Evidence map›Paper›PMID 29374642›Full record

ArticleBMJ case reports2018

Hemiparesis in spontaneous spinal epidural haematoma: a potential stroke imitator.

Ravish Patel, Aravind Kumar, Kazuya Nishizawa, Naresh Kumar

Open access · greenAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

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  6. Cervical epidural hematoma: a case series highlighting uncommon causes.International journal of emergency medicine · 2024
    Article
  7. A man with right-sided weakness.Journal of the American College of Emergency Physicians open · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Ravish PatelOrthopaedic Surgery, National University Hospital, Singapore, Singapore.
Aravind KumarOrthopaedic Surgery, Khoo Teck Puat Hospital, Yishun, Singapore.
Kazuya NishizawaOrthopaedic Surgery, National University Hospital, Singapore, Singapore.
Naresh KumarOrthopaedic Surgery, National University Hospital, Singapore, Singapore.ORCID http://orcid.org/0000-0003-4538-5031
National University Hospital · SGKhoo Teck Puat Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spontaneous spinal epidural haematoma (SSEH) is a rare condition that requires urgent surgical intervention in order to prevent permanent neurological deficit. SSEH commonly presents as a paraparesis or tetraparesis. SSEH presenting as a hemiparesis is less common and in such situations, it can be mistaken for a cerebrovascular accident (CVA). Thrombolytic or anticoagulant treatment for CVA can potentially worsen the neurological deficit. We report one such case of SSEH misdiagnosed as a CVA. Treatment with tissue plasminogen activator led to worsening of his condition. On a subsequent cervical spine MRI, an epidural haematoma extending from C3 to C5 was detected and treated with laminectomy and evacuation. Surgical intervention led to significant improvement from American Spinal Injury Association Scale (ASIA) B to ASIA E. Presence of clinical features such as Horner's syndrome, Brown-Sequard syndrome and the absence of cranial nerve palsies in acute hemiparesis are indicative of SSEH rather than CVA.

Indexed as

Cervical VertebraeDiagnostic ErrorsHematoma, Epidural, SpinalHumansLaminectomyMagnetic Resonance ImagingMaleMiddle AgedNeck PainParesisStrokeneurosurgeryorthopaedic and trauma surgeryspinal cordstrokewarfarin therapy

Identifiers

PMID29374642
PMCPMC5786944
OpenAlexW2785023206

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.