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Record W2513281085 · doi:10.1016/s0167-8140(16)33596-4

197: Living Well Beyond Cancer

2016· article· en· W2513281085 on OpenAlexaff
Linda Watson, Shelley Currie, Reza Zari

Bibliographic record

VenueRadiotherapy and Oncology · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsAlberta Health Services
Fundersnot available
KeywordsCancerMedicineInternal medicine

Abstract

fetched live from OpenAlex

Purpose: There are well known negative consequences associated with the diagnosis, management and treatment of prostate cancer.We sought to determine what the perceived unmet information and supportive care needs of Canadian prostate cancer patients were according to treatment.Methods and Materials: Surveys were conducted in 2014-15 using a random sample of men diagnosed with PC in 2012 from three provincial cancer registries (BC, AB, SK).Survey questions included demographics, treatment received, information and support needs.Participants were asked if they had met or unmet needs within last two months regarding 42 topics included in six domains: physical, psychological, sexual, care and support, health information, and prostate cancer-specific.An unmet need (UMN) was defined in the survey as a need that was not fully met as a result of having prostate cancer or its treatments.Results: Provincial response rates ranged from 46%-55%.Patients (n = 810) were grouped into the following treatment categories: active surveillance (AS) (n = 37), watchful waiting (n = 25), surgery (S) (n = 294), S+external beam radiotherapy (EBRT) (n = 24), S+EBRT+hormone therapy (HT) (n = 22), EBRT (n = 68), EBRT+HT (n = 100), brachytherapy (BT) (n = 112), BT+HT (n = 19), EBRT+BT (n = 16), EBRT+BT+HT (n = 30), HT (n = 47), chemotherapy (CT) (n = 16).The mean total number of UMN (maximum 42) ranged from 1.8 to 8.5 across treatment groups.Patients who received local therapies had a higher mean total number of UMN (mean = 3.8) compared to AS (mean = 2.3) (p = 0.034).Treatment groups differed in mean UMN in the five physical domain questions (p = 0.001).Patients receiving CT (mean = 1.6) or EBRT+BT+HT (mean = 0.7) had higher UMN than all others (all means < 0.5).The groups also differed in their mean UMN in the eight prostate cancer specific domain topics (p = 0.04).CT patients had the highest UMN (mean = 1.7).Patients undergoing AS (mean = 0.4) had fewer UMN compared to radiation treatments (BT+HT, EBRT+BT+HT, EBRT+HT) (means = 0.9-1.3).Patients receiving BT+HT (mean = 1.3) had higher UMN compared to EBRT or BT alone (mean = 0.6 for each).Groups also differed in their mean UMN in the nine psychological domain topics (p = 0.05).CT patients (mean = 2.5) had higher UMN than other groups (means = 0.4-1.6).Surgical patients had higher sexual UMN (mean = 0.8) compared to other radiation local therapies (means=0.4-0.6)(p < 0.05) and AS (mean = 0.4) (p = 0.034).UMN regarding cancer fears, uncertainty, sexual feelings and relationships, loss of manhood or hot flushes were reported at high frequency (> 20%) in at least four of the treatment groups.Conclusions: There is a range of UMN for men with PC across different domains and differences between treatment groups.Identification of high UMN may serve as impetus to further address these needs by the healthcare system and community.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.003

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 head0.008
GPT teacher head0.279
Teacher spread0.272 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2016
Admission routes1
Has abstractno

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