Evidence map›Paper›PMID 33553538›Full record

ArticleArthroplasty today2021

Improved Compartment Balancing Using a Robot-Assisted Total Knee Arthroplasty.

Michael B Held, Matthew J Grosso, Anastasia Gazgalis, Nana O Sarpong, Venkat Boddapati, Alexander Neuwirth, Jeffrey A Geller

Open access · goldAbstract read
In one paragraph

Article in Arthroplasty today, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
7.1field-weighted citation impact, top 2% of its field
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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. [A multicenter randomized controlled trial of domestic robot-assisted and conventional total knee arthroplasty].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2023
    Trial
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. High accuracy of a new robotically assisted technique for total knee arthroplasty: an in vivo study.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2023
    Article
  20. 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

7 authors at 1 institution in 1 country.

Michael B HeldDepartment of Orthopaedic Surgery, Columbia University Medical Center, New York, NY, USA.
Matthew J GrossoDepartment of Orthopaedic Surgery, Columbia University Medical Center, New York, NY, USA.
Anastasia GazgalisDepartment of Orthopaedic Surgery, Columbia University Medical Center, New York, NY, USA.
Nana O SarpongDepartment of Orthopaedic Surgery, Columbia University Medical Center, New York, NY, USA.
Venkat BoddapatiDepartment of Orthopaedic Surgery, Columbia University Medical Center, New York, NY, USA.
Alexander NeuwirthDepartment of Orthopaedic Surgery, Columbia University Medical Center, New York, NY, USA.
Jeffrey A GellerDepartment of Orthopaedic Surgery, Columbia University Medical Center, New York, NY, USA.
Columbia University Irving Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobot-assisted surgery was developed to improve accuracy and outcomes in total knee arthroplasty (TKA). One important determinant of TKA success is a well-balanced knee throughout the range of motion. The purpose of this study is to determine if robot-assisted TKA (RA-TKA) results in improved intracompartmental ligament balance compared with conventional jig-based instrumentation (CM-TKA).

methodsThis retrospective cohort study included 2 cohorts-a CM-TKA (n = 49) vs RA-TKA (n = 37) cohort. Demographic and intraoperative data, including intraoperative compartment loads, were measured after final implant implantation in extension (10°), mid-flexion (45°), and full flexion (90°), using an intraoperative compartment pressure sensor. An a priori power analysis revealed our study exhibited >80% power in detecting a 5-pound (lb) difference in compartment loads in the 2 cohorts.

resultsThere was no difference between medial and lateral compartment loads in extension, mid-flexion, and full flexion for the conventional (15.1 lbs, 15.9 lbs, and 13.4 lbs, respectively) vs RA-TKA (14.2 lbs, 15.1 lbs, and 10.3 lbs, respectively). The percentage of patients with high load compartment pressure in flexion (>40 lbs) by the conclusion of the surgery was significantly greater for the conventional (18%) vs the robotic TKA cohort (3%,

conclusionsIn this series, RA-TKA resulted in improved intraoperative compartment balancing in flexion with no observed difference in mid-flexion and extension compared with CM-TKA.

Indexed as

Compartmental balancingRobotic assisted TKARobotic navigationTKATotal knee replacement

Identifiers

PMID33553538
PMCPMC7850935
OpenAlexW3126326147

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.