Evidence map›Paper›PMID 39199803›Full record

ArticleBioengineering (Basel, Switzerland)2024

Variability in Alignment and Bone Resections in Robotically Balanced Total Knee Arthroplasties.

Matthew S Hepinstall, Catherine Di Gangi, Christian Oakley, Michael Sybert, Patrick A Meere, Morteza Meftah

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Matthew S HepinstallDepartment of Orthopedic Surgery, NYU Langone Health, New York, NY 10003, USA.
Catherine Di GangiDepartment of Orthopedic Surgery, NYU Langone Health, New York, NY 10003, USA.
Christian OakleyDepartment of Orthopedic Surgery, NYU Langone Health, New York, NY 10003, USA.
Michael SybertDepartment of Orthopedic Surgery, NYU Langone Health, New York, NY 10003, USA.
Patrick A MeereDepartment of Orthopedic Surgery, NYU Langone Health, New York, NY 10003, USA.
Morteza MeftahDepartment of Orthopedic Surgery, NYU Langone Health, New York, NY 10003, USA.ORCID 0000-0002-1202-9316

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Image-based robotic-assisted total knee arthroplasty (RA-TKA) allows three-dimensional surgical planning informed by osseous anatomy, with intraoperative adjustment based on a dynamic assessment of ligament laxity and gap balance. The aim of this study was to identify ranges of implant alignment and bone resections with RA-TKA. We retrospectively reviewed 484 primary RA-TKA cases, stratified by preoperative coronal alignment. Demographics and intraoperative data were collected and compared using Chi-square and ANOVA tests. Planned limb, femoral, and tibial alignment became increasingly varus in a progressive order from valgus to neutral to the highest in varus knees (

Indexed as

alignment targetsresection targetsrobotic-arm assistancetotal knee arthroplasty

Identifiers

PMID39199803
PMCPMC11351558

What OpenQuestion holds

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LicenceCC BY
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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.