Evidence map›Paper›PMID 32976563›Full record

Observational studyInvestigative ophthalmology & visual science2020

Quantitative Fundus Autofluorescence in HCQ Retinopathy.

Vivienne C Greenstein, Jose Ronaldo Lima de Carvalho, Rait Parmann, Luz Amaro-Quireza, Winston Lee, Donald C Hood, Stephen H Tsang, Janet R Sparrow

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Investigative ophthalmology & visual science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Fundus Autofluorescence and Clinical Applications.Journal of ophthalmic & vision research
    Review
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

8 authors at 1 institution in 1 country.

Vivienne C GreensteinDepartment of Ophthalmology, Columbia University Medical Center, New York, New York, United States.
Jose Ronaldo Lima de CarvalhoDepartment of Ophthalmology, Columbia University Medical Center, New York, New York, United States.
Rait ParmannDepartment of Ophthalmology, Columbia University Medical Center, New York, New York, United States.
Luz Amaro-QuirezaDepartment of Ophthalmology, Columbia University Medical Center, New York, New York, United States.
Winston LeeDepartment of Ophthalmology, Columbia University Medical Center, New York, New York, United States.
Donald C HoodDepartment of Ophthalmology, Columbia University Medical Center, New York, New York, United States.
Stephen H TsangDepartment of Ophthalmology, Columbia University Medical Center, New York, New York, United States.
Janet R SparrowDepartment of Ophthalmology, Columbia University Medical Center, New York, New York, United States.
Columbia University Irving Medical Center · US

Funding

Instrumentation, Fabrication, and Design CoreP30EY019007 · NEI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Xin Zhang · 2010 to 2026
$12.9M
MEASURES OF HUMAN RECEPTOR AND POST RECEPTOR ACTIVITYR01EY009076 · NEI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI BIRCH, DAVID G, HOOD, DONALD C. · 1991 to 2021
$8.3M
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 EY009076NEI NIH HHS R01 EY024091
6 · The paper itself

Abstract

Purpose: To increase our understanding of the mechanisms underlying hydroxychloroquine (HCQ) retinopathy, analyses by quantitative fundus autofluorescence (qAF) and near-infrared fundus autofluorescence (NIR-AF) were compared to results obtained by recommended screening tests. Methods: Thirty-one patients (28 females, 3 males) were evaluated with standard automated perimetry and spectral domain optical coherence tomography (SD-OCT); 28 also had multifocal electroretinography (mfERG). Measurement of short-wavelength fundus autofluorescence (SW-AF) by qAF involved the use of an internal fluorescent reference and intensity measurements in eight concentric segments at 7° to 9° eccentricity. For semiquantitative analysis of NIR-AF, intensities were acquired along a vertical axis through the fovea. Results: Four of 15 high-dose (total dose >1000 g, daily dose >5.0 mg/kg) patients and one of 16 low-dose (total dose <1000 g, daily dose 4.4 mg/kg) patients were diagnosed with HCQ-associated retinopathy based on abnormal 10-2 visual fields, SD-OCT, and SW-AF imaging. Three of the high-dose patients also had abnormal mfERG results. Of the five patients exhibiting retinopathy, two had qAF color-coded images revealing higher intensities inferior, nasal, and lateral to the fovea. The abnormal visual fields also exhibited superior-inferior differences. Mean NIR-AF gray-level intensities were increased in four high-dose patients with no evidence of retinopathy. In two patients with retinopathy, NIR-AF intensity within the parafovea was below the normal range. One high-dose patient (6.25 mg/kg) had only abnormal mfERG results. Conclusions: These findings indicate that screening for HCQ retinopathy should take into consideration superior-inferior differences in susceptibility to HCQ retinopathy.

Indexed as

AdolescentAdultAgedAntirheumatic AgentsChildElectroretinographyFemaleFluorescein AngiographyFundus OculiHumansHydroxychloroquineMaleMiddle AgedRetinal DiseasesRetinal Pigment EpitheliumTomography, Optical CoherenceAntirheumatic AgentsHydroxychloroquine

Identifiers

PMID32976563
PMCPMC7521180
OpenAlexW3088842731

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.