Evidence map›Paper›PMID 35896849›Full record

ArticleDocumenta ophthalmologica. Advances in ophthalmology2022

Documentation of recovery from vitamin A deficiency-related retinopathy via multimodal imaging and electroretinogram testing.

Stephanie Choi, Saagar Pandit, Sachi A Patil, Scott E Brodie

Abstract readCase Reports
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In one paragraph

Article in Documenta ophthalmologica. Advances in ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Stephanie ChoiDepartment of Ophthalmology, New York University, Floor 3, 222 E 41st Street, New York City, NY, 10017, USA.
Saagar PanditDepartment of Ophthalmology, New York University, Floor 3, 222 E 41st Street, New York City, NY, 10017, USA.
Sachi A PatilNew York University Grossman School of Medicine, New York City, USA.
Scott E BrodieDepartment of Ophthalmology, New York University, Floor 3, 222 E 41st Street, New York City, NY, 10017, USA. scott.brodie@nyulangone.org.ORCID 0000-0002-3303-4552
City University of New York · USNew York University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo describe vitamin A deficiency using multimodal functional visual assessments and imaging. METHODS/CASE: A 50-year-old female with past medical history significant for Roux-en-Y gastric bypass surgery complained of nyctalopia and "yellowing" of vision.

resultsVitamin A levels were noted to be < 0.06 mg/L (normal 0.3-0.12 mg/L). Fundus examination was notable for peripheral yellow punctate lesions, superior arcuate defects on HVF 30-2 testing, an indistinct ellipsoid zone on SD-OCT, and absent rod responses and severely reduced amplitudes for the cone photoreceptors on full-field ERG. These findings resolved with initiation of parenteral vitamin A supplementation.

conclusionThis report documents an example of vitamin A deficiency in the developed world. We aim to provide a comprehensive description of clinical examination and multimodal imaging findings before and after vitamin supplementation for vitamin A deficiency.

Indexed as

Retinal DiseasesVitamin A DeficiencyDocumentationElectroretinographyFemaleHumansMiddle AgedMultimodal ImagingTomography, Optical CoherenceVisual AcuityVitamin AVitamin ABariatric surgeryElectroretinographyFull-field ERGOptical coherence tomographyVisual fieldVitamin A deficiency

Identifiers

PMID35896849
OpenAlexW4288066453

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.