Evidence map›Paper›PMID 40150679›Full record

ArticleBioengineering (Basel, Switzerland)2025

Different Spatial Characteristic Changes in Lumbopelvic Kinematics Before and After Fatigue: Comparison Between People with and Without Low Back Pain.

Xin Xi, Ling Zhang, Haixin Yu, Yifei Qin, Long Jia, Tsung-Yuan Tsai, Yan Yu, Liming Cheng

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. 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
–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

4 citing papers in PubMed.

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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

8 authors.

Xin XiDepartment of Spine Surgery, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200092, China.
Ling ZhangSchool of Exercise and Health, Shanghai University of Sport, 200th. Hengren Road, Yangpu District, Shanghai 200438, China.ORCID 0000-0002-8573-9044
Haixin YuDepartment of Orthopedic Surgery, Yangpu Hospital, School of Medicine, Tongji University, Shanghai 200090, China.
Yifei QinDepartment of Spine Surgery, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200092, China.
Long JiaDepartment of Orthopedics, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai 201799, China.
Tsung-Yuan TsaiSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.ORCID 0000-0003-1522-2987
Yan YuDepartment of Spine Surgery, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200092, China.
Liming ChengDepartment of Spine Surgery, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200092, China.

Funding

Clinical Research Plan of SHDC SHDC2020CR2035B
6 · The paper itself

Abstract

backgroundThe lumbopelvic region plays a pivotal role in enabling various functional activities. This study quantified and compared the kinematic changes between healthy individuals and patients with recurrent low back pain (LBP) in both rested and fatigued states to gain insight into the kinematic adaptation and mechanisms underlying kinematic variations that occur in the presence of these factors.

methodsParticipants were divided into two groups: the LBP (

resultsRepetitive lifting- and lowering-induced fatigue significantly affected lumbopelvic kinematics in the anterior/posterior translation (mm) and rotation around the z-axis in both healthy individuals and patients with LBP (

conclusionsThe lumbopelvic kinematic changes observed in both LBP patients and healthy individuals after fatigue may indicate protective compensation or vulnerability and could play a role in LBP dysfunction.

Indexed as

dual fluoroscopyfatigueforward-backward bendinglow back painlumbopelvic kinematics

Identifiers

PMID40150679
PMCPMC11939769

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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.