Evidence map›Paper›PMID 38365639›Full record

ArticleBMC public health2024

Risk of fall in patients with chronic kidney disease: results from the China health and retirement longitudinal study (CHARLS).

Pinli Lin, Biyu Wan, Jintao Zhong, Mengya Wang, Fang Tang, Lingzhen Wang, Junjun Guo, Yuling Ye, Xusheng Liu, Lu Peng and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
24.0field-weighted citation impact, top 1% of its field
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

15 citing papers in PubMed, 21 citations in OpenAlex.

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  11. Exosomes applications in kidney diseases.Molecular biology reports · 2025
    Review
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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

11 authors at 3 institutions in 1 country.

Pinli Lin *The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Biyu Wan *School of Nursing, Hunan University of Chinese Medicine, Changsha, China.
Jintao ZhongThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Mengya WangSchool of Nursing, Hunan University of Chinese Medicine, Changsha, China.
Fang TangThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Traditional Chinese Medicine), Guangzhou, China.
Lingzhen WangThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Traditional Chinese Medicine), Guangzhou, China.
Junjun GuoThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Traditional Chinese Medicine), Guangzhou, China.
Yuling YeThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Traditional Chinese Medicine), Guangzhou, China.
Xusheng LiuThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Traditional Chinese Medicine), Guangzhou, China.
Lu PengThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Traditional Chinese Medicine), Guangzhou, China. yuexiangzi@163.com.
Lili DengThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Traditional Chinese Medicine), Guangzhou, China. denglili@gzucm.edu.cn.
Guangzhou University of Chinese Medicine · CNGuangdong Provincial Hospital of Traditional Chinese Medicine · CNHunan University of Traditional Chinese Medicine · CN

Funding

Guangdong Provincial Hospital of Traditional Chinese Medicine No. YN2022HL21Sanming Project of Medicine in Shenzen Municipality No. SZZYSM202206014
6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD), often coexisting with various systemic disorders, may increase the risk of falls. Our study aimed to assess the prevalence and risk of falls among patients with CKD in China.

methodsWe included patients with/without CKD from China Health and Retirement Longitudinal Study (CHARLS). Our primary outcome was the occurrence of fall accidents within the past 2 years. To enhance the robustness of our findings, we employed a multivariable logistic regression model, conducted propensity score analysis, and applied an inverse probability-weighting model.

resultsA total of 12,658 participants were included, the prevalence of fall accident rates were 17.1% (2,028/11,837) among participants without CKD and 24.7% (203/821) among those with CKD. In the inverse probability-weighting model, participants with CKD exhibited higher fall accident rates (OR = 1.28, 95% CI: 1.08-1.53, p = 0.005 ). Sensitivity and subgroup analysis showed the results still stable.

conclusionsThe population in China afflicted with CKD has a significantly heightened risk of experiencing falls, underscoring the crucial importance of intensifying efforts in assessing and preventing fall risks.

Indexed as

Renal Insufficiency, ChronicRetirementAccidental FallsChinaHumansLongitudinal StudiesCHARLSChronic kidney diseaseFalls accidentPSM

Identifiers

PMID38365639
PMCPMC10873935
OpenAlexW4391885200

What OpenQuestion holds

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LicenceCC BY
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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.