Evidence map›Paper›PMID 38404408›Full record

ArticleArthroplasty today2024

Robotic-Assisted Total Knee Arthroplasty in Obese Patients.

Mary K Richardson, Ryan M DiGiovanni, Brian K McCrae, Wesley S Cooperman, John Ludington, Nathanael D Heckmann, Daniel A Oakes

Open access · goldAbstract read
In one paragraph

Article in Arthroplasty today, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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 2 institutions in 1 country.

Mary K RichardsonDepartment of Orthopaedic Surgery, School of Medicine of USC, Los Angeles, CA, USA.
Ryan M DiGiovanniDepartment of Orthopaedic Surgery, School of Medicine of USC, Los Angeles, CA, USA.
Brian K McCraeThe Warren Alpert Medical School of Brown University, Providence, RI, USA.
Wesley S CoopermanDepartment of Orthopaedic Surgery, School of Medicine of USC, Los Angeles, CA, USA.
John LudingtonDepartment of Orthopaedic Surgery, School of Medicine of USC, Los Angeles, CA, USA.
Nathanael D HeckmannDepartment of Orthopaedic Surgery, School of Medicine of USC, Los Angeles, CA, USA.
Daniel A OakesDepartment of Orthopaedic Surgery, School of Medicine of USC, Los Angeles, CA, USA.
LAC+USC Medical Center · USBrown University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Robotic-assisted systems have gained popularity in total knee arthroplasty (TKA). The purpose of this study was to evaluate operative characteristics and radiographic outcomes of obese patients undergoing robotic-assisted TKA. Methods: A retrospective review of consecutive cases performed by a single surgeon was performed from January 1, 2016, to January 31, 2022. Adult patients with body mass index ≥35 kg/m Results: Age, body mass index, and estimated blood loss were not significantly different between the cohorts. The robotic-assisted cohort experienced longer tourniquet times (93.3 vs 75.5 minutes, Conclusions: Obese patients treated with robotic-assisted TKA had postoperative alignment closer to neutral and fewer postoperative radiographic outliers than patients treated with conventional instrumentation. The results of this study support use of robotic-assisted technologies in TKA, particularly in obese patients.

Indexed as

ConventionalObesityRadiographic outcomesRobotic-assistedTotal knee arthroplasty

Identifiers

PMID38404408
PMCPMC10885316
OpenAlexW4391978737

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.