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Early Postsurgery Experience of Prostate Cancer Patients and Spouses

2000· article· en· W2137387350 on OpenAlexaff
Catherine Phillips, Ross E. Gray, Margaret I. Fitch, Manon Labrecque, Karen Fergus, Laurence Klotz

Bibliographic record

VenueCancer Practice · 2000
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsIrritabilityMedicineDistressProstate cancerQualitative researchCancerFamily medicineNursingPsychiatryAnxietyClinical psychologyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: The authors describe the experience of men with prostate cancer and their spouses in the early recovery period after surgery. DESCRIPTION OF STUDY: As part of a longitudinal qualitative study, semistructured interviews were held with 34 patients who had prostate cancer and their spouses 8 to 10 weeks after surgery. RESULTS: Five components of experience emerged from the interviews: 1) hearing news about the extent of their cancer after surgery influenced how patients viewed their cancer experience and, in many cases, their recovery; 2) men placed great emphasis on recovering their physical capacity quickly; 3) couples connected with each other through working out care routines and managing periods of irritability; 4) couples described a range of responses to surgery side effects and complications; and 5) the meaning of cancer varied for couples, with most seeing the experience as a temporary disruption. CLINICAL IMPLICATIONS: Physicians, nurses, social workers, and other health professionals working with patients before and after prostatectomies may assist couples to prepare better for the early recovery period by being both sensitive to the men's need to recover physical capacity quickly while helping them to understand that recovery takes time. Accurate information about expected periods of irritability, side effects, and possible complications would diminish the likelihood of distress during this period.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.003
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.015
GPT teacher head0.312
Teacher spread0.297 · 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 designQualitative
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

Citations57
Published2000
Admission routes1
Has abstractyes

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