Evidence map›Paper›PMID 32678354›Full record

ReviewEye (London, England)2021

Advances and potential new developments in imaging techniques for posterior uveitis. Part 1: noninvasive imaging methods.

Ilknur Tugal-Tutkun, Carl P Herbort, Alessandro Mantovani, Piergiorgio Neri, Moncef Khairallah

Abstract readReview
In one paragraph

Review in Eye (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Sarcoid Uveitis: An Intriguing Challenger.Medicina (Kaunas, Lithuania) · 2022
    Review
  5. Review
  6. Review
  7. Acute posterior multifocal placoid pigment epitheliopathy (APMPPE).Journal of ophthalmic inflammation and infection · 2021
    Review
  8. 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

5 authors.

Ilknur Tugal-TutkunDepartment of Ophthalmology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey. itutkun@yahoo.com.ORCID http://orcid.org/0000-0002-4020-453X
Carl P HerbortRetinal and Inflammatory Eye Diseases, Centre for Ophthalmic Specialized Care (COS), Clinic Montchoisi Teaching Centre, Lausanne, Switzerland. cph@herbortuveitis.ch.
Alessandro MantovaniOphthalmology Unit, Ospedale Valduce, Como, Italy.
Piergiorgio NeriCleveland Clinic Abu Dhabi, Abu Dhabi, UAE.ORCID http://orcid.org/0000-0002-7673-4276
Moncef KhairallahDepartment of Ophthalmology, Fattouma Bourguiba University Hospital, Faculty of Medicine, University of Monastir, Monastir, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this review was to identify the imaging methods at our disposal to optimally manage posterior uveitis at the present time. The focus was put on methods that have become available since the 1990s, some 30 years after fluorescein angiography had revolutionized imaging of posterior uveitis in particular imaging of the retinal vascular structures in the 1960s. We have focussed our review on precise imaging methods that have been standardized and validated and can be used universally thanks to commercially produced and available instruments for the diagnosis and follow-up of posterior uveitis. The first part of this imaging review will deal with noninvasive imaging methods, focusing on fundus autofluorescence and optical coherence tomography as well as recent developments in imaging of the posterior segment.

Indexed as

UveitisUveitis, PosteriorFluorescein AngiographyHumansOptical ImagingRetinal VesselsTomography, Optical Coherence

Identifiers

PMID32678354
PMCPMC7852509

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.