Evidence map›Paper›PMID 42045519›Full record

ArticleScientific reports2026

A neurological prognostic nomogram integrating biomarkers and clinical indicators for surgically treated patients with osteoporotic spinal fracture and spinal cord injury.

Yi Zhang, Jianguo Zhou, Bin Yang, Yuping Tao, Shuhua Huang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yi ZhangNorthern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225000, China.
Jianguo ZhouEmergency medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Bin YangNorthern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225000, China.
Yuping TaoNorthern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225000, China. 18051062060@163.com.
Shuhua HuangNorthern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225000, China. 18051061209@163.com.

Funding

Yangzhou science and technology plan YZ2022070
6 · The paper itself

Abstract

To construct and validate a prediction model of neurological rehabilitation for patients with osteoporotic spinal fracture combined with spinal cord injury based on the expression of serum neurotrophic factor (Neuritin) and transforming growth factor β1 (TGF-β1 ), so as to provide basis for accurate clinical rehabilitation. A total of 189 patients with osteoporotic spinal fracture combined with spinal cord injury who were admitted to our hospital from January 2022 to September 2024 were included in the study. A random 7:3 score was used as the training set (n = 132) and validation set (n = 57). In the training set, independent influencing factors were screened by univariate and multivariate Logistic regression analysis, and a Nomogram model was constructed. The model performance was evaluated by using the consistency index (C-index), calibration curve, and receiver operating characteristic curve (ROC), and was verified in the validation set. There was no significant difference in baseline data between the training set and the validation set (P > 0.05). Multivariate logistic analysis showed that serum Neuritin (ng/mL, OR = 1.285), TGF-β1 (ng/mL, OR = 0.979), vertebral compression degree (%) (OR = 0.960), spinal canal space-occupying rate (%) (OR = 0.879), 25-hydroxyvitamin D (ng/mL, OR = 1.103), and alkaline phosphatase (U/L, OR = 0.973) were the independent factors for poor neurological rehabilitation (all P < 0.05). The C-index for the nomogram model was 0.842 and 0.821 in the training and validation sets, respectively, the calibration curve fitted well, and the area under the ROC curve (AUC) was 0.850 (95% CI: 0.75–0.95) and 0.826 (95% CI: 0.65-1.00), respectively. The Nomogram model constructed based on serum levels of Neuritin and TGF-β1 can effectively predict the neurological rehabilitation effects of patients with osteoporotic spinal fracture combined with spinal cord injury, and has potential clinical application value.

Indexed as

NomogramsOsteoporotic FracturesSpinal Cord InjuriesSpinal FracturesAgedBiomarkersFemaleHumansMaleMiddle AgedPrognosisROC CurveTransforming Growth Factor beta1BiomarkersTransforming Growth Factor beta1NeuritinNeurological rehabilitationOsteoporotic spinal fracturePrediction modelsSpinal cord injuryTGF-β1

Identifiers

PMID42045519
PMCPMC13287607

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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.