ArticleBritish journal of neuroscience nursing2022
Diagnostic test accuracy of assessment tools for detecting delirium in patients with acute stroke: commentary of a systematic review.
Article in British journal of neuroscience nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- Association between stress hyperglycemia ratio and post-stroke delirium in critically ill patients with ischemic stroke: an MIMIC-IV database analysis.European journal of medical research · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Delirium is a common presentation after acute stroke. Post-stroke delirium is related to poor recovery, higher rates of mortality, falls, and longer hospital stays. Delirium can lead to challenging behaviour such as anger, aggression, and confusion. As such, it is important to identify delirium promptly for early management and to reduce the negative impact on post-stroke recovery and outcomes. An important aspect of identifying delirium depends on the use of efficient, easy to use and validated assessment tools. A wide range of tools are available, although it is not known how accurately they can identify post-stroke delirium. This article critically appraises a systematic review which identified delirium screening tools for patients with acute stroke, and summarised their accuracy.
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Registered trials
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