Evidence map›Paper›PMID 41258389›Full record

ArticleNPJ digital medicine2025

Continuous and componentized facial palsy measurement alignment and clinical interpretable model.

Xiudong Guan, Haixin Wang, Dainan Zhang, Chenglong Hou, Shunchang Ma, Jun Zhang, Xiaofeng Sun, Wenke Liu, Meiqing Lou, Yan Qu and 21 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

31 authors.

Xiudong Guan *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Haixin Wang *National Engineering Research Center for Software Engineering, Peking University, Beijing, China.
Dainan Zhang *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Chenglong HouNational Engineering Research Center for Software Engineering, Peking University, Beijing, China.
Shunchang MaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jun ZhangDepartment of Neurosurgery, the First Medical Centre, Chinese PLA General Hospital, Beijing, China.
Xiaofeng SunDepartment of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Wenke LiuDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Meiqing LouDepartment of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yan QuDepartment of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Tianzhi ZhaoDepartment of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Dong ZhongDepartment of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jiayi PengDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Peiliang LiDepartment of Neurosurgery, Ditan Hospital, Capital Medical University, Beijing, China.
Dan XiaoChina National Clinical Research Center for Neurologic Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yuanwen JiangDepartment of Chemical Engineering, Stanford University, CA, USA.
Peng KangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Fei YaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xiaoxue FuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhan XueDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Liangpeng ChenDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ziyang LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Haolin LiNational Engineering Research Center for Software Engineering, Peking University, Beijing, China.
Muzhi YuNational Engineering Research Center for Software Engineering, Peking University, Beijing, China.
Shikun ZhangNational Engineering Research Center for Software Engineering, Peking University, Beijing, China.
Ming NiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Guijun JiaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Kuangyu ShiDepartment of Informatics, Technische Universität München, Munich, Germany.
Jinan SunNational Engineering Research Center for Software Engineering, Peking University, Beijing, China. sjn@pku.edu.cn.
Deling LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. ttyyneuroli@126.com.
Wang JiaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. jwttyy@126.com.

Funding

Beijing Nova Program xx2017017Beijing Talents Foundation, Beijing Municipal Health Commission PXM2019_026280_000002Clinical Scientist Supporting Grant of Beijing Tiantan Hospital YSP201902National Natural Science Foundation of China Projects 81971668
6 · The paper itself

Abstract

Facial palsy, affecting 1 in 60 individuals, requires precise assessment for effective treatment and follow-up. Current grading systems are inconsistent due to redundant subjective factors. Discrete assessment of the whole face fails to address eyelid and mouth movements innervated by separate nerves. Herein, we proposed modified House-Brackmann (H-B) criteria with continuous and componentized measurements for the eyelids and mouth. Using a dataset of 274 patients with vestibular schwannoma (VS), we developed a dense facial landmark alignment model. This model outperformed existing algorithms in facial palsy detection and produced clinically interpretable asymmetric coefficients of eyelids and mouth correlated with consensus H-B grades (r = 0.892 and 0.890, P < 0.001). Thresholds from ROC analysis transformed these coefficients into grades, comparable to consensus H-B grades. Validated in a separate post-VS multi-center cohort, this model showed high accuracy (eyelid Grade 6 not observed; analyses restricted accordingly) and potential for continuous monitoring of facial palsy, offering a more precise and comprehensive assessment tool. Trial Registration Information the Chinese Clinical Trial Registry (ChiCTR1900024638; July 19, 2019).

Identifiers

PMID41258389
PMCPMC12630765

What OpenQuestion holds

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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.