Evidence map›Paper›PMID 35087820›Full record

ArticleOcular oncology and pathology2021

Small Choroidal Melanoma: Correlation between Clinical Characteristics and Metastatic Potential.

Shiming Luo, Vishal Raval, Emily C Zabor, Arun D Singh

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. 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 82% 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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Shiming LuoDepartment of Quantitative Health Sciences & Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Vishal RavalDepartment of Quantitative Health Sciences & Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Emily C ZaborOphthalmic Oncology, Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Arun D SinghDepartment of Quantitative Health Sciences & Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Cleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceDiagnosis of small choroidal melanoma is based upon clinical features and presence of factors predictive of local malignant growth. Prognostic biopsy quantifies risk of metastasis.

objectiveThe aim of this study is to explore relationship between clinical characteristics and metastatic potential of a small choroidal melanoma.

designRetrospective review of 53 patients with small choroidal melanoma treated in a tertiary oncology clinic. Patients were derived from 3 cohorts, with pathologic confirmation, with growth confirmation, and those treated only on clinical basis. Based upon prognostic biopsy outcomes, each case was classified into low or high metastatic potential groups. Distribution of clinical characteristics such as age, laterality, symptoms, tumor dimensions, tumor distance from optic nerve and fovea, presence of surface orange pigment, drusen, retinal pigment epithelial atrophy, and subretinal fluid was analyzed between metastatic groups.

main outcome measuresDistribution of clinical characteristics between low or high metastatic potential groups was analyzed.

resultsA total of 53 patients [mean age, 61 years (range, 27-81 years); 32 (60%) men and 21 (40%) women] were classified into pathology confirmed group (

conclusionClinical characteristics do not identify metastatic potential of a small choroidal melanoma.

Indexed as

DiagnosisGrowth rateHistopathologySmall choroidal melanoma

Identifiers

PMID35087820
PMCPMC8740206
OpenAlexW3199041314

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.