Evidence map›Paper›PMID 40529236›Full record

ArticleJournal of clinical orthopaedics and trauma2025

Robotic-assisted total knee arthroplasty in the USA: Nationwide adoption trends towards 70 % by 2030.

Shujaa T Khan, Ahmed K Emara, Guangjin Zhou, Siran M Koroukian, Cleveland Clinic Adult Reconstruction Research, Nicolas S Piuzzi, Cleveland Clinic Adult Reconstruction Research consists of, Ignacio Pasqualini, Alvaro Ibaseta, Benjamin E Jevnikar and 2 more

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In one paragraph

Article in Journal of clinical orthopaedics and trauma, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Article
  4. Review
  5. Article
  6. Increasing Utilization Trends of Robotic Assistance in Orthopaedic Surgery.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026
    Article
  7. Observational
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Shujaa T KhanCleveland Clinic Foundation Department of Orthopedic Surgery Cleveland, OH, 44195, USA.
Ahmed K EmaraCleveland Clinic Foundation Department of Orthopedic Surgery Cleveland, OH, 44195, USA.
Guangjin ZhouDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
Siran M KoroukianDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
Cleveland Clinic Adult Reconstruction Research
Nicolas S PiuzziCleveland Clinic Foundation Department of Orthopedic Surgery Cleveland, OH, 44195, USA.
Cleveland Clinic Adult Reconstruction Research consists of
Ignacio PasqualiniCleveland Clinic Foundation Department of Orthopedic Surgery Cleveland, OH, 44195, USA.
Alvaro IbasetaCleveland Clinic Foundation Department of Orthopedic Surgery Cleveland, OH, 44195, USA.
Benjamin E JevnikarCleveland Clinic Foundation Department of Orthopedic Surgery Cleveland, OH, 44195, USA.
Nicholas K SchiltzDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
Matthew DerenCleveland Clinic Foundation Department of Orthopedic Surgery Cleveland, OH, 44195, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Robotic-assistance is becoming more prevalent in total knee arthroplasty (TKA). This study aims to (1) project the volume and percentage of manual (M-TKA) and robotic-assisted TKA (RA-TKA) in the United States through 2030, and (2) compare healthcare utilization and postoperative complications between RA-TKA and M-TKA. Methods: Two national databases (Nationwide Inpatient Database and National Ambulatory Surgery Service Database) from 2012 to 2020 were queried for manual and robotic TKAs using ICD-10 and CPT codes. Future RA-TKA utilization was estimated using log-binomial regression modeling. The predicted probabilities from the regression models were multiplied by the projected population of each age-sex-hospital region subgroup per year through 2030. Results: RA-TKA utilization increased from 0.01 % in 2008 to 8.5 % in 2020. Projections indicate that by 2030, RA-TKA is expected to represent 70.1 % (95 % CI:65.5-74.5) of the 2,631,972 TKAs performed. M-TKA exhibited higher incidences of mechanical, non-mechanical, and infective complications compared to RA-TKA (1.8 % vs. 0.7 %; 30.1 % vs. 24.9 %; 1.8 % vs. 0.7 % respectively, p < 0.0001). A greater proportion of RA-TKA patients were discharged to home health care (88.7 % vs. 73 %, p < 0.0001), and they had shorter hospital stays (1.9 vs. 2.8 days, p < 0.0001). Conclusion: RA-TKA is anticipated to make up more than 70 % of all TKAs performed in the United States by 2030. The increasing integration of robotic technology raises the need for deeper explorations into value based on training, cost efficiency and long-term outcomes to understand the ramifications of widespread adoption of RA-TKA as a routine procedure. However, this study is limited by its retrospective design, reliance on administrative coding which may lead to misclassification, and the unavailability of outpatient data prior to 2018.

Indexed as

ArthroplastyDiffusion of innovationForecastingKneeReplacementRobotics

Identifiers

PMID40529236
PMCPMC12167815

What OpenQuestion holds

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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.