Evidence map›Paper›PMID 35921375›Full record

ArticlePloS one2022

Assessing the impact of color blindness on the ability of identifying benign and malignant skin lesions by naked-eye examination.

Mutasem Elfalah, Nesrin Sulyman, Anas Alrwashdeh, Sari Al Hajaj, Sonia Alrawashdeh, Asad Al-Rawashdeh, Saif Aldeen AlRyalat

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Adapting ChatGPT for Color Blindness in Medical Education.Annals of biomedical engineering · 2025
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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

7 authors at 3 institutions in 2 countries.

Mutasem ElfalahDepartment of Ophthalmology, The University of Jordan, Amman, Jordan.
Nesrin SulymanInternal Medicine, Primary Healthcare Corporation, Doha, Qatar.
Anas AlrwashdehInternal medicine, King Hussein Cancer Center, Amman, Jordan.ORCID 0000-0002-3626-090X
Sari Al HajajMedical Doctor, School of Medicine, The University of Jordan, Amman, Jordan.
Sonia AlrawashdehDepartment of Ophthalmology, Saratoga Vitreo-Retinal Ophthalmology, New York, New York, United States of America.ORCID 0000-0002-8436-2943
Asad Al-RawashdehInternal Medicine, Private Clinic, Lubbock, Texas, United States of America.
Saif Aldeen AlRyalatDepartment of Ophthalmology, The University of Jordan, Amman, Jordan.ORCID 0000-0001-5588-9458
University of Jordan · JOKing Hussein Cancer Center · JOVitreous Retina Macula Consultants of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColor vision deficiency describes the inability to distinguish certain shades of color. The aim of this study was to assess the impact of having color vision deficiency on the accuracy of distinguishing benign and malignant skin lesions by naked-eye examination.

methodsThis was a cross-sectional study conducted during the period August 2020 to February 2021. We randomly selected a total of 20 nevi and 20 melanoma images from an open access image database. The 40 images were divided into four sets of images, each set contained 5 benign and 5 malignant skin lesion images simulated as if they were seen by a protanope physician, deuteranope physician, tritanope physician, and a set of images presented without simulation. In an online survey, students who were in their final year of medical school or had newly graduated were asked to diagnose each image as benign or malignant.

resultsA total of 140 participants were included with a mean (SD) age of 24.88 (1.51). We found a significantly higher mean accuracy for non-simulated images compared to deuteranope simulated images (p< 0.001, mean difference = 11.07, 95% CI 8.40 to 13.74). We did not find a significant difference in accuracy classification for protanope simulated images (p = 0.066), nor for tritanope simulated images (p = 0.315). Classification accuracy for malignant lesions was higher than classification accuracy for benign lesions, with the highest difference belonging to deuteranope simulated images, with a difference in mean accuracy of classifying malignant lesions by 32.2 (95% CI 27.0 to 37.6).

conclusionDeuteranope participants (i.e., green color deficiency) had a significantly lower accuracy of distinguishing pigmented skin lesions as benign or malignant, an impact not found for other color vision deficiencies, which was mainly for misdiagnosing benign lesions as malignant.

Indexed as

Color Vision DefectsSkin NeoplasmsAlgorithmsCross-Sectional StudiesDermoscopyHumansSensitivity and Specificity

Identifiers

PMID35921375
PMCPMC9348688
OpenAlexW4289638527

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.