Evidence map›Paper›PMID 41551273›Full record

ArticleArthroplasty today2026

Improved Perioperative Outcomes in Robotic-Assisted Revision Total Knee Arthroplasty.

Kevin C Chang, Aleksandra Qilleri, Alexandra Echevarria, Jonathan R Danoff

Abstract read
In one paragraph

Article in Arthroplasty today, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Kevin C ChangDepartment of Orthopaedic Surgery, Huntington Hospital, Northwell Health, Huntington, NY, USA.
Aleksandra QilleriDepartment of Orthopaedic Surgery, North Shore University Hospital/Long Island Jewish Medical Center, Northwell Health, Manhasset, NY, USA.
Alexandra EchevarriaDepartment of Orthopaedic Surgery, North Shore University Hospital/Long Island Jewish Medical Center, Northwell Health, Manhasset, NY, USA.
Jonathan R DanoffDepartment of Orthopaedic Surgery, North Shore University Hospital/Long Island Jewish Medical Center, Northwell Health, Manhasset, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study compares short-term outcomes of robotic-assisted revision total knee arthroplasty (RA-rTKA) to conventional rTKA. We hypothesize that RA-rTKA will accelerate gains in range of motion and time to ambulation postoperatively. Methods: This is a retrospective case-control study reviewing consecutive rTKA performed by a single surgeon between 2017 and 2024. rTKA cases performed prior to 2022 were compared to RA-rTKA performed from 2022 through present day. Revisions for periprosthetic joint infection or fracture were excluded. The primary outcome was hospital length of stay. Secondary outcomes included physical therapy (PT) metrics, blood loss, surgical time, and complications. Data collected included demographics, surgical and implant data, in-hospital PT progress, and outcomes through a minimum of 1 year. Results: Sixty-six revision cases (42 rTKA and 24 RA-rTKA) were included with an average age of 67.7 years. Etiologies included loosening (42), second-stage reimplantation (12) after infection eradication, polyethylene wear (6), instability (6), and other etiologies (6). RA-rTKA case time averaged 27 minutes less than conventional; Conclusions: In this study, RA-rTKA showed improved ambulation in the immediate postoperative period, decreased hospital length of stay, and overall increased knee range of motion. These improvements were realized without increases in complications or operative time.

Indexed as

Revision total knee arthroplastyRobotic-assisted arthroplasty

Identifiers

PMID41551273
PMCPMC12809276

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.