Evidence map›Paper›PMID 28507827›Full record

ArticleIEEE journal of translational engineering in health and medicine2017

Wearable Improved Vision System for Color Vision Deficiency Correction.

Paolo Melillo, Daniel Riccio, Luigi Di Perna, Gabriella Sanniti Di Baja, Maurizio De Nino, Settimio Rossi, Francesco Testa, Francesca Simonelli, Maria Frucci

Abstract read
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

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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

9 authors.

Paolo MelilloMultidisciplinary Department of Medical, Surgical and Dental SciencesUniversity of Campania Luigi Vanvitelli.
Daniel RiccioDepartment of Electrical Engineering and Information TechnologyUniversity of Naples Federico II.
Luigi Di PernaMultidisciplinary Department of Medical, Surgical and Dental SciencesUniversity of Campania Luigi Vanvitelli.
Gabriella Sanniti Di BajaInstitute of High Performance Computing and NetworkingNational Research Council.
Maurizio De NinoDigitalcomoedia.
Settimio RossiMultidisciplinary Department of Medical, Surgical and Dental SciencesUniversity of Campania Luigi Vanvitelli.
Francesco TestaMultidisciplinary Department of Medical, Surgical and Dental SciencesUniversity of Campania Luigi Vanvitelli.
Francesca SimonelliMultidisciplinary Department of Medical, Surgical and Dental SciencesUniversity of Campania Luigi Vanvitelli.
Maria FrucciInstitute of High Performance Computing and NetworkingNational Research Council.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Color vision deficiency (CVD) is an extremely frequent vision impairment that compromises the ability to recognize colors. In order to improve color vision in a subject with CVD, we designed and developed a wearable improved vision system based on an augmented reality device. The system was validated in a clinical pilot study on 24 subjects with CVD (18 males and 6 females, aged 37.4 ± 14.2 years). The primary outcome was the improvement in the Ishihara Vision Test score with the correction proposed by our system. The Ishihara test score significantly improved ([Formula: see text]) from 5.8 ± 3.0 without correction to 14.8 ± 5.0 with correction. Almost all patients showed an improvement in color vision, as shown by the increased test scores. Moreover, with our system, 12 subjects (50%) passed the vision color test as normal vision subjects. The development and preliminary validation of the proposed platform confirm that a wearable augmented-reality device could be an effective aid to improve color vision in subjects with CVD.

Indexed as

Augmented realitycolor vision deficiencymedical devicewearable device

Identifiers

PMID28507827
PMCPMC5418066

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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.