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Awareness among patients with cancer of the harms of continued smoking.

2017· article· en· W2601243611 on OpenAlex
Lawson Eng, Devon Alton, Jiahua Che, Yuyao Song, Jie Su, Delaram Farzanfar, Rahul Mohan, Olivia Krys, Tom Yoannidis, Robin Milne, M. Catherine Brown, Ashlee Vennettilli, Andrew Hope, Doris Howell, Jennifer M. Jones, Peter Selby, Wei Xu, David P. Goldstein, Meredith Giuliani, Geoffrey Liu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Clinical Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicMultiple and Secondary Primary Cancers
Canadian institutionsCentre for Addiction and Mental HealthUniversity Health NetworkOntario Institute for Cancer ResearchPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineLung cancerCancerSurvivorship curveSmoking cessationLogistic regressionInternal medicineCancer survivorshipRadiation therapyHead and neck cancerPathology

Abstract

fetched live from OpenAlex

179 Background: Smoking cessation is becoming an integral part of cancer survivorship. To help improve survivorship education, clinicians need an understanding of patient knowledge of the harms of continued smoking. Methods: Patients with various cancer subtypes were surveyed with respect to self-awareness of the harms of continued smoking on cancer outcomes. Multivariable logistic regression models assessed factors associated with the level of awareness. Results: Among 985 patients, 23% smoked at diagnosis; 34% quit > 1 year prior to diagnosis; 25% had lung, 30% had head and neck cancers; 77% received curative therapy. Many patients reported being unaware that smoking can negatively impact cancer surgery (65%), radiation (74%), chemo outcomes (64%), treatment efficacy (70%), cancer prognosis (54%) and second primary development (52%). Among all patients, those smoking at diagnosis were significantly more likely to be unaware of radiation (aOR = 1.73, 95% CI [1.16-2.57]) and chemo (aOR = 2.10 [1.17-3.79]) toxicities, cancer prognosis (aOR = 1.63 [1.16-2.29]) and second primary risk (aOR = 1.61 [1.14-2.26]). Those with poorer health status were more likely unaware of effects on prognosis (aOR = 1.56 [1.18-2.08]) and second primaries (aOR = 1.54 [1.14-2.08]). Patients with non-tobacco related cancers (non-TRCs) were more likely unaware smoking impacts cancer surgery (aOR = 1.45 [1.04-2.04]) and radiation (aOR = 1.37 [1.01-1.85]). Among smokers at diagnosis, those with non-TRCs (aOR = 4.00 [1.45-11.11]) were more likely unaware smoking can impact chemo outcomes. Awareness was not associated with stage, second-hand smoke exposure, cessation or interest in a smoking cessation program (SCP), but was associated with patients believing that a SCP would be beneficial to their health (aORs = 2.33-4.35, P < 0.03). Among smokers at diagnosis, believing that a SCP is beneficial (51%) was associated with both interest in an in-patient (aOR = 4.65 [2.15-10.03]) and ambulatory (aOR = 4.08 [2.14-7.79]) SCP. Conclusions: Many cancer patients were unaware of the harms of continued smoking; mainly smokers at diagnosis and those with non-TRCs. Patient education should focus on emphasizing awareness, which may help improve patient interest in smoking cessation.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.052
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.112
GPT teacher head0.460
Teacher spread0.348 · 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