Evidence map›Paper›PMID 39238881›Full record

ReviewJB & JS open access

Robots on the Stage: A Snapshot of the American Robotic Total Knee Arthroplasty Market.

Avinash Inabathula, Dimitar I Semerdzhiev, Anand Srinivasan, Farid Amirouche, Lalit Puri, Hristo Piponov

Abstract readReview
In one paragraph

Review in JB & JS open access. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 2050: An Arthroplasty Odyssey.Healthcare (Basel, Switzerland) · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
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

6 authors.

Avinash InabathulaNorthshore University Health System, Evanston, Illinois.ORCID https://orcid.org/0009-0009-7546-3812
Dimitar I SemerdzhievArkansas College of Osteopathic Medicine, Fort Smith, Arkansas.ORCID https://orcid.org/0000-0002-8587-2902
Anand SrinivasanNorthshore University Health System, Evanston, Illinois.ORCID https://orcid.org/0009-0003-0492-6820
Farid AmiroucheNorthshore University Health System, Evanston, Illinois.ORCID https://orcid.org/0000-0002-3002-4199
Lalit PuriNorthshore University Health System, Evanston, Illinois.ORCID https://orcid.org/0009-0000-0066-7866
Hristo PiponovNorthshore University Health System, Evanston, Illinois.ORCID https://orcid.org/0000-0001-6965-609X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

» Computer-assisted robots aid orthopaedic surgeons in implant positioning and bony resection. Surgeons selecting a robot for their practice are faced with numerous options. This study aims to make the choice less daunting by reviewing the most commonly used Food and Drug Administration-approved robotic total knee arthroplasty platforms in the American arthroplasty market.» Modern total knee arthroplasty (TKA) robots use computer guidance to create a virtual knee model that serves as the surgeon's canvas for resection planning.» Most available robotic TKA (rTKA) systems are closed semiactive systems that restrict implant use to those of the manufacturer.» Each system has distinct imaging requirements, safety features, resection methods, and operating room footprints that will affect a surgeon's technique and practice.» Robots carry different purchase, maintenance, and equipment costs that will influence patient access across different socioeconomic groups.» Some studies show improved early patient-reported outcomes with rTKA, but long-term studies have yet to show clinical superiority over manual TKA.

Identifiers

PMID39238881
PMCPMC11368221

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.