Evidence map›Paper›PMID 33343777›Full record

ArticleRadiology case reports2021

High-resolution magnetic resonance imaging in isolated, traumatic oculomotor nerve palsy: A case report.

Felix Eisenhut, Stefan T Gerner, Philipp Goelitz, Arnd Doerfler, Frank Seifert

Erratum issuedOpen access · goldAbstract readCase Reports
In one paragraph

Article in Radiology case reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Felix EisenhutDepartment of Neuroradiology and Neurology, University Hospital Erlangen, Schwabachanlage 6, 91054 Erlangen, Germany.
Stefan T GernerDepartment of Neuroradiology and Neurology, University Hospital Erlangen, Schwabachanlage 6, 91054 Erlangen, Germany.
Philipp GoelitzDepartment of Neuroradiology and Neurology, University Hospital Erlangen, Schwabachanlage 6, 91054 Erlangen, Germany.
Arnd DoerflerDepartment of Neuroradiology and Neurology, University Hospital Erlangen, Schwabachanlage 6, 91054 Erlangen, Germany.
Frank SeifertDepartment of Neuroradiology and Neurology, University Hospital Erlangen, Schwabachanlage 6, 91054 Erlangen, Germany.
Universitätsklinikum Erlangen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traumatic, isolated oculomotor nerve palsy is a rare clinical finding and only few reports demonstrate associated magnetic resonance imaging (MRI) findings. Here, we present the case of a 70-year-old woman with left-sided oculomotor nerve palsy following a mild head trauma due to an e-bike accident. Post-traumatic cerebral computed tomography revealed punctiform hemorrhage in the left interpeduncular cistern and the following MRI confirmed an intraneural hemorrhage of the left oculomotor nerve. Nine weeks later, the follow-up MRI showed progressive atrophy and contrast-enhancement of the left oculomotor nerve. To support functional recovery, a treatment with intravenous corticosteroids was started. Six months later, the patient presented with improved oculomotor nerve function and partial recovery of ptosis and diplopia. In accordance, MRI demonstrated recurrent contrast-enhancement of the atrophic nerve. In conclusion, high-resolution MRI allows the reliable delineation of the oculomotor nerve and can support diagnosis in trauma patients with isolated oculomotor nerve palsy.

Indexed as

Case reportMagnetic resonance imagingOculomotor nerveTraumatic nerve palsy

Identifiers

PMID33343777
PMCPMC7736904
OpenAlexW3113151839

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.