Evidence map›Paper›PMID 33234122›Full record

ArticleBMC musculoskeletal disorders2020

Patient-reported outcome after patient-specific unicondylar knee arthroplasty for unicompartmental knee osteoarthritis.

Viola Freigang, Markus Rupp, Christian Pfeifer, Michael Worlicek, Stefan Radke, Stephan Deckelmann, Volker Alt, Florian Baumann

Abstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Insufficient evidence to confirm benefits of custom partial knee arthroplasty: a systematic review.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2022
    Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Survival of Patient-Specific Unicondylar Knee Replacement.Journal of personalized medicine · 2023
    Article
  9. 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

8 authors.

Viola FreigangDepartment of Trauma Surgery, Regensburg University Medical Center, 93042, Regensburg, Germany.
Markus RuppDepartment of Trauma Surgery, Regensburg University Medical Center, 93042, Regensburg, Germany.
Christian PfeiferDepartment of Trauma Surgery, Regensburg University Medical Center, 93042, Regensburg, Germany.
Michael WorlicekDepartment of Trauma Surgery, Regensburg University Medical Center, 93042, Regensburg, Germany.
Stefan RadkeDepartment of Orthopaedic Surgery, Rotkreuzklinikum Munich, Munich, Germany.
Stephan DeckelmannDepartment of Orthopaedic Surgery, Rotkreuzklinikum Munich, Munich, Germany.
Volker AltDepartment of Trauma Surgery, Regensburg University Medical Center, 93042, Regensburg, Germany.
Florian BaumannDepartment of Trauma Surgery, Regensburg University Medical Center, 93042, Regensburg, Germany. florian.baumann@ukr.de.ORCID http://orcid.org/0000-0003-1413-3587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnicondylar knee arthroplasty was introduced in the late 1960s and remains a topic of controversial discussion. Patient-specific instruments and patient-specific implants are not yet the standard of care. The question remains whether this time-consuming and costly technique can be beneficial for the patient. The aim of this study was to evaluate whether a custom-made unicondylar knee arthroplasty leads to improved patient-reported outcome.

methodsThis retrospective study evaluates the patient-reported outcome after custom-made unicondylar knee arthroplasty (CM-UKA, ConforMIS™ iUni® G2, ConforMIS Inc., Billerica, MA, USA). We evaluated 29 patients (31 knees) at an average of 2.4 years (range 1.2-3.6 years) after operation for unicondylar osteoarthritis of the knee. The target zone for the postoperative leg axis was a slight under-correction of 0-2° varus. Follow-up evaluation included the Forgotten Joint Score (FJS), the Knee Society Score (KSS), a Visual Analogue Scale (VAS) and a radiographic evaluation including a long-leg radiograph. Primary outcome measure was patient satisfaction based on the Forgotten Joint Score.

resultsWe found an excellent postoperative health-related quality of life with a mean FJS of 76.8 (SD 17.9) indicating a low level of joint awareness after CM-UKA. The mean preoperative KSS was 66.0 (SD 13.71) and 59.4 (17.9) for the KSS function score. The increase was 22.8 points for the KSS knee score (p < 0.0001) and 34.8 points for the KSS function score (p < 0.0001). The VAS for pain decreased from a mean of 5.4 (SD 1.8) to 1.1 (SD 1.2) (p < 0.0001). The malalignment rate with a postoperative deviation of more than 2° in the leg axis was 29%. There was no evidence of component loosening after a mean follow-up of 2.4 years.

conclusionsCustom-made unicondylar knee arthroplasty (CM-UKA) can provide improved clinical and functional outcomes for patients with isolated knee osteoarthritis of the medial compartment. We found excellent results regarding patient satisfaction and a low malalignment rate for CM-UKA. Further studies are needed to investigate long-term survivorship of the implant. LEVEL OF EVIDENCE: Level IV.

trial registrationTrial Registration number: Z-2014-0389-10 Regensburg Clinical Studies Center (REGCSC) 09/07/2014.

Indexed as

Arthroplasty, Replacement, KneeKnee ProsthesisOsteoarthritis, KneeHumansKnee JointPatient Reported Outcome MeasuresQuality of LifeRetrospective StudiesTreatment OutcomeForgotten joint score (FJS)OutcomePatient reported outcome measurement (PROM)Unicompartmental knee arthroplasty (UKA)

Identifiers

PMID33234122
PMCPMC7686700

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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.