Evidence map›Paper›PMID 33739128›Full record

ArticleBone & joint open2021

Radiological outcomes following manual and robotic-assisted unicompartmental knee arthroplasty.

Gregory S Kazarian, Robert L Barrack, Toby N Barrack, Charles M Lawrie, Ryan M Nunley

Abstract read
In one paragraph

Article in Bone & joint open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. 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

5 authors.

Gregory S KazarianDepartment of Orthopaedic Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0003-2726-2417
Robert L BarrackDepartment of Orthopaedic Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-1517-8296
Toby N BarrackDepartment of Orthopaedic Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0003-1962-2400
Charles M LawrieDepartment of Orthopaedic Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-8882-1131
Ryan M NunleyDepartment of Orthopaedic Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0003-0369-7571

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe purpose of this study was to compare the radiological outcomes of manual versus robotic-assisted medial unicompartmental knee arthroplasty (UKA).

methodsPostoperative radiological outcomes from 86 consecutive robotic-assisted UKAs (RAUKA group) from a single academic centre were retrospectively reviewed and compared to 253 manual UKAs (MUKA group) drawn from a prior study at our institution. Femoral coronal and sagittal angles (FCA, FSA), tibial coronal and sagittal angles (TCA, TSA), and implant overhang were radiologically measured to identify outliers.

resultsWhen assessing the accuracy of RAUKAs, 91.6% of all alignment measurements and 99.2% of all overhang measurements were within the target range. All alignment and overhang targets were simultaneously met in 68.6% of RAUKAs. When comparing radiological outcomes between the RAUKA and MUKA groups, statistically significant differences were identified for combined outliers in FCA (2.3% vs 12.6%; p = 0.006), FSA (17.4% vs 50.2%; p < 0.001), TCA (5.8% vs 41.5%; p < 0.001), and TSA (8.1% vs 18.6%; p = 0.023), as well as anterior (0.0% vs 4.7%; p = 0.042), posterior (1.2% vs 13.4%; p = 0.001), and medial (1.2% vs 14.2%; p < 0.001) overhang outliers.

conclusionRobotic system navigation decreases alignment and overhang outliers compared to manual UKA. Given the association between component placement errors and revision in UKA, this strong significant improvement in accuracy may improve implant survival. Level of Evidence: III Cite this article:

Indexed as

AlignmentMalalignmentNavigationOverhangUnicompartmental knee arthroplasty

Identifiers

PMID33739128
PMCPMC8009894

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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.