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Record W2419206039

A 36-month clinical experience of the effectiveness of curettage and imiquimod 5% cream in the treatment of basal cell carcinoma.

2008· article· en· W2419206039 on OpenAlexaff
Donald K. Tillman, Marianne T Carroll

Bibliographic record

VenuePubMed · 2008
Typearticle
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsGreat Plains College
Fundersnot available
KeywordsMedicineImiquimodCurettageBasal cell carcinomaDermatologySurgeryBiopsyBasal cellInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Electrodesiccation and curettage is commonly used for the treatment of basal cell carcinomas (BCCs). Does the addition of imiquimod 5% cream improve clearance rates and cosmetic outcomes? OBJECTIVE: To evaluate a 3-year clinical experience of the effectiveness of curettage combined with imiquimod cream in the treatment of BCC. METHODS: Patients were enrolled into the study in the first 10 months of 2003. All patients had biopsy-confirmed BCCs and were treated with curettage followed by imiquimod 5% cream 5 times weekly for 6 weeks. RESULTS: Ninety patients with 101 tumors were treated; a clearance rate of 96% was obtained. Twenty-five sites were rebiopsied at 6 weeks after therapy, regardless of clinical findings. Two of these biopsies showed persistent BCC. The remaining 76 sites were followed clinically and only rebiopsied for clinical signs of reoccurrence. Two additional BCCs reoccurred at 23 months and 25 months, respectively. All patients were followed a minimum of 13 month with an average of 36 months. There were minimal cutaneous side effects and no systemic side effects. CONCLUSIONS: Curettage followed by the application of imiquimod 5% cream resulted in clearance rates of 96% at an average 36 months follow-up. The treatment was well-tolerated and appears to produce a favorable cosmetic outcome.

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 score0.036
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.045
GPT teacher head0.296
Teacher spread0.251 · 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

Citations28
Published2008
Admission routes1
Has abstractyes

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