Evidence map›Paper›PMID 31319875›Full record

ArticleJournal of orthopaedic surgery and research2019

Comparison of the accelerometer-based navigation system with conventional instruments for total knee arthroplasty: a propensity score-matched analysis.

Xiang Gao, Yu Sun, Zhao-He Chen, Tian-Xu Dou, Qing-Wei Liang, Xu Li

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of orthopaedic surgery and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 1 institution in 1 country.

Xiang GaoDepartment of Orthopedics, The First Hospital of China Medical University, 155, Shenyang, 110000, Liaoning Province, People's Republic of China.
Yu SunDepartment of Orthopedics, The First Hospital of China Medical University, 155, Shenyang, 110000, Liaoning Province, People's Republic of China.
Zhao-He ChenDepartment of Orthopedics, The First Hospital of China Medical University, 155, Shenyang, 110000, Liaoning Province, People's Republic of China.
Tian-Xu DouDepartment of Orthopedics, The First Hospital of China Medical University, 155, Shenyang, 110000, Liaoning Province, People's Republic of China.
Qing-Wei LiangDepartment of Orthopedics, The First Hospital of China Medical University, 155, Shenyang, 110000, Liaoning Province, People's Republic of China.
Xu LiDepartment of Orthopedics, The First Hospital of China Medical University, 155, Shenyang, 110000, Liaoning Province, People's Republic of China. likyokucmu@163.com.ORCID http://orcid.org/0000-0002-6994-227X
First Hospital of China Medical University · CN

Funding

Natural Science Foundation of Liaoning Province 2015020473
6 · The paper itself

Abstract

backgroundThe accelerometer-based navigation (ABN) system is an emerging navigation system for total knee arthroplasty (TKA). This study aimed to determine whether the ABN system could improve the accuracy of mechanical alignment, component positioning, and short-term clinical outcomes for TKA when compared to conventional instruments (CON).

methodsA total of 204 patients were selected and divided into two groups (CON: 135, ABN: 69) after applying the inclusion and exclusion criteria. Then, 1:1 propensity score matching was performed for age, gender, body mass index, hip-knee-ankle angle (HKA), Knee Society Score (KSS), Western Ontario and McMaster Universities (WOMAC) score, and follow-up times. A total of 82 consecutive patients (82 knees) underwent total knee arthroplasty using ABN (n = 41) or CON (n = 41) were enrolled in this study. The postoperative HKA, frontal femoral component (FFC) angle, frontal tibial component (FTC) angle, lateral femoral flexion (LFF) angle, and lateral tibial component (LTC) angle were compared between the two groups to evaluate mechanical alignment and component positioning. Additional clinical parameters, including haemoglobin reduction, the KSS, and the WOMAC score, were assessed at the final follow-up (the mean follow-up period was 20.9 months in the CON group and 21.2 months in the ABN group).

resultsThe ABN group had a significantly improved mean absolute deviation of HKA (P = 0.033), FFC (P = 0.004), FTC (P = 0.017), LFF (P = 0.023), and LTC (P = 0.031) compared to those of the CON group. The numbers of FFCs and LTCs within 3° were significantly different (P = 0.021, P = 0.023, respectively) between the two groups. However, no differences in the numbers of FTCs within 3° (P = 0.166) and LFF within 3° (P = 0.556) were found. The ABN group had a significantly higher KS function score (P = 0.032), and the pain and stiffness scores were significantly different (P = 0.034, P = 0.020, respectively) between the two groups. Moreover, the ABN system could reduce hidden blood loss postoperatively. However, no difference was found in the KS knee score and the total WOMAC score between the two groups.

conclusionThis study demonstrates that ABN system improved TKA mechanical alignment and component positioning and decreased the hidden blood loss postoperatively compared to conventional instruments. However, no significant differences were found in short-term clinical outcomes between ABN and conventional instruments at the final follow-up. However, whether this system contributes to revision rates and long-term clinical outcomes requires further study.

Indexed as

Propensity ScoreSpatial NavigationAccelerometryAgedArthroplasty, Replacement, KneeCase-Control StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedRetrospective StudiesAccelerometer-based navigationBlood lossMechanical axisPrimary total knee arthroplastySurgical technique

Identifiers

PMID31319875
PMCPMC6637591
OpenAlexW2959534471

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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.