Evidence map›Paper›PMID 35284409›Full record

ArticleFrontiers in bioengineering and biotechnology2022

Intersegmental Coordination in Patients With Total Knee Arthroplasty During Walking.

Yingpeng Wang, Shuyan Qie, Yingqi Li, Songhua Yan, Jizhou Zeng, Kuan Zhang

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yingpeng WangDepartment of Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Shuyan QieDepartment of Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Yingqi LiDepartment of Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Songhua YanSchool of Biomedical Engineering, Capital Medical University, Beijing, China.
Jizhou ZengDepartment of Orthopedics, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
Kuan ZhangSchool of Biomedical Engineering, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precise identification of deficient intersegmental coordination patterns and functional limitations is conducive to the evaluation of surgical outcomes after total knee arthroplasty (TKA) and the design of optimal personalized rehabilitation protocols. However, it is still not clear how and when intersegmental coordination patterns change during walking, and what functional limitations are in patients with TKA. This study was designed to investigate lower limb intersegmental coordination patterns in patients with knee osteoarthritis before and after TKA and identify how intersegmental coordination of patients is altered during walking before and after TKA. It was hypothesized that 6-month after TKA, intersegmental coordination patterns of patients are improved compared with that before TKA, but still do not recover to the level of healthy subjects. Gait analysis was performed on 36 patients before and 6-month after TKA and on 34 healthy subjects. Continuous relative phase (CRP) derived from the angle-velocity phase portrait was used to measure the coordination between interacting segments throughout the gait cycle. Thigh-shank CRP and shank-foot CRP were calculated for each subject. Statistical parametric mapping (SPM), a one-dimensional analysis of the entire gait cycle curve, was performed directly to determine which periods of the gait cycle were different in patients and healthy subjects. Six-month after TKA, thigh-shank CRP was significantly higher during 5-12% of the gait cycle (

Indexed as

continuous relative phasegait analysisintersegmental coordinationstatistical parametric mappingtotal knee arthroplasty

Identifiers

PMID35284409
PMCPMC8908033

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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.