Evidence map›Paper›PMID 36290826›Full record

ReviewCurrent oncology (Toronto, Ont.)2022

Lessons from Cost-Effectiveness Analysis of Smoking Cessation Programs for Cancer Patients.

Jeffrey S Hoch, Heather K Barr, Andrea M Guggenbickler, Carolyn S Dewa

Abstract readReview
In one paragraph

Review in Current oncology (Toronto, Ont.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Assessment of Quality of Life in the Early Postoperative Period in Patients with Lung Cancer.International journal of environmental research and public health · 2025
    Article
  4. The impact of smoking on lung cancer patients.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jeffrey S HochDivision of Health Policy and Management, Department of Public Health Sciences, University of California, Davis, CA 95616, USA.ORCID 0000-0002-4880-4281
Heather K BarrGraduate Group in Public Health Sciences, Department of Public Health Sciences, University of California, Davis, CA 95616, USA.
Andrea M GuggenbicklerGraduate Group in Public Health Sciences, Department of Public Health Sciences, University of California, Davis, CA 95616, USA.
Carolyn S DewaDepartment of Psychiatry and Behavioral Sciences, University of California, Davis, CA 95616, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking among patients diagnosed with cancer poses important health and financial challenges including reduced effectiveness of expensive cancer therapies. This study explores the value of smoking cessation programs (SCPs) for patients already diagnosed with cancer. It also identifies conditions under which SPCs may be wise investments.

methodsUsing a simplified decision analytic model combined with insights from a literature review, we explored the cost-effectiveness of SCPs.

resultsThe findings provide insights about the potential impact of cessation probabilities among cancer patients in SCPs and the potential impact of SCPs on cancer patients' lives.

conclusionThe evidence suggests that there is good reason to believe that SCPs are an economically attractive way to improve outcomes for cancer patients when SCPs are offered in conjunction with standard cancer care.

Indexed as

NeoplasmsSmoking CessationCost-Benefit AnalysisHumansSmokingcost-effectiveness analysiseconomic evaluationvalue of smoking cessation programs

Identifiers

PMID36290826
PMCPMC9600008

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.