Evidence map›Paper›PMID 42255872›Full record

ArticleCureus2026

Assessing Patient Awareness of Sun Exposure and Eyelid Cancer.

Carolyn May, Samantha Prabakaran, Alexis Cherry, Nikisha Richards

Abstract read
In one paragraph

Article in Cureus, 2026. 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
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.

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.

Carolyn MayOphthalmology, Virginia Commonwealth University, Richmond, USA.
Samantha PrabakaranOphthalmology, Virginia Commonwealth University, Richmond, USA.
Alexis CherryOphthalmology, Virginia Commonwealth University School of Medicine, Richmond, USA.
Nikisha RichardsOphthalmology, Virginia Commonwealth University, Richmond, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective Eyelid cancers are associated with significant diagnostic and therapeutic challenges. The eyelids are highly sun-exposed, yet awareness of eyelid cancer risk and sun protection practices remains insufficiently studied. This study aimed to evaluate patient awareness regarding eyelid cancer and associated preventive behaviors across different demographic groups. Methods A cross-sectional survey study was conducted at Virginia Commonwealth University (VCU) Health between May and August 2023. Ophthalmology clinic patients were given an anonymous 22-question survey upon their arrival. Demographics, awareness of sun exposure and eyelid cancer, and preventive practices were analyzed using the Chi-square tests of independence. Results A total of 484 participants completed the survey. While 191 of 197 White respondents (96.9%) recognized sun exposure as a risk factor for skin cancer, only 153 of 213 Black respondents (71.8%) did so (p < 0.0001). Overall, 214 of 484 participants (44.2%) were unaware that the eyelids can be affected by cancer. Only 70 of 484 respondents (14.8%) reported using facial sunscreen daily, and 115 of 484 (24.4%) reported applying sunscreen to the eyelids. Individuals with a higher level of education reported greater use of sun exposure preventative measures. Conclusions Awareness of eyelid cancer and adherence to sun protection practices remain suboptimal, particularly among Black patients, men, older adults, and those with lower levels of education. These findings highlight the need for targeted public health initiatives and physician counseling to improve prevention and reduce the risk of eyelid cancer.

Indexed as

cancer preventioneyelid cancereyelid surgerysun exposuresun protection

Identifiers

PMID42255872
PMCPMC13236003

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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.