Evidence map›Paper›PMID 42523569›Full record

ArticleFrontiers in neurology

Development and validation of a nomogram for predicting recurrence in patients with Meige syndrome after radiofrequency ablation.

Xiang Xu, Tao Wang, Zi Wang

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In one paragraph

Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xiang XuDepartment of Anesthesiology and Pain Medicine, Huzhou Wuxing District People's Hospital, Huzhou Wuxing District Maternal and Child Health Hospital, Huzhou, China.
Tao WangDepartment of Anesthesiology and Pain Research Center, The Affiliated Hospital of Jiaxing University, Jiaxing, China.
Zi WangDepartment of Anesthesiology and Pain Research Center, The Affiliated Hospital of Jiaxing University, Jiaxing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Radiofrequency ablation targeting the extracranial facial nerve has emerged as an effective therapeutic option for patients with Meige syndrome (MS) presenting predominantly with blepharospasm. However, postoperative recurrence remains a major clinical challenge. This study aimed to develop and internally validate a nomogram for predicting 1-year recurrence after CT-guided facial nerve radiofrequency ablation via bilateral stylomastoid foramen. Methods: This study retrospectively analyzed 119 patients with MS who underwent CT-guided facial nerve radiofrequency ablation via bilateral stylomastoid foramen at the Pain Department of Jiaxing University Affiliated Hospital between November 2021 and December 2024. The Lasso regression and multivariate logistic regression analysis were employed to identify independent factors associated with postoperative recurrence. A nomogram was constructed based on these factors and internally validated using the bootstrap resampling method. Results: Our analysis indicates that independent factors influencing recurrence are the Jankovic Rating score (JRS),disease duration, and final temperature. A nomogram was constructed based on these predictors. The area under the ROC curve (AUC) for the nomogram was 0.932 (95% CI: 0.912-0.958). Calibration curves demonstrated excellent agreement between predicted probabilities and actual observed values. Decision curve analysis (DCA) indicated that the nomogram predictive model had a higher net benefit for predicting the risk of postoperative recurrence in MS patients. Conclusion: This study constructed a static and dynamic online nomogram with excellent differentiation, calibration, and accuracy, aiding in the identification of high-risk postoperative patients and assisting physicians in decision-making.

Indexed as

Meige syndromenomogramprediction modelradiofrequency ablationrisk factors

Identifiers

PMID42523569
PMCPMC13407107

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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.