Evidence map›Paper›PMID 38915347›Full record

ArticleFrontiers in aging neuroscience2024

Risk factors for falls in Parkinson's disease: a cross-sectional observational and Mendelian randomization study.

Yifan Zhang, Yuehui Zhang, Yuexin Yan, Xiangxu Kong, Shengyuan Su

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Effects of a gait training program with the FisiorBMC complementary medicine and therapies · 2026
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  4. 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

5 authors.

Yifan ZhangDepartment of Intensive Care Medicine, ShenzhenBaoan People's Hospital, Shenzhen, China.
Yuehui ZhangDepartment of Intensive Care Medicine, ShenzhenBaoan People's Hospital, Shenzhen, China.
Yuexin YanDepartment of Intensive Care Medicine, ShenzhenBaoan People's Hospital, Shenzhen, China.
Xiangxu KongDepartment of Intensive Care Medicine, ShenzhenBaoan People's Hospital, Shenzhen, China.
Shengyuan SuDepartment of Intensive Care Medicine, ShenzhenBaoan People's Hospital, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with Parkinson's disease (PD) exhibit a heightened risk of falls and related fractures compared to the general population. This study aims to assess the clinical characteristics associated with falls in the patient with PD and to gain further insight into these factors through Mendelian randomization analysis. Methods: From January 2013 to December 2023, we included 591 patients diagnosed with Parkinson's disease at Shenzhen Baoan People's Hospital. Using univariate and multivariate logistic regression analyses, we identified clinical variables associated with falls. We constructed a nomogram based on these variables and evaluated the predictive efficacy of the model. Additionally, we employed summary statistics from genome-wide association studies to conduct two-sample Mendelian randomization (MR) analyses on key variables influencing falls. Results: Compared to the control group, we identified osteoporosis, motor dysfunction, higher Hoehn and Yahr scale as significant risk factors for falls in PD patients. Conversely, treatment with levodopa and a higher level of education exhibited a protective effect against the risk of falling. MR analysis further confirmed a causal relationship between osteoporosis, education level and falls in PD patients. Conclusion: Osteoporosis and educational attainment are correlated with falls in Parkinson's disease.

Indexed as

clinical predictionfallsMendelian randomizationosteoporosisParkinson's disease

Identifiers

PMID38915347
PMCPMC11194421

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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.