Evidence map›Paper›PMID 30356944›Full record

ArticleTranslational vision science & technology2018

Multi-line Adaptive Perimetry (MAP): A New Procedure for Quantifying Visual Field Integrity for Rapid Assessment of Macular Diseases.

Steven M Thurman, Marcello Maniglia, Pinakin G Davey, Mandy K Biles, Kristina M Visscher, Aaron R Seitz

Erratum issuedOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational vision science & technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 83% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Steven M ThurmanU.S. Army Research Laboratory, Human Research and Engineering Directorate, Aberdeen Proving Ground, MD, USA.
Marcello ManigliaDepartment of Psychology, University of California, Riverside, Riverside, CA, USA.
Pinakin G DaveyCollege of Optometry, Western University, Pomona, CA, USA.
Mandy K BilesDepartment of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA.
Kristina M VisscherDepartment of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA.
Aaron R SeitzDepartment of Psychology, University of California, Riverside, Riverside, CA, USA.
University of Alabama at Birmingham · USUniversity of California, Riverside · USDEVCOM Army Research Laboratory · USWestern University of Health Sciences · US

Funding

Changes in Visual Cortical Connectivity Following Central Visual Field LossU01EY025858 · NEI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI VISSCHER, KRISTINA · 2016 to 2019
$2.1M
Integrating Perceptual Learning Approaches into Effective Therapies for Low VisioR01EY023582 · NEI · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI SEITZ, AARON R · 2013 to 2017
$1.8M
NEI NIH HHS R01 EY023582NEI NIH HHS U01 EY025858
6 · The paper itself

Abstract

purposeIn order to monitor visual defects associated with macular degeneration (MD), we present a new psychophysical assessment called multiline adaptive perimetry (MAP) that measures visual field integrity by simultaneously estimating regions associated with perceptual distortions (metamorphopsia) and visual sensitivity loss (scotoma).

methodsWe first ran simulations of MAP with a computerized model of a human observer to determine optimal test design characteristics. In experiment 1, predictions of the model were assessed by simulating metamorphopsia with an eye-tracking device with 20 healthy vision participants. In experiment 2, eight patients (16 eyes) with macular disease completed two MAP assessments separated by about 12 weeks, while a subset (10 eyes) also completed repeated Macular Integrity Assessment (MAIA) microperimetry and Amsler grid exams.

resultsResults revealed strong repeatability of MAP and high accuracy, sensitivity, and specificity (0.89, 0.81, and 0.90, respectively) in classifying patient eyes with severe visual impairment. We also found a significant relationship in terms of the spatial patterns of performance across visual field loci derived from MAP and MAIA microperimetry. However, there was a lack of correspondence between MAP and subjective Amsler grid reports in isolating perceptually distorted regions.

conclusionsThese results highlight the validity and efficacy of MAP in producing quantitative maps of visual field disturbances, including simultaneous mapping of metamorphopsia and sensitivity impairment. TRANSLATIONAL RELEVANCE: Future work will be needed to assess applicability of this examination for potential early detection of MD symptoms and/or portable assessment on a home device or computer.

Indexed as

macular diseasemetamorphopsiamicroperimetrypsychophysicsretina

Identifiers

PMID30356944
PMCPMC6192464
OpenAlexW2896229866

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.