Evidence map›Paper›PMID 30516641›Full record

ReviewCurrent opinion in neurology2019

Diagnostic error and neuro-ophthalmology.

Leanne Stunkel, Nancy J Newman, Valérie Biousse

Abstract readReview
In one paragraph

Review in Current opinion in neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Diagnostic Error in Neuro-ophthalmology: Avenues to Improve.Current neurology and neuroscience reports · 2022
    Review
  5. Bilateral calcification of the optic nerve sheath: A diagnostic dilemma.American journal of ophthalmology case reports · 2021
    Article
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

3 authors.

Leanne StunkelDepartment of Ophthalmology.
Nancy J NewmanDepartment of Ophthalmology.
Valérie BiousseDepartment of Ophthalmology.

Funding

P30-Core Grant for Vision Research Core CP30EY006360 · NEI · EMORY UNIVERSITY · PI BOATRIGHT, JEFFREY H · 1986 to 2025
$15.3M
Ocular Fundus Abnormalities for Acute Risk Stratification in TIA and Minor StrokeR01NS089694 · NINDS · EMORY UNIVERSITY · PI NEWMAN, NANCY J · 2014 to 2018
$1.6M
NEI NIH HHS P30 EY006360NINDS NIH HHS R01 NS089694
6 · The paper itself

Abstract

purpose of reviewThis review summarizes the recent literature on diagnostic error relevant to the practice of neuro-ophthalmology, and evaluates the potential for increased access to neuro-ophthalmology to decrease rates of diagnostic error, thereby reducing medical harm and spending on unnecessary tests and treatments. RECENT

findingsDespite medical advances, current research continues to show alarmingly high rates of diagnostic error. Research into diagnostic error shows that many of these errors can be traced to cognitive errors. Recent studies on diagnostic problems relevant to neuro-ophthalmology, including studies of misdiagnosis of posterior communicating artery aneurysms, idiopathic intracranial hypertension, optic neuritis, and optic nerve sheath meningiomas, have identified major causes of diagnostic error in these conditions. SUMMARY: Studies on diagnostic error in neuro-ophthalmologic conditions show that prior to evaluation by a neuro-ophthalmologist, patients may undergo unnecessary tests and treatments that are costly and potentially harmful. Further research on diagnostic error will inform better utilization of neuro-ophthalmologists as a resource to decrease diagnostic error.

Indexed as

NeurologyOphthalmologyDiagnostic ErrorsHumansIntracranial AneurysmMeningiomaOptic Nerve NeoplasmsOptic NeuritisPseudotumor Cerebri

Identifiers

PMID30516641
PMCPMC6310060

What OpenQuestion holds

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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.