Evidence map›Paper›PMID 42225679›Full record

ArticleScientific data2026

A dataset for bilateral lower limb muscle synergy patterns in unilateral anterior cruciate ligament reconstructed patients.

Hongxiang Zhang, Mengli Wei, Yaping Zhong, Gewenjin Zhu

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. 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

4 authors.

Hongxiang Zhang *Wuhan Sports University, Wuhan, 430070, China.
Mengli Wei *Wuhan Sports University, Wuhan, 430070, China.
Yaping ZhongWuhan Sports University, Wuhan, 430070, China. zhongyaping@whsu.edu.cn.
Gewenjin ZhuSoochow University, Suzhou, 215021, China.

Funding

Decision-making Consultation Research Project of the General Administration of Sport of China 2023-B-19Hubei Provincial Higher Education Teaching Research Project 2022395
6 · The paper itself

Abstract

This data descriptor presents a bilateral lower limb muscle synergy dataset from 17 unilateral anterior cruciate ligament reconstruction athletes (9 men, 8 women; training experience > 4 years; national level one or two athletes) at 6 months post-surgery during stable gait testing. A cross-sectional study design was adopted. Surface electromyography signals from eight key muscles of both lower limbs were processed using non-negative matrix factorization to extract muscle synergy structures. The dataset comprehensively documents: (1) basic participant information; (2) K-STARTS functional test results; (3) gait mechanics parameters (gait speed, center of mass mediolateral displacement velocity, and center of pressure mediolateral displacement velocity); and (4) core muscle synergy indicators, including synergy weight matrix (W), activation coefficient matrix (H), number of synergies, muscle contribution weights, time to peak activation, activation level of synergy, proportion of significant activation duration, overall synergy activation level, and co-activation duration. This dataset provides systematic, reproducible, and standardized data support for analyzing bilateral lower limb neuromuscular control differences following anterior cruciate ligament reconstruction, and can be directly applied to symmetry analysis, functional assessment, and individualized rehabilitation research.

Indexed as

Anterior Cruciate Ligament ReconstructionLower ExtremityMuscle, SkeletalAnterior Cruciate LigamentCross-Sectional StudiesElectromyographyFemaleGaitHumansMale

Identifiers

PMID42225679
PMCPMC13522550

What OpenQuestion holds

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Registered trials

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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.