Evidence map›Paper›PMID 36147875›Full record

ArticleMelanoma management2022

Uveal melanoma patient attitudes towards prognostic testing using gene expression profiling.

Basil K Williams, Jennifer J Siegel, Katherina M Alsina, Lauren Johnston, Amanda Sisco, Kyleigh LiPira, Sara M Selig, Peter G Hovland

Open access · goldAbstract read
In one paragraph

Article in Melanoma management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Observational
  5. 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

8 authors at 4 institutions in 1 country.

Basil K WilliamsDepartment of Ophthalmology, University of Cincinnati College of Medicine, Cincinnati, OH 45219, USA.
Jennifer J SiegelCastle Biosciences Inc., Friendswood, TX 77546, USA.
Katherina M AlsinaCastle Biosciences Inc., Friendswood, TX 77546, USA.
Lauren JohnstonMelanoma Research Foundation, Washington, DC 20005, USA.
Amanda SiscoColorado Retina Associates, Englewood, CO 80110, USA.
Kyleigh LiPiraMelanoma Research Foundation, Washington, DC 20005, USA.
Sara M SeligMelanoma Research Foundation, Washington, DC 20005, USA.
Peter G HovlandColorado Retina Associates, Englewood, CO 80110, USA.
Melanoma Research Foundation · USColorado Retina Center · USRetina Associates · USUniversity of Cincinnati Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study explored uveal melanoma patient experiences and regret following molecular prognostic testing using a 15-gene expression profile (GEP) test. Materials & methods: A retrospective, cross-sectional survey study was conducted through an online questionnaire capturing patient-reported experiences with prognostic biopsy/molecular testing. Results: Of 177 respondents, 159 (90%) wanted prognostic information at diagnosis. Most 15-GEP-tested patients who shared their results (99%) reported gaining value from testing, as did patients tested with other methods. Patients who received prognostic testing experienced lower decision regret than those who opted out. Decision regret did not differ based on GEP class. Conclusion: Most uveal melanoma patients desire prognostic testing and gain value from the GEP, independent of a high- or low-risk result.

Indexed as

15-GEPgene expression profileocular melanomapatient surveyprognostic testinguveal melanoma

Identifiers

PMID36147875
PMCPMC9490505
OpenAlexW3183046355

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.