ArticleFrontiers in neurology2026
Trajectories of post-stroke fatigue and its influencing factors in young and middle-aged patients with intracerebral hemorrhage.
Article in Frontiers in neurology, 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To explore the developmental trajectories of post-stroke fatigue and its influencing factors in young and middle-aged patients with intracerebral hemorrhage, and to provide theoretical basis for precise clinical nursing interventions. Methods: A convenience sampling method was used to enroll 218 young and middle-aged patients with intracerebral hemorrhage who were admitted to the Emergency Intensive Care Unit (EICU) between July 2022 and July 2024. Assessments were conducted at four time points: within 24 h after neurological stabilization during the acute phase (T1), and at 1 month (T2), 6 months (T3), and 12 months (T4) post-discharge. The Fatigue Severity Scale (FSS), Connor-Davidson Resilience Scale (CD-RISC), Medical Outcomes Study Social Support Survey (MOS-SSS), and Fear of Progression Questionnaire-Short Form (FoP-Q-SF) were administered. Latent class growth modeling (LCGM) was used to identify the developmental trajectories of fatigue based on the 218 enrolled participants with Full Information Maximum Likelihood handling of missing data, and multinomial logistic regression was applied to analyze the influencing factors of trajectory group membership among the 180 participants who completed all four assessments. Results: (1) Three heterogeneous developmental trajectories of post-stroke fatigue were identified in young and middle-aged patients with intracerebral hemorrhage: low-level stable fatigue group (30.6%), moderate-level slowly resolving group (43.3%), and high-level persistent fatigue group (26.1%). (2) Multinomial logistic regression analysis showed that, using the low-level stable fatigue group as the reference, increasing age (OR = 1.085, Conclusion: There are three heterogeneous developmental trajectories of post-stroke fatigue in young and middle-aged patients with intracerebral hemorrhage. Although fatigue levels in most patients showed a resolving trend over time, approximately one-quarter of patients still exhibited persistent high-level fatigue. Healthcare providers should implement stratified and dynamic precision interventions based on different trajectory characteristics, with particular attention to patients who are older, have multiple comorbidities, severe neurological deficits, and high levels of fear of disease progression, while also considering patients' psychological resilience and social support during rehabilitation planning to promote effective fatigue relief.
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.