Evidence map›Paper›PMID 35570626›Full record

ArticleZhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery2022

[Accuracy of key point matrix technology based contactless automatic measurement for joint motion of hand].

Lulu Lü, Jiantao Yang, Fanbin Gu, Jingyuan Fan, Chaoyang Wang, Qingtang Zhu, Xiaolin Liu

Abstract read
In one paragraph

Article in Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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.

Lulu LüDepartment of Microsurgery, Orthopedic Trauma and Hand Surgery, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou Guangdong, 510080, P. R. China.
Jiantao YangDepartment of Microsurgery, Orthopedic Trauma and Hand Surgery, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou Guangdong, 510080, P. R. China.
Fanbin GuDepartment of Microsurgery, Orthopedic Trauma and Hand Surgery, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou Guangdong, 510080, P. R. China.
Jingyuan FanDepartment of Microsurgery, Orthopedic Trauma and Hand Surgery, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou Guangdong, 510080, P. R. China.
Chaoyang WangDepartment of Microsurgery, Orthopedic Trauma and Hand Surgery, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou Guangdong, 510080, P. R. China.
Qingtang ZhuDepartment of Microsurgery, Orthopedic Trauma and Hand Surgery, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou Guangdong, 510080, P. R. China.
Xiaolin LiuDepartment of Microsurgery, Orthopedic Trauma and Hand Surgery, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou Guangdong, 510080, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To validate the use of key point matrix technology based contactless automatic measurement for evaluation of joint motion of hand. Methods: Thirty-three volunteers were enrolled to evaluate the extension and flexion of hand joints between May 2021 and November 2021. There were 20 males and 13 females, the age ranged from 16 to 70 years with an average of 30.2 years. The extension angles of 14 joints of 5 fingers (including hyperextension) and the flexion angles of 12 joints of 4 fingers (excluding thumb) of volunteers were measured by key point matrix technology and manual goniometer, respectively. Then 5 participants and repeated measurement experiment were employed to test the system repeatability and accuracy; 28 participants and paired measurement experiment were employed to test the system accuracy. Results: The average repeatability of finger joint motion measured by the key point matrix technology was 1.801° (extension) and 7.823° (flexion), respectively. Compared with manual measurement, the average differences of each finger joint measured by the key point matrix technology were 3.225° in extension and 14.145° in flexion, respectively. The key point matrix technology based contactless automatic evaluation system offered excellent consistency with the manual goniometers ( Conclusion: The key point matrix technology based contactless automatic evaluation provides sufficient measurement repeatability and accuracy in evaluation for the joint motion of hand.

Indexed as

FingersHandAdolescentAdultAgedFemaleHumansMaleMiddle AgedRange of Motion, ArticularTechnologyThumbYoung Adultcontactless automatic evaluationFingerjoint motionkey point matrix technology

Identifiers

PMID35570626
PMCPMC9108647

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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.