Evidence map›Paper›PMID 26744445›Full record

ReviewAJNR. American journal of neuroradiology2016

Distinguishing Neuroimaging Features in Patients Presenting with Visual Hallucinations.

T T Winton-Brown, A Ting, R Mocellin, M Walterfang, D Velakoulis, F Gaillard

Erratum issuedOpen access · hybridAbstract readReview
In one paragraph

Review in AJNR. American journal of neuroradiology, 2016. 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. AJNR. American journal of neuroradiology · 2016
    Article
  7. Moving Past Anti-VEGF: Novel Therapies for Treating Diabetic Retinopathy.International journal of molecular sciences · 2016
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

T T Winton-BrownFrom the Departments of Neuropsychiatry (T.T.W.-B., R.M., D.V.).ORCID 0000-0001-8940-7816
A TingRadiology (A.T., F.G.), Royal Melbourne Hospital, Parkville, Victoria, Australia.ORCID 0000-0002-6308-4745
R MocellinFrom the Departments of Neuropsychiatry (T.T.W.-B., R.M., D.V.).ORCID 0000-0003-3594-4733
M Walterfang
D VelakoulisFrom the Departments of Neuropsychiatry (T.T.W.-B., R.M., D.V.) Melbourne Neuropsychiatry Centre (D.V.), National Neuroscience Facility, Carlton, Victoria, Australia.ORCID 0000-0002-8842-8479
F GaillardRadiology (A.T., F.G.), Royal Melbourne Hospital, Parkville, Victoria, Australia Frank.gaillard@gmail.com.ORCID 0000-0002-2382-872X
The Royal Melbourne Hospital · AU

Funding

Wellcome Trust
6 · The paper itself

Abstract

Visual hallucinations are relatively uncommon presentations in medical and psychiatric clinics, where they are generally regarded as a marker of possible underlying "organic" brain disease. Thus, patients with visual hallucinations are often referred for imaging of the brain. This article presents a pragmatic approach for the radiologist reviewing such imaging. Because conditions that can present with visual hallucinations are legion, a familiarity with the features of the hallucinations themselves, which can serve as clues to the underlying cause, can be helpful in interpreting such cases. We consider the nature of visual hallucinations and the mechanisms underlying their formation. We then provide a framework to guide the search for their cause, first in terms of focal lesions along the visual pathway and then global conditions affecting >1 region.

Indexed as

BrainBrain DiseasesFemaleHallucinationsHumansMaleNeuroimagingVisual Pathways

Identifiers

PMID26744445
PMCPMC7960303
OpenAlexW2308791691

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.