Evidence map›Paper›PMID 40859211›Full record

ArticleBMC neurology2025

Risk factors of thoracolumbar fascia injury for patients with Parkinson's disease and construction of a nomogram model.

Yitong Xiong, Chengfang Chen, Luyao Shi, Yiyao Yang, Chenjun Zhai, Tao Jiang, Zhanyun Ren, Lei Shen

Abstract read
In one paragraph

Article in BMC neurology, 2025. 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

8 authors.

Yitong XiongDepartment of neurology, the Yixing People's Hospital, 1588 Road Xincheng, Yixing, Jiangsu, 214200, China.
Chengfang ChenDepartment of neurology, the Yixing People's Hospital, 1588 Road Xincheng, Yixing, Jiangsu, 214200, China.
Luyao ShiDepartment of neurology, the Yixing People's Hospital, 1588 Road Xincheng, Yixing, Jiangsu, 214200, China.
Yiyao YangDepartment of neurology, the Yixing People's Hospital, 1588 Road Xincheng, Yixing, Jiangsu, 214200, China.
Chenjun ZhaiDepartment of orthopaedics, the Yixing People's Hospital, 1588 Road Xincheng, Yixing, Jiangsu, 214200, China.
Tao JiangDepartment of orthopaedics, the Yixing People's Hospital, 1588 Road Xincheng, Yixing, Jiangsu, 214200, China.
Zhanyun RenDepartment of neurology, the Yixing People's Hospital, 1588 Road Xincheng, Yixing, Jiangsu, 214200, China. staff1003@yxph.com.
Lei ShenDepartment of orthopaedics, the Yixing People's Hospital, 1588 Road Xincheng, Yixing, Jiangsu, 214200, China. slxytbien@163.com.

Funding

National Natural Science Foundation of China 82102643National Natural Science Foundation of China 82202716Scientific Research Program of Wuxi Municipal Health Commission Z202417
6 · The paper itself

Abstract

backgroundThoracolumbar fascia injury (TLFI) is common in Parkinson's disease (PD) patients; however, the related risk factors are still controversial, and few studies have focused on clinical prediction models for TLFI. The aim of this study was to investigate the risk factors for TLFI in patients with PD and construct a clinical nomogram prediction model.

methodsThe clinical data of 351 patients with PD from October 2019 to September 2022 were retrospectively analyzed. MRI images were used to evaluate the presence or absence of TLFI. Binary logistic regression analysis was used to determine the independent risk factors for TLFI in patients with PD. The independent predictors were used as predictors to construct a nomogram model, and the predictive efficacy of the model was evaluated by receiver operating characteristic (ROC) curves and calibration curves (CCs). Decision curve analysis (DCA) was used to evaluate the clinical application value of the model.

resultsA higher UPDRS-III score, a lack of regular exercise, sagittal imbalance, sarcopenia and a low level of albumin were independent risk factors for TLFI in patients with PD. The area under the ROC curve was 0.974, and the CC and the ideal curve fit were good; the DCA. results showed that the model had high net benefits within all thresholds and had high clinical application value.

conclusionTLFI is closely related to higher a UPDRS-III score, a lack of daily exercise, sagittal imbalance, sarcopenia, and lower albumin levels in patients with PD. Patients with these factors should pay more attention to TLFI prevention and treatment.

Indexed as

FasciaNomogramsParkinson DiseaseAgedFemaleHumansLumbar VertebraeMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesRisk FactorsSarcopeniaThoracic VertebraeFascia injuryParkinson's diseasePrediction modelRisk factors

Identifiers

PMID40859211
PMCPMC12382154

What OpenQuestion 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 OpenQuestion graph.