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A supportive-expressive group intervention for women with a family history of breast cancer: results of a phase II study

2000· article· en· W2079518714 on OpenAlexaff
Mary Jane Esplen, Brenda B. Toner, Jonathan Hunter, Gordon Glendon, Alexander Liede, S A Narod, Noreen Stuckless, Kate Butler, Barb Field

Bibliographic record

VenuePsycho-Oncology · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsWomen's College HospitalUniversity of TorontoCancer Care OntarioMount Sinai Hospital
Fundersnot available
KeywordsPsychosocialBreast cancerComprehensionClinical psychologyAnxietyFamily historyHistory of depressionDistressIntervention (counseling)Randomized controlled trialDepression (economics)MedicinePsychologyCancerPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Evidence suggests that there are significant psychological and behavioural sequelae associated with having a family history of breast cancer (BC) which can interfere with comprehension of risk estimates. PURPOSE: The purpose of this study was to develop, standardize and do preliminary testing of a group intervention designed to address the emotional impact of having a family history of BC. METHODS: This study is a single-arm pilot design with pre- and post-measures of perceived risk, psychosocial distress, knowledge and screening practices. RESULTS: The primary study outcome measure of risk comprehension was significantly improved by 70%, according to our predetermined criteria for success. In addition, the most important secondary measures of psychosocial functioning, such as cancer-related distress (p=0.025), depression (p=0.05), anxiety (p=0.005) and unresolved grief (p=0.034) were significantly improved. CONCLUSION: The results of this initial pilot study are encouraging; however, further research is required, using a randomized controlled study design to evaluate the relative contribution of this intervention to the successful modification of risk comprehension, enhanced psychological functioning, and to promote optimal screening adherence.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.673
Threshold uncertainty score0.553

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 head0.017
GPT teacher head0.341
Teacher spread0.323 · 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 designNot applicable
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

Citations40
Published2000
Admission routes1
Has abstractyes

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