Evidence map›Paper›PMID 33964958›Full record

ArticleJournal of orthopaedic surgery and research2021

Accuracy of soft tissue balancing in total knee arthroplasty using surgeon-defined assessment versus a gap-balancer or electronic sensor.

Ran Zhao, Yanqing Liu, Hua Tian

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. [Cumulative sum control chart analysis of soft tissue balance in total knee replacement assisted by electronic pressure sensor].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2023
    Article
  9. Observational
  10. Smart sensor implant technology in total knee arthroplasty.Journal of clinical orthopaedics and trauma · 2021
    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

3 authors.

Ran ZhaoPeking University Third Hospital, Department of Orthopaedics, Engineering Research Center of Bone and Joint Precision Medicine, Ministry of Education, 49 North Garden Road, Beijing, 100191, Haidian District, China.
Yanqing LiuPeking University Third Hospital, Department of Orthopaedics, Engineering Research Center of Bone and Joint Precision Medicine, Ministry of Education, 49 North Garden Road, Beijing, 100191, Haidian District, China. liuyanqing71@126.com.
Hua TianPeking University Third Hospital, Department of Orthopaedics, Engineering Research Center of Bone and Joint Precision Medicine, Ministry of Education, 49 North Garden Road, Beijing, 100191, Haidian District, China. huatian@bjmu.edu.cn.

Funding

the Beijing Municipal Science & Technology Commission D171100003217001
6 · The paper itself

Abstract

backgroundSoft tissue balancing is essential for the success of total knee arthroplasty (TKA) and is mainly dependent on surgeon-defined assessment (SDA) or a gap-balancer (GB). However, an electronic sensor has been developed to objectively measure the gap pressure. This study aimed to evaluate the accuracy of soft tissue balancing using SDA and GB compared with a sensor.

methodsForty-eight patients undergoing TKA (60 knees) were prospectively enrolled. Soft tissue balancing was sequentially performed using SDA, a GB, and an electronic sensor. We compared the SDA, GB, and sensor data to calculate the sensitivity, specificity, and accuracy at 0°, 45°, 90°, and 120° flexion. Cumulative summation (CUSUM) analysis was performed to assess the surgeon's performance during the sensor introductory phase.

resultsThe sensitivity of SDA was 63.3%, 68.3%, 80.0%, and 80.0% at 0°, 45°, 90°, and 120°, respectively. The accuracy of the GB compared with sensor data was 76.7% and 71.7% at 0° and 90°, respectively. Cohen's kappa coefficient for the accuracy of the GB was 0.406 at 0° (moderate agreement) and 0.227 at 90° (fair agreement). The CUSUM 0° line achieved good prior performance at case 45, CUSUM 90° and 120° showed a trend toward good prior performance, while CUSUM 45° reached poor prior performance at case 8.

conclusionSDA was a poor predictor of knee balance. GB improved the accuracy of soft tissue balancing, but was still less accurate than the sensor, particularly for unbalanced knees. SDA improved with ongoing use of the sensor, except at 45° flexion.

Indexed as

Knee ProsthesisRange of Motion, ArticularSurgeonsArthroplasty, Replacement, KneeBiomechanical PhenomenaCohort StudiesConnective TissueElectronics, MedicalHumansLearning CurveOsteoarthritis, KneeSensitivity and SpecificityTreatment OutcomeGap-balancerLearning curveSensorTotal knee arthroplasty

Identifiers

PMID33964958
PMCPMC8106209

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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.