Evidence map›Paper›PMID 36188473›Full record

ArticleFrontiers in neuroscience2022

Regional brain atrophy in patients with chronic ankle instability: A voxel-based morphometry study.

Hui-Min Xie, Zhen-Tong Xing, Zhi-Ye Chen, Xiao-Tan Zhang, Xiao-Juan Qiu, Zi-Shan Jia, Li-Ning Zhang, Xin-Guang Yu

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Hui-Min XieMedical School of Chinese PLA, Beijing, China.
Zhen-Tong XingDepartment of Rehabilitation Medicine, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.
Zhi-Ye ChenDepartment of Radiology, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.
Xiao-Tan ZhangMedical School of Chinese PLA, Beijing, China.
Xiao-Juan QiuDepartment of Rehabilitation Medicine, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.
Zi-Shan JiaMedical School of Chinese PLA, Beijing, China.
Li-Ning ZhangMedical School of Chinese PLA, Beijing, China.
Xin-Guang YuMedical School of Chinese PLA, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to investigate whether brain volume changes occur in patients with chronic ankle instability (CAI) using voxel-based morphometry and assessing correlations with clinical tests. Structural magnetic resonance imaging data were prospectively acquired in 24 patients with CAI and 34 healthy controls. CAI symptoms and pain intensity were assessed using the Foot and Ankle Ability Measure (FAAM), Cumberland Ankle Instability Tool (CAIT), American Orthopedic Foot and Ankle Society (AOFAS) ankle-hindfoot score, and visual analog scale (VAS). The gray matter volume (GMV) of each voxel was compared between the two groups while controlling for age, sex, weight, and education level. Correlation analysis was performed to identify associations between abnormal GMV regions and the FAAM score, AOFAS score, VAS score, disease duration, and body mass index. Patients with CAI exhibited reduced GMV in the right precentral and postcentral areas, right parahippocampal area, left thalamus, left parahippocampal area, and left postcentral area compared to that of healthy controls. Furthermore, the right parahippocampal (r = 0.642,

Indexed as

ankle instabilityankle sprainbrain atrophybrain regiongray matter volumeneural plasticityproprioceptionvisual analog scale

Identifiers

PMID36188473
PMCPMC9519998

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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.