Evidence map›Paper›PMID 32147935›Full record

ArticleOrthopaedic surgery2020

Biomechanical Evaluation of Preoperative Rehabilitation in Patients of Anterior Cruciate Ligament Injury.

Wei Li, Zhongli Li, Shuyan Qie, Ji Li, Jia-Ning Xi, Wei-Jun Gong, Yue Zhao, Xue-Mei Chen

Open access · goldAbstract read
In one paragraph

Article in Orthopaedic surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Wei LiDepartment of Orthopedics, General Hospital of PLA, Beijing, China.ORCID https://orcid.org/0000-0002-6378-7723
Zhongli LiDepartment of Orthopedics, General Hospital of PLA, Beijing, China.
Shuyan QieDepartment of Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Ji LiDepartment of Orthopedics, General Hospital of PLA, Beijing, China.
Jia-Ning XiDepartment of Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Wei-Jun GongDepartment of Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Yue ZhaoDepartment of Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Xue-Mei ChenDepartment of Health Management, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNChinese PLA General Hospital · CN

Funding

The Foundation from Beijing Rehabilitation Hospital 2018-004The Foundation from Beijing Rehabilitation Hospital 2018-006
6 · The paper itself

Abstract

objectivesTo investigate the biomechanical characteristics of patients with anterior cruciate ligament (ACL) injury by gait analysis, surface electromyography (SEMG), and proprioception test, and provide rehabilitation suggestions according to the results.

methodsIn this retrospective cohort study, 90 adults with unilateral ACL injury, ranging in age from 19 to 45 years (66 men and 24 women, average age: 30.03 ± 7.91) were recruited for this study form May 2018 to July 2019. They were divided into three groups according to the time after the injury: group A (3-week to 1.5-month), group B (1.5-month to 1 year), and group C (more than 1 year). The SEMG signals were collected from the bilateral rectus femoris (RF), vastus medialis (VM), and vastus lateralis (VL) and the root mean square (RMS) were used to assess muscular activity. SEMG were used to analyze muscles function, gait analysis was used to evaluate the walking stability, balance and location assessment were used to analyze the proprioception.

resultsThrough the comparison between bilateral limbs, all muscles strength shown decreased (RF: 239.94 ± 129.70 vs 364.81 ± 148.98, P = 0.001; VM: 298.88 ± 175.41 vs 515.79 ± 272.49, P = 0.001; VL:389.54 ± 157.97 vs 594.28 ± 220.31, P < 0.001) and the division of proprioception became larger (tandem position: 7.79 ± 1.57 vs 6.33 ± 1.49, P = 0.001; stance with one foot: 8.13 ± 0.84 vs 7.1 ± 0.57, P = 0.003; variance of 30°: 6.96 ± 3.15 vs 4.45 ± 1.67, P = 0.03; variance of 60°: 4.64 ± 3.38 vs 2.75 ± 1.98, P = 0.044) in the injured side when compared to the non-injured and 26 gait parameters were shown difference in group A. In group B, the muscle strength of VL shown decreased (VL: 381.23 ± 142.07 vs 603.9 ± 192.72, P < 0.001) and the division of location of 30° became larger (7.62 ± 4.98 vs 4.33 ± 3.24, P = 0.028) in the injured side when compared to the non-injured side and there were eight gait parameters that showed differences. In group C, the muscle strength and proprioception showed no differences and only 16 gait parameters showed differences between the bilateral limbs.

conclusionThe results proved the deterioration of proprioception in 30° of injured side will not recover and non-injury side and will become worse after 1 year from the injury; among the VL, VM, and RF, the recovery rate of VL is the slowest and bilateral straight leg raising (SLR) (30°) is the best way to train it; the gait stability will be worse after 1 year from the injury. Therefore, we suggest that the training for proprioception in 30° and VL are important for the rehabilitation, and the ACL reconstruction should be performed within 1 year.

Indexed as

AdultAnterior Cruciate Ligament InjuriesBiomechanical PhenomenaElectromyographyFemaleGaitHumansMaleMiddle AgedMilitary PersonnelMuscle StrengthPostural BalancePreoperative PeriodRetrospective StudiesAnterior cruciate ligament (ACL) injuryGait analysis, Surface electromyographyProprioception testRehabilitation

Identifiers

PMID32147935
PMCPMC7189052
OpenAlexW3011883466

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.