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Record W1999538063 · doi:10.1136/ebn.10.1.32

Men treated for prostate cancer did not consider urinary, bowel, or sexual dysfunction as problems of health

2007· letter· en· W1999538063 on OpenAlexaff
John L. Oliffe

Bibliographic record

VenueEvidence-Based Nursing · 2007
Typeletter
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsProstate cancerUrologyMedicineProstateSexual dysfunctionUrinary systemCancerGynecologyErectile dysfunctionInternal medicine

Abstract

fetched live from OpenAlex

Korfage IJ, Hak T, de Koning HJ, et al . Patients’ perceptions of the side-effects of prostate cancer treatment—a qualitative interview study. Soc Sci Med 2006;63:911–9.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q How do men who have been treated for prostate cancer perceive the side effects of urinary, bowel, and sexual dysfunction? Qualitative study. University Medical Centre Rotterdam, the Netherlands. 33 men 60–74 years of age who had been treated for prostate cancer and had experienced urinary, bowel, or sexual dysfunctions after, but not before, treatment. All men were recruited from a cohort of prostate cancer patients who had completed self report questionnaires before treatment and at 6 month, 12 month, and 5 year follow up. Questionnaires included disease specific and generic quality of life (QOL) measures. Responses indicated both high levels of dysfunction and high generic scores. Face-to-face semistructured interviews were conducted at a mean of 5–6 years after prostate cancer treatment. Interviews were audiotaped and transcribed verbatim. To explore the discrepancy … [1]: {openurl}?query=rft.jtitle%253DSocial%2Bscience%2B%2526%2Bmedicine%26rft.stitle%253DSoc%2BSci%2BMed%26rft.aulast%253DKorfage%26rft.auinit1%253DI.%2BJ.%26rft.volume%253D63%26rft.issue%253D4%26rft.spage%253D911%26rft.epage%253D919%26rft.atitle%253DPatients%2527%2Bperceptions%2Bof%2Bthe%2Bside-effects%2Bof%2Bprostate%2Bcancer%2Btreatment--a%2Bqualitative%2Binterview%2Bstudy.%26rft_id%253Dinfo%253Adoi%252F10.1016%252Fj.socscimed.2006.01.027%26rft_id%253Dinfo%253Apmid%252F16798130%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1016/j.socscimed.2006.01.027&link_type=DOI [3]: /lookup/external-ref?access_num=16798130&link_type=MED&atom=%2Febnurs%2F10%2F1%2F32.atom [4]: /lookup/external-ref?access_num=000239824500008&link_type=ISI

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.300
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.103
GPT teacher head0.379
Teacher spread0.276 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations1
Published2007
Admission routes1
Has abstractyes

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