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Record W2521914513 · doi:10.1002/pon.4281

The psychosocial experiences of women with breast cancer across the lifespan: a systematic review

2016· review· en· W2521914513 on OpenAlexafffund
Heather J. Campbell‐Enns, Roberta L. Woodgate

Bibliographic record

VenuePsycho-Oncology · 2016
Typereview
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsUniversity of ManitobaCancerCare Manitoba
FundersCanadian Institutes of Health ResearchUniversity of Manitoba
KeywordsPsychosocialBreast cancerPsychological interventionGerontologyPsycho-oncologyQualitative researchMedicineFertilityFocus groupClinical psychologyCancerPsychologyPsychiatryPopulationInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVE: To summarize the psychosocial experience of women with breast cancer from a lifespan perspective by examining the findings of qualitative studies. METHODS: A meta-aggregate review of 24 qualitative studies was undertaken. To be included, studies must include women with a breast cancer diagnosis and focus on younger or older women (as defined by the study), or compare a psychosocial issue across the lifespan. Eight databases were searched systematically. RESULTS: Study participants ranged in age from 26 to 91 years. Sixteen studies focused on younger women, six focused on older women, and two included women across the lifespan. A total of 155 findings were extracted from the studies and were aggregated into 11 categories. These were synthesized into four synthesized findings: (a) dealing with cancer, (b) the importance of caring, (c) the aftermath of cancer, and (d) fertility and infertility. CONCLUSIONS: Further research is required to explore these findings, and to examine the needs of older women in particular. Delineating the similarities and differences in the needs of women across the lifespan will inform the development of psychosocial interventions for all women with 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)0.004
metaresearch head score (Gemma)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.760
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.432
Teacher spread0.391 · 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
GenreReview

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

Citations90
Published2016
Admission routes2
Has abstractyes

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