Evidence map›Paper›PMID 32281979›Full record

ArticleJournal of visualized experiments : JoVE2020

Using an Automated Hirschberg Test App to Evaluate Ocular Alignment.

Gang Luo, Shrinivas Pundlik, Matteo Tomasi, Kevin Houston

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Subjective Refraction Test Using a Smartphone for Vision Screening.Journal of visualized experiments : JoVE · 2024
    Article
  5. Article
  6. Development and Preliminary Validation of a Virtual Reality Approach for Measurement of Torsional Strabismus.Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society · 2022
    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.

Gang LuoSchepens Eye Research Institute, Mass Eye & Ear, Harvard Medical School; gang_luo@meei.harvard.edu.
Shrinivas PundlikSchepens Eye Research Institute, Mass Eye & Ear, Harvard Medical School.
Matteo TomasiEyeNexo, LLC.
Kevin HoustonSchepens Eye Research Institute, Mass Eye & Ear, Harvard Medical School.

Funding

Mobile medical application for cost-effective strabismus screeningR44EY025902 · NEI · EYENEXO LLC · PI HOUSTON, KEVIN EDWARD, LUO, GANG · 2017 to 2018
$1.0M
Mobile medical application for cost-effective strabismus screeningR43EY025902 · NEI · EYENEXO LLC · PI LUO, GANG, TITUS, DAVID · 2015 to 2015
$153k
NEI NIH HHS R43 EY025902NEI NIH HHS R44 EY025902
6 · The paper itself

Abstract

A smartphone app has been developed to perform the automated photographic Hirschberg test for objective measurement of ocular misalignment. By computing the difference in corneal reflection generated by the phone camera flash relative to the iris center based on high resolution images, the app can measure misalignment with a much higher precision than the naked eye performing the Hirschberg test. It has been validated in a previous clinical evaluation study by comparing to the clinical gold standard-prism and alternate cover test. The goal of this article is to describe the testing techniques regarding how to use the app to measure ocular alignment for different fixation distances, without or with cover to break fusion, as well as angle kappa, so that users can use the app to perform equivalent tests typically done in clinic using prisms.

Indexed as

Fixation, OcularHumansStrabismus

Identifiers

PMID32281979
PMCPMC12705176

What OpenQuestion holds

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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.