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Record W2948648435 · doi:10.1089/jayao.2019.0030

The Voices of Young Women with Breast Cancer: Providing Support and Information for Improved Fertility Preservation Discussions

2019· article· en· W2948648435 on OpenAlexafffund
Amirrtha Srikanthan, Josée-Lyne Ethier, Eitan Amir

Bibliographic record

VenueJournal of Adolescent and Young Adult Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoOttawa Hospital
FundersUniversity Health Network
KeywordsFertilityFertility preservationMedicineThematic analysisOncofertilityBreast cancerFamily medicineFocus groupYoung adultCohortQualitative researchGynecologyCancerGerontologyPopulationInternal medicine

Abstract

fetched live from OpenAlex

Purpose: Fertility is a concern for young women with breast cancer. We explore patient experiences with fertility discussions at diagnosis to identify barriers and preferences to patient-centered delivery of care. Methods: A qualitative study was conducted on consecutive, female breast cancer survivors, 39 years of age or younger at diagnosis and within 2 years of diagnosis, who attended routine outpatient follow-up at a large academic teaching center. Interviews lasted 30 minutes and were transcribed verbatim. Thematic analysis was conducted to explore experiences around fertility discussions. Strength of the theme was determined by examining the frequency of a response. Data collection and analysis continued until theoretical saturation was reached. Results: Analysis comprised 50 women with a median age of 34.5 years (range 25–39 years). Thirty-nine women (78%) had completed university education. Thirty-three women (66%) recalled having fertility preservation discussions at diagnosis. The most common themes identified include the following: (i) the requirement for more patient support, (ii) improving information, (iii) integration of patient values, (iv) creating options for patients, (v) financial limitations, and (vi) the need to look beyond the immediate impact. Conclusions: In this contemporary cohort of young adult breast cancer survivors, fertility discussion experiences at diagnosis remain suboptimal. Improved information and a focus on individual patient desires can improve experiences.

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 score0.074
Threshold uncertainty score0.155

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.281
Teacher spread0.271 · 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

Citations12
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Adolescent and Young Adult OncologySame topicReproductive Biology and FertilityFrench-language works237,207