Evidence map›Paper›PMID 39939897›Full record

ArticleAnnals of rehabilitation medicine2025

Associations Between Stroke Outcome Assessments and Automated Tractography Fractional Anisotropy Incorporating Age.

Midori Mochizuki, Yuki Uchiyama, Kazuhisa Domen, Tetsuo Koyama

Abstract read
In one paragraph

Article in Annals of rehabilitation medicine, 2025. 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
–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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Midori MochizukiDepartment of Rehabilitation Medicine, Nishinomiya Kyoritsu Neurosurgical Hospital, Nishinomiya, Japan.
Yuki UchiyamaDepartment of Rehabilitation Medicine, School of Medicine, Hyogo Medical University, Nishinomiya, Japan.
Kazuhisa DomenDepartment of Rehabilitation Medicine, School of Medicine, Hyogo Medical University, Nishinomiya, Japan.
Tetsuo KoyamaDepartment of Rehabilitation Medicine, Nishinomiya Kyoritsu Neurosurgical Hospital, Nishinomiya, Japan.

Funding

Japan Society for the Promotion of Science JP22K11356
6 · The paper itself

Abstract

objectiveTo evaluate the association between outcomes, including affected extremity functions and activities of daily living (ADL), and fractional anisotropy (FA) derived from automated tractography incorporating age among patients after stroke.

methodsThis study enrolled stroke patients, and diffusion-tensor imaging was conducted during the second week. Standardized automated tractography was utilized to compute FA values in the corticospinal tract (CST), the inferior fronto-occipital fasciculus (IFOF), and the superior longitudinal fasciculus (SLF). Outcome evaluations were performed at discharge from our affiliated rehabilitation facility. Extremity functions were assessed using the total scores of the motor component of the Stroke Impairment Assessment Set (SIAS-motor). Independence levels in ADL were appraised through the motor and cognition components of the Functional Independence Measure (FIM). For each outcome measure, multivariate regression analysis incorporated the FA values of the CST, the IFOF, and the SLF, along with age.

resultsForty-two patients were enrolled in the final analytical database. Among the four explanatory variables, the CST emerged as the most influential factor for SIAS-motor scores. Conversely, age proved to be the primary determinant for both the motor and cognition components of FIM, surpassing the impact of FA metrics, including the CST and the IFOF.

conclusionThe key influencing factors exhibited significant variations based on the targeted outcome assessments. Clinicians should be aware of these differences when utilizing neuroimaging techniques to predict stroke outcomes.

Indexed as

NeuroimagingPrognosisRecovery of functionWhite-matter

Identifiers

PMID39939897
PMCPMC11895057

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