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Record W1960976165 · doi:10.1177/229255030601400409

The Epidemiology of Cutaneous Malignant Melanoma in Nova Scotia

2006· article· en· W1960976165 on OpenAlexaffvenueabout
Andrew Howlett, Ron Dewar, Steven F. Morris

Bibliographic record

VenueCanadian Journal of Plastic Surgery · 2006
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsCancer Care Nova ScotiaHealth Sciences Centre
Fundersnot available
KeywordsMedicineNova scotiaIncidence (geometry)EpidemiologyDemographyMortality rateMelanomaAge groupsCancer registrySurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Since 1993, the annual increase in cutaneous malignant melanoma (MM) incidence has been one of the highest for all cancers registered in Canada, with the leading rate in Nova Scotia (NS). The purpose of the present study was to document the pathological and epidemiological data on MM cases found in NS. PATIENTS AND METHODS: All MM cases identified by the Nova Scotia Cancer Registry from January 1998 to December 2002 were evaluated. The five-year survival outlook, by major prognostic factors, was also determined. In addition, the annual incidence and mortality rates from 1972 to 2002 were computed. RESULTS: Between 1998 and 2002, 925 MM cases were recorded. The age-standardized incidence rate for males and females in this period was 19.2 and 16.1 per 100,000 respectively. Men 65 years of age or older had the highest age-specific rate. The most common MM had a Breslow's depth of less than 1.0 mm (61.9%) and was Clark's level II (34.9%). There was no significant seasonal variation noted in the time of diagnosis. Survival analyses indicated that sex, age, tumour location and thickness were significant independent predictors. Despite the increase in incidence, there have only been modest changes in the annual mortality rate. CONCLUSION: The incidence of MM in NS increases with age, and is nearly double for men 65 years of age or older, compared with women in the same age group. Thin melanomas on the extremities of young females have the best prognosis in NS, which is similar to other parts of the world. Incidence appears to be unrelated to season. Public health interventions are necessary to reduce the burden of this disease.

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)0.003
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 score0.135
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.024
GPT teacher head0.240
Teacher spread0.215 · 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

Citations6
Published2006
Admission routes3
Has abstractyes

Explore more

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