces the number of surgical interventions, it has been associated with several complications [15, 19].

This systematic review investigated the efficacy and feasibility of MCGR in EOS. The focus of the present study was on kyphosis, Cobb angle, T1–S1 length, and complications associated with MCGR.

Material and methods

Search strategy

This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA guidelines [20]. The PICO algorithm was preliminary pointed out:

  • P (Population) Early onset scoliosis;

  • I (Intervention) MCGR;

  • C (Comparison) efficacy and feasibility;

  • O (Outcomes) reliability and safety.

Data source

Two authors (**;**) independently accessed PubMed, Google scholar, Embase, and Scopus in April 2022. The following keywords were used in combination: early onset scoliosis, scoliosis, spine, young, children, childhood, magnetic controlled growing rods, MCGR, three dimensional spinal deformity correction, apical control of vertebrae. The same authors independently screened the resulting titles and abstract. The full-text of the articles which matched the topic was accessed. A cross reference of the bibliographies was also performed by hand. Disagreement was debated and solved by a third author (**).

Eligibility criteria

All the clinical trials which investigate the role of MCGR for early onset scoliosis were accessed. Given the authors language capabilities, articles in English, German, Italian, French, Spanish, and Chinese were eligible. Only level I–III of evidence articles, according to Oxford Centre of Evidence-Based Medicine [21], were considered. Only studies reporting data in patients younger than 10 years with a preoperative Cobb Angle greater than 40° were eligible. Only studies with minimum 9 months’ follow-up are considered. Both single and double rod MCGR were considered. Reviews, letters, expert opinion, editorials, and comments were not eligible. Animal, cadaveric, and biomechanics studies were excluded. Only articles reporting quantitative data under the outcomes of interest were considered for inclusion. Missing data under the outcomes of interest warranted the exclusion from this study.

Data extraction

Two authors (**;**) independently performed data extraction. Studies generalities (author, year, design, length of the follow-up) were extracted, as were patient demographic (size, gender, mean age, and BMI). Data of the patient baseline characteristics were extracted. The following data was extracted at baseline and at last follow-up: mean kyphosis angle, overall mean Cobb angle, mean T1–S1 length. Data from complication were also collected.

Methodology quality assessment

For the methodology quality assessment, the Coleman Methodology Score (CMS) was used [22]. Each of the included studies was evaluated under several items, such as the population size, length of follow-up, number of surgical approaches, diagnosis, surgical techniques with description, outcomes and related assessing procedure, and patient recruitment. The CMS evaluated every included article in a value from 0 to 100. A mean overall value > 60 points is considered as ‘satisfactory’.

Data synthesis

The statistical analyses were performed using the IBM SPSS Software version 25. For descriptive statistics, mean and standard deviation were used. For continuous variables, the mean difference (MD) effect measure was adopted. The t-test was used to assess whether the change of variables from baseline to last follow-up were statistically significant, with values of P < 0.05 considered satisfactory. The rate of adverse events was evaluated as frequency (%).

RESULTS

Search result

The literature search resulted in 663 articles, 209 of them were excluded from this study as they were duplicated. Another 431 articles were excluded since they did not fulfil the preferred eligibility criteria: language limitation (n = 68), type of studies (n = 167), type of analysis (n = 178) and revision settings (n = 18). Finally, 41 articles were rejected as they did not provide qualitative data under outcomes of interest. This left 23 investigations for the present study. The literature search results are shown in Fig. 1.

Fig. 1
figure 1

Flow chart of the literature search

Methodological quality assessment

The limited study size, along with the retrospective design of most of the included studies represent important limitations of this study. The average length of the follow-ups was acceptable in most studies. Diagnosis and surgical approach were well-described in most articles. The rehabilitation process was barely reported. Outcome measures and timing of assessment were satisfactory defined. The procedures for assessing outcomes and subject selection were often biased and not adequately described. The CMS for the articles was 66/100, attesting the good quality of the methodology assessment (Table 1).

Table 1 CMS

Patient demographics

504 patients were included in the present study. 56% (282 of 504) were females. The average length of the follow-up was 28.9 ± 16.0 months. The mean age of the patients was 8.7 ± 1.9 years old. The mean BMI was 17.7 ± 7.6 kg/m2. Studies generalities and patient baseline is shown in Table 2.

Table 2 Generalities and patient baseline of the included studies (please define the abbreviations)

Imaging

The mean kyphosis angle had reduced by the last follow-up (− 10.9°; P = 0.04), as did the overall mean Cobb angle (− 31.6; P < 0.0001), while the overall T1–S1 length increased (+ 27.1 mm; P = 0.0002). The mean kyphosis, Cobb angle, and T1–S1 length are shown in greater detail in Table 3.

Table 3 Improvement from baseline

Complications

Implant-associated complications, including proximal screw pull out from the rod, pull out of the rod, re-operation for trimming of the prominent rod, connector breakage, completed breakage, detachment of pedicle screw hand/screw misplaced, and screw/plug loosening were the most common ones. The following spinal alignment were found: coronal imbalance, proximal junctional kyphosis, pelvic obliquity, secondary lumbar scoliosis. Delayed wound healing, wound dehiscence, and infections were seldom reported. Pulmonary complications, such as pneumonia, pulmonary embolism, pleural effusion, and progressive trunk stiffness, persistent back pain and fracture occurred rarely (Table 4).

Table 4 Overall complications

Discussion

The management of EOS remains challenging. MCGR is effective to distract the spine and model the curve in EOS, and is associated with a low rate of complication in the short term. Compared to the increase lengthening method of TGR, MCGR is a noninvasive procedure that avoids periodic invasive distraction procedures, exposing the patients to less anaesthesia episodes, rate of postoperative complications, reducing the physical and psychological burden of the young patients. Moreover, MCGR can be performed as outpatients, which may lead to a marked reduction in costs compared to the traditional TGR. However, is necessary to ascertain mid to long research whether the good preliminary outcomes persist [19, 43, 44].

The most common sagittal plane abnormality remains thoracic lordosis or thoracic hypokyphosis. To measure the magnitude of frontal plane deformity in scoliosis the Cobb angle is commonly used. The Cobb angle is used to determine in a relatively easy fashion the degree of curvature of the spine [45,46,47]. The Cobb angle is determined in posteroanterior radiographies. To assess the Cobb angle, the beginning and end of the spinal curve must be identified. Two lines, one tangential to the cranial endplate of the beginning vertebrae and one tangential to the caudal endplate of the last vertebrae are drawn. In a person with a straight spine, these lines would be parallel. In people with spinal curvatures, perpendicular lines are drawn from these lines until they intersect. The lines follow the inclination of the vertebrae and are angled. The Cobb angle is the angle at the point of intersection [48, 49]. The overall mean Cobb angle and the dorsal kyphosis at last follow-up reduced considerably of 31.6° and 10.9°, respectively. The T1–S1 vertebral lengthening at last follow-up also improved significantly of 27 mm. These data suggest that MCGR is effective and comparable with TGR [50, 51]. One limitation of the Cobb angle is that people can stand four to six degrees off when taking the measurement [47, 52]. This can mean the difference between bracing and surgery, making such measurements critical [53, 54]. Additionally, this measurement identifies the spine as a two-dimensional object on radiographies, when in fact the spine exists in three dimensions [55, 56]. The Cobb angle does not consider the twisting of the spine that often accompanies the development of a side-to-side curvature [57, 58]. A patient might have a small Cobb angle, but a severely twisted spine [59, 60].

Overall, a total of 124 complications were reported in 504 patients (25%). The foremost frequent complications were: proximal screw out of the rod, loss initial height, proximal pull out of the hooks, screw/plug loosening, and reoperation for trimming of outstanding rod. Failure of distraction, connexion breakage, complete blockage/rod breakage, proximal junctional humpback. Thought the rate of complications was high, this value is lower than what observed following TGR, at approximately 46–55% [43, 44, 61].

MCGR is initially more expensive compared to the TGR; however, the lower number of surgeries required, the outpatient regime, and the lower rate of complications results in a lower burden in the mid to long term in favour of MCGR [62, 63]. The cumulative costs of MCGR are approximately 50% greater than TGR at 1 year follow-up; however, they are lower of about 17% at 5 years follow-up [64].

This study has several limitations. The retrospective nature of the present study represents an important limitation, which increase the risk of selection bias. The study size was limited and the length of the follow-up was too short in most included studies. Surgical approach, eligibility criteria, and rehabilitation protocols were often biased and biased. Outcome measures and timing of assessment were often defined, providing moderate reliability. General health measures were seldom described. The timing of the evaluation of the results was often biased. Future high-quality studies involving a larger number of patients and longer follow-up are required to proper validate MCGR in the clinical setting. Given these limitations, data from the present study must be considered carefully.

Conclusion

The management of EOS remains challenging. The current evidence indicates that MCGR may be effective to distract the spine and model the curve in EOS.