Evidence map›Paper›PMID 39170243›Full record

ArticleHeliyon2024

Quantitative gait markers and the TUG time in chronic kidney disease.

Xin Zhang, Hao Wang, Heyang Lu, Min Fan, Weizhong Tian, Yingzhe Wang, Mei Cui, Yanfeng Jiang, Chen Suo, Tiejun Zhang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. 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
–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

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

13 authors.

Xin ZhangSchool of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
Hao WangSchool of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
Heyang LuDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Min FanTaixing Disease Control and Prevention Center, Taizhou, Jiangsu, China.
Weizhong TianTaizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China.
Yingzhe WangFudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
Mei CuiFudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
Yanfeng JiangFudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
Chen SuoSchool of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
Tiejun ZhangSchool of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
Li JinFudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
Kelin XuSchool of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
Xingdong ChenFudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Poor gait performance results in more fall incidents among people with chronic kidney disease (CKD). It is unknown what specific quantitative gait markers contribute to high fall risk in CKD and the size of their mediation effects. Methods: We included 634 participants from the Taizhou Imaging Study who had complete gait and laboratory data. Quantitative gait assessment was conducted with a wearable insole-like device. Factor analysis was utilized to summarize fifteen highly correlated individual parameters into five independent gait domains. Prevalent CKD was defined as an estimated glomerular filtration rate (eGFR) < 60 ml/min per 1.73 m Results: Participants with prevalent CKD had a higher TUG time (odds ratio = 2.02, Conclusion: Poor phase-related gait abnormalities mediated the relationship between CKD and a high TUG time, suggesting that incorporating quantitative gait markers in specific domains may improve fall prevention programs for individuals with CKD.

Indexed as

Chronic kidney diseaseFallGaitMediation analysis

Identifiers

PMID39170243
PMCPMC11336600

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.