Evidence map›Paper›PMID 37331940›Full record

Trial reportZhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery2023

[Three-dimensional kinematic analysis of knee joint after anterior cruciate ligament reconstruction with personalized femoral positioner based on apex of deep cartilage].

Renjie He, Ziwen Ning, Zhengliang Shi, Ziming Gu, Yanlin Li, Guoliang Wang, Chuan He

Open access · greenAbstract readRandomized Controlled TrialEnglish Abstract
In one paragraph

Trial report in Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. [Effectiveness of anterior cruciate ligament reconstruction with personalized femoral locator based on apex of deep cartilage].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2023
    Trial
  2. 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

7 authors at 1 institution in 1 country.

Renjie HeDepartment of Sports Medicine, the First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, 650032, P. R. China.
Ziwen NingDepartment of Sports Medicine, the First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, 650032, P. R. China.
Zhengliang ShiDepartment of Sports Medicine, the First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, 650032, P. R. China.
Ziming GuDepartment of Sports Medicine, the First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, 650032, P. R. China.
Yanlin LiDepartment of Sports Medicine, the First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, 650032, P. R. China.
Guoliang WangDepartment of Sports Medicine, the First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, 650032, P. R. China.
Chuan HeDepartment of Sports Medicine, the First Affiliated Hospital of Kunming Medical University, Kunming Yunnan, 650032, P. R. China.
Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the changes of knee joint kinematics after anterior cruciate ligament (ACL) reconstruction assisted by personalized femoral positioner based on the apex of deep cartilage (ADC). Methods: Between January 2021 and January 2022, a total of 40 patients with initial ACL rupture who met the selection criteria were randomly divided into the study group (using the personalized femoral positioner based on ADC design to assist ACL reconstruction) and the control group (not using the personalized femoral positioner to assist ACL reconstruction), with 20 patients in each group. Another 20 volunteers with normal knee were collected as a healthy group. There was no significant difference in gender, age, body mass index, and affected side between groups ( Results: In the healthy group, the flexion and extension angle was (57.80±3.45)°, the varus and valgus angle was (10.54±1.05)°, the internal and external rotation angle was (13.02±1.66)°, and the anteroposterior displacement was (1.44±0.39) cm, the superior and inferior displacement was (0.86±0.20) cm, and the internal and external displacement was (1.38±0.39) cm. The maximum step length was (51.24±1.29) cm, the minimum step length was (45.69±2.28) cm, and the step frequency was (12.45±0.47) step/minute. Compared with the healthy group, the flexion and extension angles and internal and external rotation angles of the patients in the study group and the control group decreased at 3 months after operation, and the flexion and extension angles of the patients in the control group decreased at 6 months after operation, and the differences were significant ( Conclusion: Compared with conventional surgery, ACL reconstruction assisted by personalized femoral positioner based on ADC design can help patients achieve more satisfactory early postoperative kinematic results, and three-dimensional kinematic analysis can more objectively and dynamically evaluate the postoperative recovery of knee joint.

Indexed as

Anterior Cruciate Ligament InjuriesAnterior Cruciate Ligament ReconstructionBiomechanical PhenomenaCartilageFemurHumansKnee JointRange of Motion, Articularanterior cruciate ligamentfemoral positionerfemoral tunnelgait analysisKnee joint

Identifiers

PMID37331940
PMCPMC10277242
OpenAlexW4381157937

What OpenQuestion holds

Textmetadata
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.