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Record W2989492121 · doi:10.17615/1ke3-tr83

Public Skin Cancer Screenings with the Polka Dot Mama Melanoma Foundation

2019· article· en· W2989492121 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCarolina Digital Repository (University of North Carolina at Chapel Hill) · 2019
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsnot available
FundersGillings School of Public HealthMcGill University
KeywordsSkin cancerFoundation (evidence)MedicineDermatologyMelanomaCancerPolitical scienceCancer researchInternal medicine

Abstract

fetched live from OpenAlex

Background: Skin cancer is a major public health burden. While treatable, early diagnosis usually portends a better prognosis. Screening is one preventive measure, although the United States Preventive Services Task Force has deemed there to be “insufficient evidence” for recommendation. The American Academy of Dermatology has sponsored free, public skin screenings since 1985, but there is minimal data supporting these efforts. The utility of community screening events in general is debated in the literature.Objective: To determine whether free, public skin cancer screenings are effective for secondary prevention of skin cancer through an analysis of follow-up rates of screening events hosted by the Polka Dot Mama Melanoma Foundation. To explore the challenges of implementing and measuring effectiveness of a community screening event.Methods: I conducted an observational study using survey data, along with a literature review on the value of community-oriented screening events.Results: Most screening participants were white, female, and 51 to 65 years old. More than half have had at least one blistering sunburn before age 20 years old and approximately half have used indoor tanning equipment. Over half of participants surveyed by telephone reported demonstrating sun-protective behaviors since their screening. Approximately one-third of participants had never seen a dermatologist prior to the screening. Diagnostic confirmation of four total skin cancers and two precancerous AKs appeared to result from these screening events.Conclusion: Community screenings are primarily helpful insofar as their success can be measured. It is important to study challenges associated with community screenings for the evaluation and success of future community screening events. The general sentiment toward skin cancer screenings is mixed, so future studies must focus on whether or not free skin screenings have a positive influence on the community and save lives.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.183
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it