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Perception of Risk and Surveillance Practices of Women With a Family History of Breast Cancer

2006· article· en· W2094443585 on OpenAlexaff
Wanda Martin, Lesley F. Degner

Bibliographic record

VenueCancer Nursing · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsUniversity of ManitobaUniversity of Victoria
Fundersnot available
KeywordsMedicineBreast cancerFamily historyMammographyDepression (economics)Risk perceptionBreast cancer screeningEpidemiologyDepressive symptomsPerceptionCancerClinical psychologyGynecologyFamily medicinePsychiatryInternal medicinePsychologyAnxiety

Abstract

fetched live from OpenAlex

A retrospective study was designed to examine the relationship between perception of risk and surveillance activities (mammography and clinical breast examination) in women with a family history of breast cancer. The Revised Susceptibility, Benefits, and Barriers Scale for Mammography Screening, the Centre for Epidemiology Studies--Depression Scale (CES-D), and a demographic form were administered to a convenience sample of 56 women. There were no significant relationships between perceived risk and screening activities. No significant correlations were found between age or depressive symptoms with either perceived risk or screening behaviors. Women with postsecondary qualifications were more likely to obtain regular mammograms. A substantial portion (34.5%) of participants reported depressive symptoms at a level associated with clinically significant levels of depression (>or=16 on the CES-D). Women over age 50 reported significantly more depressive symptoms than younger women. Perceived risk was not associated with screening; however, depression should be considered closely when dealing with women with higher-than-average risk of breast cancer.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
Threshold uncertainty score0.356

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 head0.010
GPT teacher head0.275
Teacher spread0.265 · 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

Citations27
Published2006
Admission routes1
Has abstractyes

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