Evidence map›Paper›PMID 39087033›Full record

ArticleIndian journal of orthopaedics2024

Complications and Learning Curve Associated with an Imageless Burr-Based (CORI) Robotic-Assisted Total Knee Arthroplasty System: Results from First 500 Cases.

Douglas J Weaver, Shobit Deshmukh, Ravi Bashyal, Vaibhav Bagaria

Abstract read
In one paragraph

Article in Indian journal of orthopaedics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Learning curve in image-based robotic assisted total knee arthroplasty: a MAKO-robot experience.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2026
    Observational
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  8. Learning curve for robotic-assisted total knee arthroplasty.Journal of orthopaedic surgery and research · 2026
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  18. [Early effectiveness of navigation-free robot-assisted total knee arthroplasty in treating knee osteoarthritis with extra-articular deformities].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Douglas J WeaverDepartment of Orthopaedic Surgery and Rehabilitation Medicine, University of Chicago, Chicago, USA.
Shobit DeshmukhDepartment of Orthopaedic Surgery, Sir H.N. Reliance Foundation Hospital and Research Centre, Raja Rammohan Roy Road, Mumbai, 400004 India.
Ravi BashyalNorth Shore University Health System Orthopaedic and Spine Institute, Evanston, USA.
Vaibhav BagariaDepartment of Orthopaedic Surgery, Sir H.N. Reliance Foundation Hospital and Research Centre, Raja Rammohan Roy Road, Mumbai, 400004 India.ORCID 0000-0002-3009-3485

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The use of robotic-assisted total knee arthroplasty (RA-TKA) is gaining traction. There is evidence to suggest that RA-TKA can help to optimize the precision and accuracy of implant positioning and that there may be protective effects on surrounding bony and soft tissues. Yet, there are important differences between the various RA-TKA systems currently on the market. One such newly introduced RA-TKA system uses imageless technology and performs bony cuts with the use of a burr-based device. The learning curve and complications unique to this system have yet to be assessed. Methods: We evaluated 500 consecutive RA-TKA cases using a newly developed burr-based and imageless system which were done by a single surgeon between the months of October 2021 and February 2023. Operative times were recorded and compared to the previous 150 conventional TKA cases allowing for the learning curve to be calculated using the CUSUM method. Intraoperative and postoperative complications were categorically profiled. Results: The learning curve of this RA-TKA system was found to be 6 cases. Intraoperative complications included unintended bony over resection ( Conclusions: The learning curve and the complication profile of a newly introduced imageless and burr-based RA-TKA system were described. This information serves to guide surgeons in adopting this technology and can counsel them regarding the potential pitfalls and challenges associated with its integration into practice. The work sheds light on the complexity and learning curve of the recently released imageless burr-based RA-TKA system. This important information is intended to help surgeons accept this cutting-edge technology by providing advice on any errors and difficulties that can occur when integrating it into clinical practice. This information can help surgeons navigate the complexities of integrating this new burr-based robotic technology into knee replacement procedures, enabling them to make well-informed decisions and receive guidance.

Indexed as

ComplicationsCORILearning curveRobotic knee replacementSafety

Identifiers

PMID39087033
PMCPMC11286604

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.