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Record W1978624356 · doi:10.2310/7750.2011.10011

Compliance with Self-Examination Surveillance in Patients with Melanoma and Atypical Moles: An Anonymous Questionnaire Study

2011· article· en· W1978624356 on OpenAlexaff
Peter Hull, Nicholas G. Piemontesi, Jessica Lichtenwald

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2011
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsUniversity of SaskatchewanRoyal University Hospital
FundersNational Comprehensive Cancer Network
KeywordsMedicineMelanomaPhysical examinationCohortDermatologyStage (stratigraphy)Cohort studySurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Regular skin self-examination is suggested as a means to detect melanomas at an early stage and thus improve prognosis. Compliance, however, has seldom been assessed in a routine clinical setting and anonymously. OBJECTIVES: To assess compliance with self-examination in patients with either a previous melanoma or atypical moles (dysplastic nevi) and to examine the perceived utility of supplied photographs. METHODS: An anonymous questionnaire was sent to all patients seen with either a melanoma or atypical moles between the years 1995 and 2005. The melanoma cohort consisted of 143 patients. There were 440 patients with atypical moles. RESULTS: Replies to the questionnaire were received from 94 of the melanoma patients and from 185 patients in the atypical mole cohort. Only 22% (12) in the melanoma group performed a total skin examination monthly. Fewer than 10% of those with atypical moles did a monthly skin examination, but about half of the patients examined their entire skin more than once a year. CONCLUSION: Self-examination is practiced in the majority of patients with either a previous melanoma or atypical moles. Those doing this on a regular monthly basis are a small minority.

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.

How this classification was reachedexpand

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)0.001
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 score0.013
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.025
GPT teacher head0.244
Teacher spread0.219 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2011
Admission routes1
Has abstractyes

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