Evidence map›Paper›PMID 31879568›Full record

ArticleTranslational vision science & technology2019

Functional Relevance and Structural Correlates of Near Infrared and Short Wavelength Fundus Autofluorescence Imaging in

Philipp L Müller, Johannes Birtel, Philipp Herrmann, Frank G Holz, Peter Charbel Issa, Martin Gliem

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 36 citations in OpenAlex.

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  10. Stargardt disease: Multimodal imaging: A review.Clinical & experimental ophthalmology · 2021
    Review
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  15. Gene Therapy forDrug design, development and therapy · 2021
    Article
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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

6 authors at 3 institutions in 2 countries.

Philipp L MüllerUniversity of Bonn, Department of Ophthalmology, Bonn, Germany.
Johannes BirtelUniversity of Bonn, Department of Ophthalmology, Bonn, Germany.
Philipp HerrmannUniversity of Bonn, Department of Ophthalmology, Bonn, Germany.
Frank G HolzUniversity of Bonn, Department of Ophthalmology, Bonn, Germany.
Peter Charbel IssaOxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Martin GliemUniversity of Bonn, Department of Ophthalmology, Bonn, Germany.
University of Bonn · DEOxford University Hospitals NHS Trust · GBUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the functional relevance and structural correlates of autofluorescence (AF) alterations under short-wavelength (SW) and near-infrared (NIR) excitation light in

methodsIn this prospective, cross-sectional case series, 88 eyes of 44 patients with

resultsA centrifugal sequence of AF patterns from atrophic lesions to homogeneous background was found for both AF modalities. The eccentricity of each AF pattern in NIR-AF was larger compared to those in SW-AF (

conclusionsSW-AF and NIR-AF revealed a characteristic sequence of AF patterns that correlated with functional and structural alterations, suggesting different stages in disease progression. TRANSLATIONAL RELEVANCE: Alterations in NIR-AF exceeded those in SW-AF images, substantiating the hypothesis of different AF origins and suggesting NIR-AF as surrogate marker for early disease-related changes.

Indexed as

microperimetryoptical coherence tomographyretinaStargardt diseasestructure–function correlation

Identifiers

PMID31879568
PMCPMC6927733
OpenAlexW2994956730

What OpenQuestion holds

Textmetadata
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.