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Women’s Perspectives Regarding the Impact of Ovarian Cancer

2000· article· en· W2046686856 on OpenAlexaffabout
Margaret I. Fitch, Ross E. Gray, Edmée Franssen

Bibliographic record

VenueCancer Nursing · 2000
Typearticle
Languageen
FieldMedicine
TopicEndometriosis Research and Treatment
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineDiseaseOvarian cancerReferralFeelingQuality of life (healthcare)CancerGynecologyGerontologyInternal medicineFamily medicineNursingPsychology

Abstract

fetched live from OpenAlex

Ovarian cancer is the fourth leading cause of cancer-related death in women. Ovarian cancer and its treatment have a considerable effect on the quality of life of women diagnosed with the disease. Currently, little is known about the perspectives of women regarding their experiences of living with ovarian cancer or the impact of recurrent disease. This article presents data from a national study of Canadian women living with ovarian cancer and describes the impact of the disease and its treatment. In this study, 93 women had recurrent disease, and 170 had not experienced recurrent disease. Women in both groups were similar, ranging in age from 21 to 61 years. Two-thirds of the women were married, and all were white. A greater proportion of the women with recurrent disease reported bowel problems; fears of dying, pain, getting around; and feelings of self-blame. On the average, women with recurrent disease reported experiencing more problems since diagnosis than those without recurrent disease (p = 0.01). The proportion of women who perceived that they received adequate help for their problems ranged from 20% to 85%. Implications for oncology nurses regarding assessment, referral for assistance, and patient education are apparent from the study findings.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score0.996

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)0.0050.000

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 head0.033
GPT teacher head0.397
Teacher spread0.365 · 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.

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

Citations32
Published2000
Admission routes2
Has abstractyes

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