Observational studyMedicine2026
Early clinical indicators for predicting discharge destination from the acute stroke ward: A retrospective observational study.
Observational study in Medicine, 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In Japan, the length of stay in acute care hospitals has decreased, resulting in earlier discharge of stroke patients after life-saving treatment. This trend limits opportunities for patients to practice activities of daily living and for clinicians to prepare appropriate discharge plans. Early prediction of discharge destination is therefore essential to support timely rehabilitation and discharge management. This study aimed to develop a decision tree model to predict discharge destination using data obtained within 3 days of hospitalization. A retrospective observational study was conducted on 150 acute stroke patients. Clinical and demographic characteristics, medical history, cognitive status, National Institutes of Health Stroke Scale (NIHSS), Brunnstrom recovery stage, and motor- and cognitive-functional independence measure (M-FIM, C-FIM) scores were collected. Participants were randomly divided into training (n = 106) and test (n = 44) datasets. Ninety-one patients were discharged home and 59 to other facilities. NIHSS, M-FIM, and C-FIM were identified as key predictors. Patients with NIHSS ≤ 3.5, or with NIHSS > 6.5 combined with M-FIM > 23.5 and C-FIM > 29.5, had a 100% probability of home discharge, whereas those with NIHSS > 6.5 and M-FIM ≤ 23.5 had only a 14.7% chance. The model achieved 86.4% accuracy, with sensitivity of 91.7% and specificity of 80.0%. These findings suggest that combining early neurological and functional assessments provides a reliable basis for anticipating discharge outcomes, thereby aiding rehabilitation planning and effective patient management in acute stroke care.
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.