Evidence map›Paper›PMID 40103674›Full record

ArticleJournal of experimental orthopaedics2025

Intraoperative robotic measurements of coronal alignment in total knee arthroplasty correlate with pre- and post-operative long-leg radiographs.

Anoop S Chandrashekar, Jacob A Fox, Logan M Locascio, Gregory G Polkowski, Martin Faschingbauer, J Ryan Martin

Abstract read
In one paragraph

Article in Journal of experimental orthopaedics, 2025. 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. Review
  2. 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.

Anoop S ChandrashekarVanderbilt University School of Medicine Nashville Tennessee USA.ORCID 0000-0003-2079-3303
Jacob A FoxDepartment of Orthopaedic Surgery Vanderbilt University Medical Center Nashville Tennessee.
Logan M LocascioVanderbilt University School of Medicine Nashville Tennessee USA.
Gregory G PolkowskiDepartment of Orthopaedic Surgery Vanderbilt University Medical Center Nashville Tennessee.
Martin FaschingbauerDepartment for Orthopaedic Surgery Ulm University Ulm Germany.
J Ryan MartinDepartment of Orthopaedic Surgery Vanderbilt University Medical Center Nashville Tennessee.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study sought to validate intraoperative robotic measurements of femoral and tibial component coronal alignment in total knee arthroplasty (TKA) by comparing to pre- and post-operative standing, double stance, long-leg radiographs (LLR). Methods: This retrospective cohort study included 59 unique patients undergoing primary TKA at a single institution. Pre- and post-operative femoral and tibial coronal alignment were measured on LLRs using a deep learning artificial intelligence model and compared to measurements obtained from the imageless robotic system to evaluate the robot's accuracy and reliability. Results: Robotic measurements were highly correlated with measurements from preoperative LLR (Pearson Conclusions: The findings of this study suggest that there were no significant differences in the coronal alignment of TKA when assessed by a robotic system compared to LLR. This signifies the robotic system's high intraoperative accuracy and reliability in determining coronal alignment. Level of Evidence: Level III.

Indexed as

alignmentartificial intelligenceCORIkneerobotic total knee arthroplasty

Identifiers

PMID40103674
PMCPMC11918132

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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.