Evidence map›Paper›PMID 31070670›Full record

ArticleInvestigative ophthalmology & visual science2019

Multimodal Imaging in Best Vitelliform Macular Dystrophy.

Jose Ronaldo Lima de Carvalho, Maarjaliis Paavo, Lijuan Chen, John Chiang, Stephen H Tsang, Janet R Sparrow

Open access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 34 citations in OpenAlex.

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  18. Cellular Changes in Retinas From Patients WithFrontiers in cell and developmental biology · 2020
    Article
  19. Lessons learned from quantitative fundus autofluorescence.Progress in retinal and eye research · 2020
    Review
  20. 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

6 authors at 3 institutions in 3 countries.

Jose Ronaldo Lima de CarvalhoDepartment of Ophthalmology, Harkness Eye Institute, Columbia University, New York, New York, United States.
Maarjaliis PaavoDepartment of Ophthalmology, Harkness Eye Institute, Columbia University, New York, New York, United States.
Lijuan ChenDepartment of Ophthalmology, Harkness Eye Institute, Columbia University, New York, New York, United States.
John ChiangDepartment of Ophthalmology, Oregon Health and Science University, Portland, Oregon, United States.
Stephen H TsangDepartment of Ophthalmology, Harkness Eye Institute, Columbia University, New York, New York, United States.
Janet R SparrowDepartment of Ophthalmology, Harkness Eye Institute, Columbia University, New York, New York, United States.
Columbia University · USCentral Hospital of Putuo District · CNOregon Health & Science University · US

Funding

Instrumentation, Fabrication, and Design CoreP30EY019007 · NEI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Xin Zhang · 2010 to 2026
$12.9M
Quantitative Fundus Autofluorescence in Retinal DisordersR01EY024091 · NEI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SPARROW, JANET RUTHE · 2014 to 2022
$3.4M
NEI NIH HHS P30 EY019007NEI NIH HHS R01 EY024091
6 · The paper itself

Abstract

Purpose: In patients diagnosed with Best vitelliform macular dystrophy (BVMD), quantitative fundus autofluorescence (qAF), near-infrared fundus autofluorescence (NIR-AF), and spectral-domain optical coherence tomography (SD-OCT) were used to elucidate pathogenic mechanisms. Methods: Fourteen patients heterozygous for BEST1 mutations were recruited. qAF was analyzed using short-wavelength fundus autofluorescence (SW-AF) images. Mean gray levels (GL) were determined in nonlesion areas (7 to 9° eccentricity) and adjusted by GL measured in an internal fluorescent reference. NIR-AF images (787 nm; sensitivity of 96) were captured and saved in non-normalized mode. Horizontal SD-OCT images also were acquired and BVMD was staged according to the OCT findings. Results: In the pre-vitelliform stage, NIR-AF imaging revealed an area of reduced fluorescence, whereas in the vitelliruptive stage, puncta of elevated NIR-AF signal were present. In both SW-AF and NIR-AF images, the vitelliform lesion in the atrophic stage was marked by reduced signal. At all stages of BVMD, nonlesion qAF was within the 95% confidence intervals for healthy eyes. Similarly, the NIR-AF intensity measurements outside the vitelliform lesion were comparable to the healthy control eye. SD-OCT scans revealed a fluid-filled detachment between the ellipsoid zone and the hyperreflectivity band attributable to RPE/Bruch's membrane. Conclusions: NIR-AF imaging can identify the pre-vitelliform stage of BVMD. Mutations in BEST1 are not associated with increased levels of SW-AF outside the vitelliform lesion. Elevated SW-AF within the fluid-filled lesion likely reflects the inability of RPE to phagocytose outer segments due to separation of RPE from photoreceptor cells, together with progressive photoreceptor cell impairment.

Indexed as

AdultBestrophinsDNADNA Mutational AnalysisFemaleFluorescein AngiographyFundus OculiHumansMaleMiddle AgedMultimodal ImagingMutationRetinal Pigment EpitheliumTomography, Optical CoherenceVitelliform Macular DystrophyBEST1 protein, humanBestrophinsDNA

Identifiers

PMID31070670
PMCPMC6735800
OpenAlexW2944181981

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.