Evidence map›Paper›PMID 37291395›Full record

ArticleJournal of neurology2023

Analysis and hierarchical clustering of infratentorial morphological MRI identifies SCAs phenogroups.

Jing Zhao, Wenting Zeng, Xiaolong Huang, Manshi Hu, Kang Yuan, Chao Wu, Haishan Qiu, Jianping Chu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 47% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

8 authors at 2 institutions in 1 country.

Jing Zhao *Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, 518000, Guangdong, China.
Wenting Zeng *Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, 518000, Guangdong, China.
Xiaolong Huang *Intensive Care Unit, The First Affiliated Hospital of Xiamen University, Xiamen, 361001, Fujian, China.
Manshi HuDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, 518000, Guangdong, China.
Kang YuanSun Yat-Sen University, Guangzhou, 518000, Guangdong, China.
Chao Wu *Department of Neurology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, 518000, China. wuch35@mail.sysu.edu.cn.
Haishan Qiu *Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, 518000, Guangdong, China. qiuhsh3@mail.sysu.edu.cn.
Jianping Chu *Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, 518000, Guangdong, China. chujping@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-5483-2169
Sun Yat-sen University · CNFirst Affiliated Hospital of Xiamen University · CN

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2021A1515012279Basic and Applied Basic Research Foundation of Guangdong Province 2022A1515011264National Natural Science Foundation of China 82172015National Natural Science Foundation of China 82202217Science and Technology Program of Guangzhou,China 202201011228Science and Technology Program of Guangzhou,China 202201011244
6 · The paper itself

Abstract

backgroundClinical decision-making in spinocerebellar ataxia spectrum diseases (SCAs) has mainly been based on genetic tests, not considering the SCAs' imaging and clinical heterogenicity.

objectiveTo identify SCAs phenogroups by analysis and hierarchical clustering of infratentorial morphological MRI for unveiling pathophysiological differences among common SCA subtypes.

methodsWe prospectively enrolled 119 (62 women; mean age 37 years) genetically diagnosed SCAs (SCA1 n = 21, SCA2 n = 10, symptomatic SCA3 n = 59, presymptomatic SCA3 n = 22, SCA6 n = 7) and 35 healthy controls (HCs). All patients underwent MRI and detailed neurological and neuropsychology examinations. The width of each cerebellar peduncle (CP) and anteroposterior diameter of the spinal cord and pontine were measured. Twenty-five SCAs patients (15 women; mean age 35 years) were followed for at least a year (17 (15, 24) months), whose MRI and the Scale for the Assessment and Rating of Ataxia (SARA) were collected.

resultsInfratentorial morphological MRI measurements could significantly discriminate SCAs from HCs, even among SCA subtypes. Two mutually exclusive and clinically distinct phenogroups were identified. Despite similar (CAG)

conclusionSCAs were with significant infratentorial brain atrophy than HCs. We identified two different SCAs phenogroups associated with substantial differences in infratentorial brain atrophy, clinical presentation, and may reflect the underlying molecular profiles to some extent, paving the way for a more personalized diagnostic and treatment approach.

Indexed as

Spinocerebellar AtaxiasSpinocerebellar DegenerationsAdultAtrophyCerebellumCluster AnalysisFemaleHumansMagnetic Resonance ImagingClusterMRI morphometric measurementScale for the Assessment and Rating of AtaxiaSpinocerebellar ataxias

Identifiers

PMID37291395
OpenAlexW4379793450

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.