Skip to main content
Springer logoLink to Springer
. 2025 Mar 5;49(6):1359–1364. doi: 10.1007/s00264-025-06451-1

A comparative study of early postoperative pain: robotic-assisted versus conventional total knee arthroplasty

Keerati Chareancholvanich 1, Chaturong Pornrattanamaneewong 1, Ronnakit Udompanich 1, Kit Awirotananon 1, Rapeepat Narkbunnam 1,
PMCID: PMC12075021  PMID: 40042610

Abstract

Purpose

While robotic-assisted total knee arthroplasty (RA-TKA) has demonstrated improved surgical precision, its impact on early postoperative pain management remains unclear. This study compared early postoperative pain outcomes between RA-TKA and conventional TKA (C-TKA).

Methods

In this retrospective study, 230 consecutive patients (309 knees) who underwent primary TKA were analyzed: 143 patients (181 knees) in the C-TKA group and 87 patients (128 knees) in the RA-TKA group. Pain scores at rest and during movement were assessed using the Numerical Pain Rating Scale for 72 h postoperatively. Secondary outcomes included opioid consumption and length of hospital stay.

Results

While pain scores at rest showed no significant differences between groups, RA-TKA patients reported significantly lower pain scores during movement at 24 h post-surgery (p = 0.023). The RA-TKA group demonstrated significantly reduced opioid consumption during the first 48 postoperative hours (p = 0.001 for 0-24 h; p = 0.03 for 24-48 h) and shorter length of hospital stay (p = 0.011). Subgroup analysis of unilateral procedures showed similar advantages in the RA-TKA group.

Conclusion

RA-TKA was associated with reduced pain during movement, decreased opioid consumption, and shorter hospital stay in the early postoperative period compared to C-TKA.

Keywords: TKA, Robotic-assisted, Total, Knee, Arthroplasty

Background

Total knee arthroplasty (TKA) is a well-established surgical procedure for treating advanced knee osteoarthritis(OA), providing significant pain relief and functional improvement for patients [1]. However, managing postoperative pain remains a critical challenge in TKA, as it directly impacts patient satisfaction, early mobilization, and overall recovery [2]. In recent years, robotic-assisted TKA has emerged as a promising technology aimed at improving surgical precision and potentially enhancing patient outcomes [3, 4].

Robotic-assisted TKA(RA-TKA) systems, such as the MAKO system (Stryker) [5], offer several potential advantages over conventional TKA(C-TKA) techniques. These include enhanced preoperative planning through 3D modeling, improved intraoperative precision in bone cuts and implant positioning, and the potential for better soft tissue balancing [6, 7]. Moreover, there are notable angular differences between the mechanical axes referenced by robotic systems and the anatomical axes used in conventional TKA, which may affect surgical outcomes and postoperative evaluation [8]. While studies have shown that robotic-assisted TKA can lead to more accurate component positioning and improved mechanical alignment [9], evidence regarding its influence on acute postoperative pain intensity and early functional recovery remains inconclusive [1015].

Pain management in the immediate postoperative period is crucial for TKA patients, as it influences early mobilization, rehabilitation progress, and length of hospital stay [16]. Effective pain control can also reduce the need for opioid medications, which is particularly important given the current emphasis on minimizing opioid use in postoperative care [17]. However, comparative data on early postoperative pain outcomes between robotic-assisted and conventional TKA are limited, particularly in studies with large sample sizes and frequent pain assessments. The present study aims to address this gap in knowledge by conducting a comprehensive comparison of early postoperative pain outcomes between robotic-assisted and conventional TKA.

Methods

Study design and participants

This retrospective study, approved by our Institutional Review Board, examined 230 consecutive patients who underwent primary TKA at our institute between January 2021 and July 2023. The cohort comprised 143 patients (181 knees) who underwent C-TKA, followed by 87 patients (128 knees) who underwent RA-TKA. All procedures were performed by the same surgical team of three arthroplasty surgeons (K.C., R.N., C.P.), who were highly experienced in conventional and robotic-assisted TKA techniques. Inclusion criteria were patients with advanced symptomatic knee OA (Kellgren–Lawrence grade ≥ 3) and surgical indication for TKA. Patients were excluded if they had previous high tibial or distal femoral osteotomy, post-traumatic OA, revision of femoral or tibial components, or experienced postoperative complications.

Surgical procedure

Preoperative planning for C-TKA involved standing full-length extremity X-rays when femoral or tibial deformities were suspected, while RA-TKA patients underwent full-length extremity computed tomography (CT) scans using the MAKO system (Stryker) protocol. This protocol enabled personalized planning and 3D knee modeling, establishing implant size and position based on the mechanical axis in multiple planes.

All patients were positioned supine, with a pneumatic tourniquet applied and inflated after draping. C-TKA procedures used various implants (Persona; Zimmer, Smith & Nephew; Anthem, or Triathlon; Stryker) based on surgeon preference, while all RA-TKA utilized the MAKO system with Triathlon; Stryker prosthesis. The patella was not resurfaced in any procedure. All surgeries employed a midline incision with a standard medial parapatellar approach.

C-TKAs were performed using a measured resection technique with standard instrumentation, aiming for neutral alignment. Intramedullary guides were used for femoral cuts and extramedullary guides for tibial cuts. Sequential bone cuts were made on the distal femur, proximal tibia, and condyles, followed by ligament releases as needed.

For RA-TKA, the procedure began with placement of registration arrays and creation of a 3D model for intraoperative navigation. Dynamic navigation allowed for adjustment of component positioning and alignment. Bone cuts were made using the robotic arm with haptic feedback, followed by manual soft tissue management.

In both techniques, alignment and gaps were verified, and the articular capsule received local anaesthesia. For all surgeries, definitive implants were cemented with fixed bearings, followed by similar fashion of tissue closure without drains.

Anesthesia and post-operative management

The anaesthetic protocol was standardized for both groups, consisting of regional anesthesia with adductor canal blocks administered by highly experienced anesthesiologists specializing in orthopaedics. Post-operatively, all patients received a tailored analgesic protocol including acetaminophen, NSAIDs, and gabapentin, with intravenous morphine (1–2 mg) used as rescue medication if pain exceeded 3 on the Numerical Pain Rating Scale. The rehabilitation program, initiated on the day of surgery, included intermittent pneumatic compression devices and ankle pumping exercises to prevent deep vein thrombosis, passive and active knee motion exercises, and full weight-bearing with a walker. Patients were discharged when they achieved adequate pain control with oral analgesia, knee flexion of at least 90 degrees in both active and passive motion, and independent ambulation with a walker, including the ability to navigate stairs.

Outcomes assessment

All demographic data and patient outcomes were retrospectively collected by one independent assessor from electronic medical records. Baseline measurements included: age at time of surgery (years), gender (male/female), body mass index (kg/m²), race, ASA grade, side of intervention (right/left) and pre-operative range of motion (ROM) (degrees).

Pain assessment was a key focus of the study, aimed at evaluating differences between the two groups during the early postoperative period. Numerical Pain Rating Scale (NPRS) scores were diligently recorded by independent nursing staff for up to 72 h postoperatively. Resting pain was assessed at four hour intervals for the first 72 h following surgery. Pain during activity was evaluated once daily after physical therapy sessions, which encompassed gait training and knee flexion exercises. Independent physical therapists recorded these activity-related pain measurements.

Other outcomes collected by the independent assessor included morphine consumption (milligrams), length of hospital stay (days), and postoperative range of motion (degrees).

Statistical analysis

SPSS 18.0 (SPSS Inc., Chicago, IL, USA) software was used for statistical analysis. Continuous measurements are expressed as mean and range. When the parametric test assumptions were met after the examination of distributions of all variables, the student t-test was used in independent groups and Mann–Whitney U-test was used if there was no difference between the groups in terms of numerical variables. χ2 test was used for categorical variables. Two-way mixed repeated ANOVA was performed for each timepoint. The α level was set at P < 0.05 for two-tailed comparisons.

Results

There were no significant differences in baseline characteristics between C-TKA and RA-TKA groups. The demographics of patients are shown in Table 1. Pain scores at rest (NPRS) showed no significant differences between the groups across all time intervals (0–24, 24–48, and 48–72 h). However, patients who underwent C-TKA exhibited significantly higher pain scores during movement at 24 h post-surgery (p = 0.023) compared to the RA-TKA group (Table 2). Opioid consumption was significantly higher in the C-TKA group during the first 24 h (p = 0.001) and 24–48 h (p = 0.03) post-surgery (Table 3). A subgroup analysis of unilateral TKA patients revealed decreased pain scores on movement at 72 h (p = 0.04) and reduced opioid consumption in the 0–24 and 24–48 h periods (p = 0.03 and p = 0.02, respectively) for the robotic-assisted group (Table 4). Other outcomes showed a significantly longer length of stay (LOS) for patients in the conventional TKA group (p = 0.011). However, no statistically significant differences were observed between the groups in postoperative range of motion (ROM) on days 1, 2, and 3 (Table 3).

Table 1.

Demographic data of all treatment groups

Demographic Data Conventional TKA
(n = 143)
Robotic-assisted TKA
(n = 87)
p-value

Gender

 Female

 Male

110 (76.9%)

33 (23.1%)

58 (66.7%)

29 (33.3%)

0.094
Age (years) 70.01 ± 7.46 68.57 ± 7.89 0.257a
Body weight (kilograms) 65.31 ± 11.78 67.76 ± 13.15 0.145
Body height (cm) 155.45 ± 8.73 157.05 ± 8.99 0.194a
BMI(kg/m2) 27.08 ± 4.70 27.39 ± 4.27 0.618

Side of operation

 Right

 Left

 Bilateral

58 (40.6%)

47 (32.9%)

38 (26.6%)

20 (23.0%)

26 (29.9%)

41 (47.1%)

0.006

Pre-op ROM (degree)

 Flexion

 Extension

103.91 ± 26.07

3.94 ± 5.48

105.46 ± 19.90

4.92 ± 5.77

0.545a

0.165a

a: Mann-Whitney U test

Table 2.

The primary outcome comparison conventional and robotic-assisted TKA

Outcome Conventional TKA Robotic-assisted TKA p-value
NPRS at rest
At 0–24 h

0.96 ± 0.93

0.71 (0.14–1.43)

0.82 ± 0.94

0.57 (0–1.14)

0.170a
At 28–48 h

0.69 ± 0.88

0.33 (0–1.17)

0.53 ± 0.69

0.33 (0–0.83)

0.565a
At 52–72 h

0.39 ± 0.64

0 (0–0.67)

0.26 ± 0.43

0 (0–0.33)

0.348a
NPRS at movement
At 24 h

3.76 ± 2.65

4 (2–5)

2.94 ± 2.51

3 (0–5)

0.023 a
At 48 h

2.85 ± 2.47

3 (0–4)

2.17 ± 1.86

2 (0–3)

0.077a
At 72 h

1.90 ± 1.99

2 (0–3)

1.46 ± 1.74

1 (0–3)

0.148a

a: Mann-Whitney U test

Table 3.

The secondary outcomes comparison conventional and robotic-assisted TKA

Outcome Conventional TKA Robotic-assisted TKA p-value
Length of stay (days)

4.15 ± 1.31

4 (3–5)

4.71 ± 2.16

4 (4–5 )

0.011 a
Opioid Consumption 0–24 h

1.94 ± 2.53

1 (0–2.5)

0.99 ± 1.39

0 (0–2)

0.001 a
Opioid Consumption 24–48 h

1.28 ± 2.30

0 (0–2)

0.68 ± 1.22

0 (0–1)

0.030 a
Opioid Consumption 48–72 h

0.49 ± 1.55

0 (0–0)

0.33 ± 0.67

0 (0–0)

0.968a
ROM: Flexion (degree)
Post-op Day1

74.02 ± 22.30

90 (60–90)

68.05 ± 29.86

90 (60–90)

0.413a
Post-op Day2

79.15 ± 20.94

90 (80–90)

74.75 ± 29.21

90 (85–90)

0.885a
Post-op Day3

82.93 ± 19.86

90 (90–90)

80.26 ± 25.05

90 (90–90)

0.715a
ROM: Extension (degree)
Post-op Day1

4.36 ± 6.71

0 (0–10)

3.79 ± 6.02

0 (0–10)

0.571a
Post-op Day2

2.64 ± 4.42

0 (0–10)

2.81 ± 4.70

0 (0–10)

0.828a
Post-op Day3

2.29 ± 4.19

0 (0–0)

2.76 ± 4.58

0 (0–10)

0.372a

a: Mann-Whitney U test

Table 4.

The comparison of outcomes in unilateral conventional and robotic-assisted TKA

Outcome Conventional TKA Robotic-assisted TKA p-value
NPRS at movement
At 24 h

3.61 ± 2.62

4 (2.5–5)

2.74 ± 2.35

3 (0–5)

0.074a
At 48 h

2.72 ± 2.34

3 (2–4)

2.04 ± 1.90

2 (0.5–3.5)

0.100a
At 72 h

1.78 ± 1.87

2 (0–3)

1.07 ± 1.34

1 (0–2)

0.044 a
Opioid Consumption
At 0–24 h

2.02 ± 2.70

1 (0–2.5)

0.86 ± 1.30

0 (0–1.63)

0.003 a
At 24–48 h

1.43 ± 2.57

0 (0–2)

0.54 ± 1.00

0 (0–1)

0.021 a
At 48–72 h

0.53 ± 1.71

0 (0–0)

0.27 ± 0.61

0 (0–0)

0.633a

a: Mann-Whitney U test

Discussion

This study, comparing early postoperative outcomes between RA-TKA and C-TKA, provides valuable insights into robotic technology’s benefits in orthopaedic surgery. Our large sample size (230 patients, 309 knees) provides robust statistical power. Our findings offer a comprehensive understanding of pain, opioid consumption, and early recovery postoperatively. Patients who underwent RA-TKA experienced significantly lower pain scores during movement at 24 h post-surgery compared to C-TKA patients. This aligns with previous studies reporting improved pain outcomes with RA-TKA. Kayani et al. [6] compared 40 C-TKA and 40 MAKO RA-TKA patients, concluding that RA-TKA led to decreased pain, improved early functional recovery, and reduced hospital stay. Batailler et al.‘s [15] systematic review of 26 MAKO RA-TKA studies showed improved postoperative pain, prosthetic positioning, and functional outcomes compared to C-TKA. These benefits may be attributed to the MAKO robot’s precise bone cutting, enabled by preoperative planning software, real-time intraoperative feedback, and haptically bounded saw blade. These features help protect surrounding soft tissues and ligaments [18, 19]. Investigating the mechanisms, a study showed MAKO RATKA resulted in a milder early postoperative systemic inflammatory response compared to CTKA [20]. Our study found significant differences in pain scores during movement between RA-TKA and C-TKA groups, but not at rest. This distinction is crucial, as pain during motion impacts early rehabilitation and functional outcomes. The reduced pain during movement in RA-TKA patients may enhance early rehabilitation, leading to improved functional outcomes and higher patient satisfaction, as reported in previous studies [21].

Reduced opioid consumption in the RA-TKA group during the first 48 h post-surgery is noteworthy. This suggests RA-TKA may contribute to more effective pain management, potentially reducing opioid-related complications and dependency [14, 22]. Given the ongoing opioid epidemic, surgical techniques reducing opioid use without compromising pain control are of significant clinical interest. The shorter length of stay (LOS) in the RA-TKA group has significant implications for healthcare systems and patient satisfaction. Reduced LOS is associated with cost savings and improved patient outcomes [23]. RA-TKA’s benefits may extend beyond postoperative pain management to influence patient recovery and healthcare resource utilization. This has implications for hospital efficiency, patient throughput, and overall healthcare costs.

Subgroup analysis of unilateral TKA patients revealed decreased pain scores on movement at 72 h and reduced opioid consumption in the first 48 h for the RA-TKA group. These benefits may be particularly pronounced in unilateral procedures, possibly due to less overall injury compared to bilateral procedures. The non-operated leg may help compensate for patient movement in the early postoperative period. These findings are consistent with previous studies [2426].

It is important to note that several recent meta-analyses have reported comparable outcomes between RA-TKA and C-TKA across multiple parameters, including pain scores, clinical outcomes, radiological outcomes, and patient satisfaction [12, 2729]. These findings warrant careful interpretation, as they aggregate data from studies utilizing diverse robotic platforms and varying knee alignment philosophies that have evolved over time. The heterogeneity in robotic assistance technologies suggests that individual robotic systems may offer distinct advantages that could be obscured in pooled analyses. As highlighted by Vermue et al., each robotic system’s unique features and workflows necessitate independent evaluation to accurately determine their specific contributions to surgical outcomes [30].

Our study has several limitations to consider. The retrospective design introduces potential selection bias, despite our efforts to mitigate this through strict inclusion criteria. While the RA-TKA group consistently used the MAKO system, the C-TKA group employed various prosthesis designs, which could potentially influence outcomes and introduce confounding variables. As a single-centre study with experienced surgeons, the generalizability of our findings may be limited. Given our study’s focus on immediate postoperative outcomes within the first 72 h, when patients are primarily concerned with pain management and basic mobility, comprehensive functional outcomes and patient-reported measures were not feasible during this acute recovery phase. This early postoperative timeframe naturally limits our ability to assess broader aspects of patient satisfaction and functional recovery.

Conclusion

This comparative study demonstrates that robotic-assisted TKA offers several significant benefits over conventional TKA in the early postoperative period. Patients who underwent robotic-assisted TKA experienced less pain during movement at 24 h post-surgery, required reduced opioid consumption in the first 48 h, and had a significantly shorter length of hospital stay. These findings suggest potential advantages of robotic assistance in the acute post-operative phase of total knee arthroplasty.

Author contributions

K.C. (First author) conceptualized and designed the study, performed data analysis and surgeries, and drafted the main manuscript. C.P. performed surgeries, conducted statistical analysis, and participated in manuscript preparation. R.U. and K.A. contributed to data collection, assisted in statistical analysis, and participated in manuscript preparation. R.N. (Primary Corresponding author) supervised the overall research project, performed surgeries, provided critical revision of the manuscript, and took responsibility for the integrity of the work. All authors reviewed and approved the final version of the manuscript.

Funding

Open access funding provided by Mahidol University

The authors declare that no funding was received for this research study.

Data availability

No datasets were generated or analysed during the current study.

Declarations

Ethics approval

This study was approved by Siriraj Institutional Review Board (COA468/2566).

Informed consent

The requirement for informed consent was waived by the ethics committee due to the retrospective nature of the study.

Consent for publication

Not applicable as no identifying information of participants is included in this manuscript.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note

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

References

  • 1.Carr AJ, Robertsson O, Graves S, Price AJ, Arden NK, Judge A (2012) Knee replacement. Lancet 379(9823):1331–1340. 10.1016/S0140-6736(11)60752-6 [DOI] [PubMed] [Google Scholar]
  • 2.Memtsoudis SG, Cozowicz C, Bekeris J, Bekere D, Liu J, Soffin EM (2019) Anaesthetic care of patients undergoing primary hip and knee arthroplasty: consensus recommendations from the International Consensus on Anaesthesia-related outcomes after surgery group (ICAROS) based on a systematic review and meta-analysis. Br J Anaesth 123(3):269–287. 10.1016/j.bja.2019.05.042 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Jacofsky DJ, Allen M (2016) Robotics in Arthroplasty: a Comprehensive Review. J Arthroplasty 31(10):2353–2363. 10.1016/j.arth.2016.05.026 [DOI] [PubMed] [Google Scholar]
  • 4.Ruangsomboon P, Ruangsomboon O, Pornrattanamaneewong C, Narkbunnam R, Chareancholvanich K (2023) Clinical and radiological outcomes of robotic-assisted versus conventional total knee arthroplasty: a systematic review and meta-analysis of randomized controlled trials. Acta Orthop 94:60–79. 10.2340/17453674.2023.9411 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Roche M (2021) The MAKO robotic-arm knee arthroplasty system. Arch Orthop Trauma Surg 141(12):2043–2047. 10.1007/s00402-021-04208-0 [DOI] [PubMed] [Google Scholar]
  • 6.Kayani B, Konan S, Tahmassebi J, Pietrzak JRT, Haddad FS (2018) Robotic-arm assisted total knee arthroplasty is associated with improved early functional recovery and reduced time to hospital discharge compared with conventional jig-based total knee arthroplasty: a prospective cohort study. Bone Joint J 7100–b. 10.1302/0301-620X.100B7.BJJ-2017-1449.R1 [DOI] [PMC free article] [PubMed]
  • 7.Khlopas A, Chughtai M, Hampp EL, Scholl LY, Prieto M, Chang TC (2017) Robotic-arm assisted total knee arthroplasty demonstrated soft tissue Protection. Surg Technol Int 30:441–446 PMID: 28696495 [PubMed] [Google Scholar]
  • 8.Peng Y (2024) Preoperative evaluation of femoral and tibial sagittal alignment in robotic-assisted and conventional total knee arthroplasty and consequences for practice. Int Orthop 48(8):2047–2054. 10.1007/s00264-024-06229-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Liow MHL, Goh GS, Wong MK, Chin PL, Tay DK, Yeo SJ (2017) Robotic-assisted total knee arthroplasty may lead to improvement in quality-of-life measures: a 2-year follow-up of a prospective randomized trial. Knee Surg Sports Traumatol Arthrosc 25(9):2942–2951. 10.1007/s00167-016-4076-3 [DOI] [PubMed] [Google Scholar]
  • 10.Kim YH, Yoon SH, Park JW (2020) Does robotic-assisted TKA result in Better Outcome scores or Long-Term Survivorship Than Conventional TKA? A Randomized, Controlled Trial. Clin Orthop Relat Res 478(2):266–275. 10.1097/CORR.0000000000000916 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Hamilton DA, Ononuju U, Nowak C, Chen C, Darwiche H (2021) Differences in Immediate postoperative outcomes between robotic-assisted TKA and conventional TKA. Arthroplast Today 8:57–62. 10.1016/j.artd.2021.01.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Bensa A, Sangiorgio A, Deabate L, Illuminati A, Pompa B, Filardo G (2023) Robotic-assisted mechanically aligned total knee arthroplasty does not lead to better clinical and radiological outcomes when compared to conventional TKA: a systematic review and meta-analysis of randomized controlled trials. Knee Surg Sports Traumatol Arthrosc 31(11):4680–4691. 10.1007/s00167-023-07458-0 [DOI] [PubMed] [Google Scholar]
  • 13.Winnock de Grave P, Kellens J, Tampere T, Vermue H, Luyckx T, Claeys K (2023) Clinical outcomes in TKA are enhanced by both robotic assistance and patient specific alignment: a comparative trial in 120 patients. Arch Orthop Trauma Surg 143(6):3391–3399. 10.1007/s00402-022-04636-6 [DOI] [PubMed] [Google Scholar]
  • 14.Bhimani SJ, Bhimani R, Smith A, Eccles C, Smith L, Malkani A (2020) Robotic-assisted total knee arthroplasty demonstrates decreased postoperative pain and opioid usage compared to conventional total knee arthroplasty. Bone Jt Open 1(2):8–12. 10.1302/2633-1462.12.BJO-2019-0004.R1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Batailler C, Fernandez A, Swan J, Servien E, Haddad FS, Catani F (2021) MAKO CT-based robotic arm-assisted system is a reliable procedure for total knee arthroplasty: a systematic review. Knee Surg Sports Traumatol Arthrosc 29(11):3585–3598. 10.1007/s00167-020-06283-z [DOI] [PubMed] [Google Scholar]
  • 16.Memtsoudis SG, Poeran J, Zubizarreta N, Cozowicz C, Mörwald EE, Mariano ER (2018) Association of Multimodal Pain Management Strategies with Perioperative outcomes and Resource utilization: a Population-based study. Anesthesiology 128(5):891–902. 10.1097/ALN.0000000000002132 [DOI] [PubMed] [Google Scholar]
  • 17.Hah JM, Bateman BT, Ratliff J, Curtin C, Sun E (2017) Chronic opioid use after surgery: implications for Perioperative Management in the Face of the opioid epidemic. Anesth Analg 125(5):1733–1740. 10.1213/ANE.0000000000002458 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Hampp EL, Sodhi N, Scholl L, Deren ME, Yenna Z, Westrich G (2019) Less iatrogenic soft-tissue damage utilizing robotic-assisted total knee arthroplasty when compared with a manual approach: a blinded assessment. Bone Joint Res 8(10):495–501. 10.1302/2046-3758.810.BJR-2019-0129.R1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Sultan AA, Piuzzi N, Khlopas A, Chughtai M, Sodhi N, Mont MA (2017) Utilization of robotic-arm assisted total knee arthroplasty for soft tissue protection. Expert Rev Med Devices 14(12):925–927. 10.1080/17434440.2017.1392237 [DOI] [PubMed] [Google Scholar]
  • 20.Xu JZ, Li LL, Fu J, Xu C, Zhang GQ, Chai W (2022) Comparison of serum inflammatory indicators and radiographic results in MAKO robotic-assisted versus conventional total knee arthroplasty for knee osteoarthritis: a retrospective study of Chinese patients. BMC Musculoskelet Disord 23(1):418. 10.1186/s12891-022-05373-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Marchand RC, Sodhi N, Khlopas A, Sultan AA, Harwin SF, Malkani AL (2017) Patient satisfaction outcomes after robotic arm-assisted total knee arthroplasty: a short-term evaluation. J Knee Surg 30(9):849–853. 10.1055/s-0037-1607450 [DOI] [PubMed] [Google Scholar]
  • 22.Collett G, Insley AP, Michaelis S, Shaji S, Feierstein B, Martell JR (2021) Reduction of opioid use with enhanced recovery program for total knee arthroplasty. Fed Pract 38(5):212–219. 10.12788/fp.0124 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Lee WC, Neoh EC, Wong LP, Tan KG (2024) Shorter length of stay and significant cost savings with ambulatory surgery primary unilateral total knee arthroplasty in asians using enhanced recovery protocols. J Clin Orthop Trauma 50:102379. 10.1016/j.jcot.2024.102379 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Tilp M, Ringler S, Mariacher H, Rafolt D (2023) Unilateral Strength Training after total knee arthroplasty leads to similar or Better Effects on Strength and Flexibility than bilateral strength training - A Randomized Controlled Pilot Study. J Rehabil Med 55:jrm00381. 10.2340/jrm.v55.3987 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Powell RS, Pulido P, Tuason MS, Colwell CW, Ezzet KA (2006) Bilateral vs unilateral total knee arthroplasty: a patient-based comparison of Pain levels and recovery of ambulatory skills. J Arthroplast 21(5):642–649. 10.1016/j.arth.2005.08.009 [DOI] [PubMed] [Google Scholar]
  • 26.Ma N, Sun P, Xin P, Zhong S, Xie J, Xiao L (2024) Comparison of the efficacy and safety of MAKO robot-assisted total knee arthroplasty versus conventional manual total knee arthroplasty in uncomplicated unilateral total knee arthroplasty a single-centre retrospective analysis. Int Orthop 48(9):2351–2358. 10.1007/s00264-024-06234-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Fozo ZA, Ghazal AH, Hesham Gamal M, Matar SG, Kamal I, Ragab KM (2023) A systematic review and Meta-analysis of Conventional Versus robotic-assisted total knee arthroplasty. Cureus 15(10):e46845. 10.7759/cureus.46845 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Hoveidaei AH, Esmaeili S, Ghaseminejad-Raeini A, Pirahesh K, Fallahi MS, Sandiford NA (2024) Robotic assisted total knee arthroplasty (TKA) is not associated with increased patient satisfaction: a systematic review and meta-analysis. Int Orthop 48(7):1771–1784. 10.1007/s00264-024-06206-4 [DOI] [PubMed] [Google Scholar]
  • 29.Kim AG, Bernhard Z, Acuña AJ, Wu VS, Kamath AF (2023) Use of intraoperative technology in total knee arthroplasty is not associated with reductions in postoperative pain. Knee Surg Sports Traumatol Arthrosc 31(4):1370–1381. 10.1007/s00167-022-07098-w [DOI] [PubMed] [Google Scholar]
  • 30.Vermue H, Batailler C, Monk P, Haddad F, Luyckx T, Lustig S (2023) The evolution of robotic systems for total knee arthroplasty, each system must be assessed for its own value: a systematic review of clinical evidence and meta-analysis. Arch Orthop Trauma Surg 143(6):3369–3381. 10.1007/s00402-022-04632-w [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

No datasets were generated or analysed during the current study.


Articles from International Orthopaedics are provided here courtesy of Springer

RESOURCES