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Record W2601257983 · doi:10.1177/084456211404600205

Exploring the Impact of Prostate Cancer Radiation Treatment on Functions, Bother, and Well-Being

2014· article· en· W2601257983 on OpenAlexaffvenue
Maher M. El‐Masri, Susan M. Fox-Wasylyshyn, Colvin D. Springer, Sheila Cameron

Bibliographic record

VenueCanadian Journal of Nursing Research · 2014
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsWindsor Regional HospitalUniversity of Windsor
Fundersnot available
KeywordsMedicineProstate cancerRadiation therapyGynecologyCancerSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Though many studies have explored the effects of radiation therapy on urinary, sexual, and bowel function and/or bother, few have focused on symptom experiences from diagnosis through the first year following completion of radiation therapy. The purpose of this study was to compare the effect of 3 types of radiation treatment on functions, bother, and well-being in men with prostate cancer at 1, 6, and 12 months after completion of treatment. A repeated measures survey (N = 73) found that none of the function, bother, emotional, social, or functional well-being scores were significantly different among the 3 groups. However, within-subjects-only repeated measures ANCOVA suggested that emotional well-being and social well-being are different over time. The findings show that clinical treatment of prostate cancer has an impact on functions, bother, and well-being of patients. Thus, it is important that nurses and other healthcare providers listen to what patients are saying before, during, and after treatment.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.119
GPT teacher head0.402
Teacher spread0.283 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2014
Admission routes2
Has abstractyes

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