Evidence map›Paper›PMID 34604203›Full record

ArticleOcular oncology and pathology2021

Distinguishing Choroidal Nevi from Melanomas Using the MOLES Algorithm: Evaluation in an Ocular Nevus Clinic.

Lamis Al Harby, Mandeep S Sagoo, Roderick O'Day, Gordon Hay, Amit K Arora, Pearse A Keane, Victoria M-L Cohen, Bertil Damato

Open access · bronzeAbstract read
In one paragraph

Article in Ocular oncology and pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 24 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Lamis Al HarbyOcular Oncology Service, Moorfields Eye Hospital, London, United Kingdom.
Mandeep S SagooOcular Oncology Service, Moorfields Eye Hospital, London, United Kingdom.
Roderick O'DayOcular Oncology Service, Moorfields Eye Hospital, London, United Kingdom.
Gordon HayOcular Oncology Service, Moorfields Eye Hospital, London, United Kingdom.
Amit K AroraOcular Oncology Service, Moorfields Eye Hospital, London, United Kingdom.
Pearse A KeaneNIHR Biomedical Research Centre for Ophthalmology at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom.
Victoria M-L CohenOcular Oncology Service, Moorfields Eye Hospital, London, United Kingdom.
Bertil DamatoOcular Oncology Service, Moorfields Eye Hospital, London, United Kingdom.
Moorfields Eye Hospital · GBNuffield Orthopaedic Centre · GB

Funding

Medical Research Council MR/T019050/1
6 · The paper itself

Abstract

objectiveThe aim of this study was to determine the sensitivity and specificity of the MOLES scoring system in differentiating choroidal melanomas from nevi according to Mushroom shape, Orange pigment, Large tumor size, Enlarging tumor, and Subretinal fluid (SRF).

methodsColor photographs, fundus-autofluorescence images, and optical coherence tomography of 222 melanocytic choroidal tumors were reviewed. Each MOLES feature was retrospectively scored between 0 and 2 and tumors categorized as "common nevus," "low-risk nevus," "high-risk nevus," and "probable melanoma" according to the total score. MOLES scores were compared with the experts' diagnosis of melanoma.

resultsThe MOLES scoring system indicated melanoma in all 81 tumors diagnosed as such by ocular oncologists (100% sensitivity) and nevus in 135 of 141 tumors given this diagnosis by these experts (95.7% specificity). Of the 6 tumors with discordant diagnoses, 4 had basal diameters exceeding 6 mm, all with SRF and/or orange pigment, and 2 small tumors showed either significant SRF with traces of orange pigment, or vice versa.

conclusionsThe MOLES system for diagnosing melanocytic choroidal tumors compares well with expert diagnosis but needs to be evaluated when deployed by ophthalmologists and community optometrists in a wide variety of working environments.

Indexed as

Choroidal molesChoroidal nevusChoroidal tumorMelanomaOphthalmic oncology

Identifiers

PMID34604203
PMCPMC8443944
OpenAlexW3150978974

What OpenQuestion holds

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Registered trials

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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.