Evidence map›Paper›PMID 27697802›Full record

ArticleClinical medicine (London, England)2016

Stroke mimic diagnoses presenting to a hyperacute stroke unit.

Ang Dawson, Geoffrey C Cloud, Anthony C Pereira, Barry J Moynihan

Open access · diamondAbstract read
In one paragraph

Article in Clinical medicine (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 44 citations in OpenAlex.

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  14. Stroke mimic diagnoses presenting to a hyperacute stroke unit.Clinical medicine (London, England) · 2017
    Article
  15. Stroke mimic diagnoses presenting to a hyperacute stroke unit.Clinical medicine (London, England) · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ang DawsonSt. George's University Hospitals NHS Foundation Trust, London, UK.
Geoffrey C CloudSt. George's University Hospitals NHS Foundation Trust, London, UK.
Anthony C PereiraSt. George's University Hospitals NHS Foundation Trust, London, UK anthony.pereira@stgeorges.nhs.uk.
Barry J MoynihanSt. George's University Hospitals NHS Foundation Trust, London, UK anthony.pereira@stgeorges.nhs.uk.
St George’s University Hospitals NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke services have been centralised in several countries in recent years. Diagnosing acute stroke is challenging and a high proportion of patients admitted to stroke units are diagnosed as a non-stroke condition (stroke mimics). This study aims to describe the stroke mimic patient group, including their impact on stroke services. We analysed routine clinical data from 2,305 consecutive admissions to a stroke unit at St George's Hospital, London. Mimic groupings were derived from 335 individual codes into 17 groupings. From 2,305 admissions, 555 stroke mimic diagnoses were identified (24.2%) and 72% of stroke mimics had at least one stroke risk factor. Common mimic diagnoses were headache, seizure and syncope. Medically unexplained symptoms and decompensation of underlying conditions were also common. Median length of stay was 1 day; a diagnosis of dementia (p=0.028) or needing MRI (p=0.006) was associated with a longer stay. Despite emergency department assessment by specialist clinicians and computed tomography brain, one in four suspected stroke patients admitted to hospital had a non-stroke diagnosis. Stroke mimics represent a heterogeneous patient group with significant impacts on stroke services. Co-location of stroke and acute neurology services may offer advantages where service reorganisation is being considered.

Indexed as

AdultAgedAged, 80 and overDiagnosis, DifferentialEmergency Service, HospitalFemaleHumansLondonMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesRisk FactorsStrokeDiagnosismimicMRIpatient journeyrisk factorsservicestrokestroke mimic

Identifiers

PMID27697802
PMCPMC6297311
OpenAlexW2527797123

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.