Evidence map›Paper›PMID 41393049›Full record

ArticleJournal of surgical case reports2025

Kinematically aligned robotic total knee arthroplasty for post-traumatic femoral recurvatum with hardware retention: a case report.

Danil Chernov, Nicholas Frappa, Thomas Listopadzki, Matthew Alben, Morgan Dillon, Alexander Kovacs, Sridhar R Rachala

Abstract readCase Reports
In one paragraph

Article in Journal of surgical case reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Danil ChernovJacobs School of Medicine and Biomedical Sciences, 955 Main St. Buffalo, NY 14203, United States.ORCID https://orcid.org/0009-0001-1310-623X
Nicholas FrappaJacobs School of Medicine and Biomedical Sciences, 955 Main St. Buffalo, NY 14203, United States.ORCID https://orcid.org/0009-0007-0623-2864
Thomas ListopadzkiDepartment of Orthopaedics and Sports Medicine, 462 Grider St. Buffalo, NY 14215, United States.
Matthew AlbenDepartment of Orthopaedics and Sports Medicine, 462 Grider St. Buffalo, NY 14215, United States.
Morgan DillonJacobs School of Medicine and Biomedical Sciences, 955 Main St. Buffalo, NY 14203, United States.ORCID https://orcid.org/0009-0009-5032-316X
Alexander KovacsDepartment of Orthopaedics and Sports Medicine, 462 Grider St. Buffalo, NY 14215, United States.
Sridhar R RachalaDepartment of Orthopaedics and Sports Medicine, 462 Grider St. Buffalo, NY 14215, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a 58-year-old male with severe posttraumatic osteoarthritis and distal femoral recurvatum deformity following adolescent fracture fixation. Preoperative imaging demonstrated a healed malunion stabilized by a lateral locking plate and tricompartmental osteoarthritis with 12° recurvatum. A single-stage robotic-assisted kinematically aligned total knee arthroplasty was performed using cementless cruciate-retaining components while retaining the femoral plate. Careful preoperative planning and intraoperative adjustment of bone resections enabled restoration of joint line orientation, balanced soft tissues, and stable press-fit fixation without stems or osteotomy. At two-year follow-up, the patient reported excellent function and pain-free mobility, with outcome scores including KOOS JR 91.98, Oxford Knee Score 47, and Forgotten Joint Score 100. This case highlights the feasibility of robotic-assisted, hardware-retaining, cementless TKA in the setting of complex extra-articular deformity, avoiding staged hardware removal or constrained implants while achieving durable clinical outcomes.

Indexed as

extra-articular deformityhardware retentionkinematic alignmentrobotic-assisted surgerytotal knee arthroplasty

Identifiers

PMID41393049
PMCPMC12701573

What OpenQuestion holds

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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.