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Palliative versus nonpalliative patients’ perceptions of the effect of alcohol consumption on clinical outcomes.

2017· article· en· W2769593259 on OpenAlexaff
Graham McFarlane, Karmugi Balaratnam, Peter Selby, Shabbir Alibbhai, M. Catherine Brown, Jennifer M. Jones, Doris Howell, Dan Pringle, Wei Xu, Geoffrey Liu, Lawson Eng

Bibliographic record

VenueJournal of Clinical Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsToronto General HospitalCentre for Addiction and Mental HealthPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicinePalliative careQuality of life (healthcare)CancerAlcohol consumptionBreast cancerFamily medicineInternal medicineAlcoholNursing

Abstract

fetched live from OpenAlex

199 Background: Little is known about the perceptions of palliative patients on the impact of continued alcohol consumption after a cancer diagnosis and whether they are similar to the perceptions of patients who are considered potentially curative. Methods: Patients with diverse cancer subtypes were surveyed at a comprehensive cancer centre, cross-sectionally. Specifically, palliative and non-palliative cancer patients were asked about their perceptions on the benefits/harms of continued drinking on cancer-related quality of life, fatigue, and overall survival, and whether they had received information on their alcohol consumption from their health care providers. Palliative status was established by chart review. Results: Of 1049 patients, 48% were male, with median age of 58 (18-98) years; cancer sites included gastrointestinal, genitourinary, breast, thoracic, hematologic, and others; 16% were classified as being palliative at the time of survey; and 14% reported receiving counselling information on alcohol use sometime after their cancer diagnosis. Compared to curative patients, palliative patients were more likely to perceive continued alcohol consumption as harmful to their fatigue (OR=1.39, P=0.05) and survival (OR=1.45, P=0.03), but less so on quality of life (OR=1.16, P=0.35). When compared to those who had not been counselled, informed patients were twice as likely (OR=2.01, P<0.01) to perceive continued drinking as harmful to their levels of fatigue, although there was less of a difference in their perception of quality of life (OR =1.39, P=0.20) and survival (OR=1.40, P=0.19). Conclusions: Palliative patients are more likely to perceive continued alcohol consumption as harmful to their fatigue and overall survival, when compared to non-palliative patients, especially after receiving counselling. Given the lack of data on the benefits or harm of mild-moderate alcohol use and a strong emphasis on quality of life, future research should focus on effects of alcohol in palliative patients, and there should be improved education to both providers and patients on regarding the current lack of information.

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)0.008
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.506
GPT teacher head0.631
Teacher spread0.125 · 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
Published2017
Admission routes1
Has abstractyes

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