ArticleCureus2025
The Association Between Possible Sarcopenia and Delirium Onset in Older Patients With Acute Stroke.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- The Clinical Impact of Sarcopenia and Delirium in Hospitalized Elderly Patients: An Analysis Using Muscle Ultrasound.Journal of cachexia, sarcopenia and muscle · 2026Article
- Post-stroke sarcopenia as a neuromuscular disorder: a mini review of neural mechanisms and clinical implications.Frontiers in neurology · 2026Review
- Association Between Sarcopenia Measured by Computed Tomography at the Third Lumbar Vertebra and Mortality in Inpatients with Delirium Referred to a Liaison Psychiatry Team: A Follow-Up Study.Journal of clinical medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Delirium is a common and serious complication among older adults hospitalized with acute stroke, and it is associated with increased morbidity, mortality, and prolonged hospital stays. Sarcopenia, characterized by a decline in muscle mass and strength, has emerged as a potential risk factor for delirium. However, there has been scarce research exploring this relationship in stroke populations. This study aimed to investigate the association between possible sarcopenia and the onset of delirium in older patients with acute stroke. Methods We conducted a retrospective cohort study of patients aged 65 years and older admitted to the Stroke Care Unit of a single institution between April 2020 and March 2021. Possible sarcopenia was defined using the AWGS2019 criteria based on grip strength and calf circumference. Delirium was diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria by a certified dementia care team. Clinical characteristics and known delirium risk factors were extracted from medical records. Logistic regression analysis was performed to identify independent predictors of delirium. Results Of the 543 patients screened, 486 were included in the final analysis. Possible sarcopenia was identified in 187 patients (38.4%). Delirium occurred in 46 patients (9.4%), and its incidence was significantly higher in the sarcopenia group (15.0%) than in the non-sarcopenia group (6.0%, p=0.001). Multivariate logistic regression analysis revealed that possible sarcopenia was independently associated with delirium onset [odds ratio (OR): 1.98, 95% confidence interval (CI): 1.01-3.91, p=0.048], second only to a history of delirium. Conclusions Our findings suggest that possible sarcopenia is a significant and independent predictor of delirium in older patients with acute stroke. Early identification of sarcopenia may facilitate targeted interventions to reduce delirium risk and improve clinical outcomes in this vulnerable population.
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.