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Record W2892681501 · doi:10.1200/jgo.18.26800

Cost-Effectiveness of Smoking Cessation Within a Lung Cancer Screening Program in Canada

2018· article· en· W2892681501 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Global Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsCanadian Partnership Against Cancer
Fundersnot available
KeywordsMedicineSmoking cessationLung cancer screeningVareniclineLung cancerNicotine replacement therapyAbstinenceCost effectivenessEnvironmental healthEmergency medicineInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Background: Demonstrated lung cancer mortality reductions through low-dose computed tomography (LDCT) has encouraged some jurisdictions to consider implementing organized LDCT screening. A retrospective analysis of former smokers in the National Lung Screening Trial (NLST) suggested that abstention from smoking coupled with low-dose computed tomography (LDCT) screening realized more mortality benefits than abstinence alone or LDCT alone. Aim: We evaluated the potential costs and cost-effectiveness of lung cancer screening with integrated smoking cessation using OncoSim-Lung (version 2.5), a microsimulation model led by the Canadian Partnership Against Cancer, with model development by Statistics Canada. Methods: We compared organized LDCT screening without smoking cessation to various plausible scenarios of screening with cessation. Assumptions included: annual screening of 55-74 year-old individuals with a 30-pack-yr history; a 42% participation rate reached over 10 years; cessation therapy (nicotine replacement therapy + varenicline + 12 weeks' counseling) at a cost of $490; and up to 10 cessation attempts, with a permanent quit rate of 5% per attempt. Cost-effectiveness was estimated with a lifetime horizon, health system perspective and 1.5% discount rate. Costs are in 2016 CAD. Results: OncoSim-Lung projected that LDCT screening integrated with cessation would cost approximately $76 million annually (undiscounted) from 2017 to 2036 in Canada. About 110 fewer lung cancer (LC) cases and 50 fewer LC deaths would occur annually, compared with screening without cessation. Additionally, many other smoking-related deaths would be prevented. Using a lifetime horizon, smoking cessation would cost $14,000/QALYs gained. In one-way sensitivity analysis, with a 72% participation rate there would be 260 fewer deaths, at $24,000/QALY. With a 10% quit rate, cost-effectiveness would improve to $6,000/QALY. A 50% increase in the cost of the cessation intervention would decrease cost-effectiveness to $22,000/QALY. Conclusion: Robust smoking cessation efforts within a LDCT screening program could save lives and be relatively cost-effective. Cancer control planners should consider integrating smoking cessation when implementing a lung cancer screening initiative.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
Threshold uncertainty score0.995

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 head0.035
GPT teacher head0.407
Teacher spread0.372 · 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