Evidence map›Paper›PMID 40521297›Full record

ReviewJournal of experimental orthopaedics2025

Indications and outcomes in bi-unicondylar knee arthroplasty: A systematic review.

Luca Bertolino, Alberto Favaro, Francesco Iacono, Maurilio Marcacci, Tommaso Bonanzinga

Abstract readReview
In one paragraph

Review 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 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

5 authors.

Luca BertolinoHumanitas University Pieve Emanuele Milan Italy.ORCID https://orcid.org/0009-0004-0122-7036
Alberto FavaroIRCCS Humanitas Research Hospital Rozzano Milan Italy.ORCID https://orcid.org/0000-0002-9143-0393
Francesco IaconoIRCCS Humanitas Research Hospital Rozzano Milan Italy.ORCID https://orcid.org/0000-0001-6825-2851
Maurilio MarcacciIRCCS Humanitas Research Hospital Rozzano Milan Italy.ORCID https://orcid.org/0000-0002-7484-1246
Tommaso BonanzingaIRCCS Humanitas Research Hospital Rozzano Milan Italy.ORCID https://orcid.org/0000-0003-2861-4699

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of this systematic review is to analyze and provide an overview of the indications, contraindications and the clinical outcomes to bi-unicondylar knee arthroplasty (Bi-UKA). Methods: A comprehensive search was conducted to identify original studies written in English reporting indication criteria or clinical outcomes on Bi-UKA) performed simultaneously or at two different stages. Studies reporting patellofemoral implants with medial or lateral implants, ex-vivo or cadaveric studies were excluded. The study was carried out in accordance with PRISMA guidelines, with the search covering studies up to February 2025. Results: The literature search identified 783 articles, nine of which were included in this review. A total of 343 patients were identified, of which 257 patients underwent bi-UKA. Medial and lateral osteoarthritis (OA) are the main indications for Bi-UKA. The condition of the anterior cruciate ligament (ACL) was taken into consideration by eight studies and 49 patients (19.02%) presenting functional or macroscopic intact ACL were eligible for Bi-UKA. Age was considered as an eligibility criterion in one study alone. In all studies, Bi-UKA led to the improvement of clinical scores compared to their pre-operative values. Conclusions: Both staged and simultaneous Bi-UKA are viable options to treat knee osteoarthritis. However, further research is needed to better investigate bi-UKA. Level of Evidence: Level III.

Indexed as

arthroplastybi‐unicompartmental kneeorthopaedicsosteoarthritisunicompartmental knee arthroplasty

Identifiers

PMID40521297
PMCPMC12167629

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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.