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Being Screened for Prostate Cancer

2006· article· en· W2008977243 on OpenAlexaff
John L. Oliffe

Bibliographic record

VenueCancer Nursing · 2006
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsProstate cancerMedicineProstate cancer screeningGynecologyCancer screeningProstateCancerFamily medicineProstate-specific antigenPublic healthInternal medicineNursing

Abstract

fetched live from OpenAlex

The virtues of screening men for prostate cancer continue to be debated in political and public health, as well as clinical forums. Science has been unable to accurately predict screening benefits, yet many men are required to make informed decisions about prostate cancer screening. Clinicians' screening practices have been reported, but little research attention has been given to patients' experiences. The purpose of this study was to describe patients' perspectives of being screened and subsequently diagnosed with prostate cancer. Thirty-five Anglo-Australian men were interviewed, and the data were analyzed using ethnographic content analysis. The findings indicated that most participants experienced screening as a continuum of 3 tests, rather than the simple prostate-specific antigen blood test they had often anticipated. Commitment to a definitive diagnosis when abnormality was detected through screening and uptake of active treatment(s) when prostate cancer was confirmed were strongly represented in this study. The findings offer insight to the complex and often rapid sequence of events that can accompany prostate cancer screening. This has implications for the information that needs to be discussed with men before, rather than after prostate cancer screening has commenced.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.731
Threshold uncertainty score0.604

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)0.0000.000

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 head0.020
GPT teacher head0.332
Teacher spread0.312 · 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 designOther design
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

Citations24
Published2006
Admission routes1
Has abstractyes

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