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Record W2744326576 · doi:10.5737/23688076273236242

Fear of cancer recurrence: A study of the experience of survivors of ovarian cancer

2017· article· en· W2744326576 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsMcGill UniversityJewish General HospitalMcGill University Health Centre
Fundersnot available
KeywordsWorryPsychosocialOvarian cancerCoping (psychology)Fallopian tubeSurvivorship curveQualitative researchCancer recurrenceMedicineGynecologyOncologyPsychologyInternal medicineClinical psychologyCancerObstetricsPsychotherapistAnxietyPsychiatry

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of this study is to better understand fear of cancer (FCR) through the experience of ovarian and fallopian tube cancer survivors. METHODS: This study used a descriptive qualitative design. Twelve participants in remission from ovarian or fallopian tube cancer were recruited. Researchers conducted face-to-face, semi-structured interviews and the content, transcribed verbatim, underwent content analysis. RESULTS: FCR has been identified as a significant concern for women in remission from ovarian cancer. Four themes emerged from the participants' FCR experience: (a) uncertainty surrounding recurrence; (b) varied beliefs and sources of worry; (c) perceived risk of recurrence; (d) management of FCR. IMPLICATIONS: Survivorship support can be optimized by nurses by screening for FCR, offering psychosocial support for women at risk for FCR, teaching and reinforcing adaptive coping strategies.

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.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.042
GPT teacher head0.386
Teacher spread0.344 · 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