ArticleQuantitative imaging in medicine and surgery2025
Diagnostic challenges in emergency stroke: a case series.
Article in Quantitative imaging in medicine and surgery, 2025. 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
Background: Acute ischemic stroke (AIS) is a disease associated with high rates of death and disability. The most effective treatment for AIS is intravenous thrombolysis (IVT) and mechanical thrombectomy (MT). In the acute phase of AIS, the accuracy of diagnosis is crucial for deciding on IVT and MT, but can be complicated by the presence of a large number of stroke mimics (SMs) and stroke chameleons (SCs). In this paper, to improve the identification of true stroke from false stroke at the early stage, we innovatively present a rare case series of SMs and SCs categorized by subject modes. Case Description: We present a series of retrospective cases in the Affiliated Hospital of Guangdong Medical University. All cases presented with acute onset. These nine rare cases highlight SMs and SCs that were classified into three categories: epilepsy, metabolic disorders, and myelopathy. The main diagnoses of these cases included AIS, epilepsy, metabolic disorder, and myelopathy. Due to our timely diagnosis and correct treatment, most patients showed improvement in symptoms during follow-up. Conclusions: These cases can aid in distinguishing AIS from other diseases in the early stages, thereby reducing the rates of misdiagnosis and missed diagnosis, especially in the emergency department. Ultimately, this can prevent patients from undergoing unnecessary examinations and treatments while ensuring they receive timely and proper treatments. However, it is important to note that excessive pursuit of diagnostic accuracy may delay the timely application of IVT and MT for patients.
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.