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Record W92646966 · doi:10.1177/120347541201600405

Topical 5% Imiquimod in the Treatment of Lentigo Maligna

2012· article· en· W92646966 on OpenAlexaff
Jessica G. Wong, J. Toole, Alain Demers, Grace Musto, Marni Wiseman

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsCancerCare ManitobaUniversity of Manitoba
Fundersnot available
KeywordsImiquimodMedicineLentigo malignaLentigo maligna melanomaDermatologyLesionSurgeryMelanoma

Abstract

fetched live from OpenAlex

BACKGROUND: Standard treatment for lentigo maligna (LM) is surgical excision with 5 to 10 mm margins. This can be cosmetically disfiguring. Imiquimod locally induces Toll-like receptors to release cytokines that destroy neoplastic melanocytes. OBJECTIVE: The off-label use of topical 5% imiquimod cream may provide an alternative to surgery. This study reviews the use of imiquimod to treat LM. METHODS: A 5-year retrospective and prospective chart analysis was conducted. Pretreatment biopsies confirmed the diagnosis. Treatment was individualized for each patient. Posttreatment biopsies and dermoscopy determined clearance of LM. RESULTS: Twenty-seven patients were reviewed. There were 20 responders (74.1%) and 7 failures. The mean tumor size (area of an ellipse) was 6.69 cm2, and the mean treatment duration was 17.68 weeks. Neither the size of the tumor (p = .86) nor treatment duration (p = .18) was related to resolution of the lesion. CONCLUSION: Imiquimod is an effective treatment for LM that provides patients with a cosmetically favorable outcome when standard surgery is not an option.

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)0.000
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 score0.201
Threshold uncertainty score0.203

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.053
GPT teacher head0.313
Teacher spread0.260 · 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

Citations29
Published2012
Admission routes1
Has abstractyes

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