ArticleJapanese journal of comprehensive rehabilitation science2026
Prediction Models for Gait Independence in Patients with Post-Stroke Hemiplegia in a Convalescent Rehabilitation Ward: Comparison of Predictive Performance Between Different Trunk Function Assessments.
Article in Japanese journal of comprehensive rehabilitation science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Murakami M, Sato R, Ogasawara K, Kimura Y. Prediction Models for Gait Independence in Patients with Post-Stroke Hemiplegia in a Convalescent Rehabilitation Ward: Comparison of Predictive Performance Between Different Trunk Function Assessments. Jpn J Compr Rehabil Sci 2026; 17: 24-32. Objective: This study aimed to compare the predictive performance for walking independence at discharge using two trunk function assessments: the Functional Assessment for Control of Trunk (FACT) and the Trunk Control Test (TCT), alongside activities of daily living (ADL) ability and physical function at admission, in patients with post-stroke hemiplegia admitted to a convalescent rehabilitation ward. Methods: A cohort of 196 patients with post-stroke hemiplegia admitted to a convalescent rehabilitation ward between October 2020 and March 2024 was retrospectively analyzed. Patients achieving a walking score of 6 or higher on the Functional Independence Measure (FIM) at discharge were classified as the walking-independent group. Independent variables included motor FIM (m-FIM), cognitive FIM (c-FIM), paretic lower-extremity function on the Stroke Impairment Assessment Set (SIAS), Ueda's 12-Grade Hemiplegic Function Test, non-paretic-side SIAS function, age, sex, and either FACT or TCT. Decision-tree analysis served as the primary analytical method, with logistic regression and receiver operating characteristic (ROC) curve analyses conducted as supplementary approaches to examine discriminative performance. Results: The cohort included 102 men and 94 women, with a mean age of 77.7 ± 11.2 years. The walking-independent group comprised 47 patients (24.0%). Decision-tree analyses indicated that both the FACT and TCT models identified m-FIM and non-paretic-side SIAS function as predictive factors. Additionally, FACT and TCT were each selected as predictive factors in their respective models. ROC analysis demonstrated high discriminative ability for both models (FACT model: area under the curve [AUC] = 0.968; TCT model: AUC = 0.971). Conclusion: Both models utilizing FACT or TCT as trunk function assessments demonstrated high predictive accuracy, suggesting their potential utility for prognostic prediction in clinical practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.