Evidence map›Paper›PMID 22591112›Full record

SynthesisPharmacoEconomics2012

Economic evaluation of smoking-cessation therapies: a critical and systematic review of simulation models.

Kristian Bolin

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in PharmacoEconomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Long-Term Cost-Effectiveness of Smoking Cessation Interventions in People With Mental Disorders: A Dynamic Decision Analytical Model.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2021
    Article
  6. Article
  7. Article
  8. Article
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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

1 author.

Kristian BolinDepartment of Economics, Lund University, Lund, Sweden. Kristian.Bolin@nek.lu.se

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking is probably the most important among preventable health risks. Health economic evaluation of smoking-cessation interventions, applying a lifetime perspective, is made possible by available epidemiological knowledge. The well established method of performing cost-effectiveness analyses of smoking-cessation interventions involves mathematical modelling (both deterministic and stochastic) of future events important for cost effectiveness.

objectivesThis study surveys cost-effectiveness analyses of smoking cessation, with a particular focus on the mathematical modelling and simulation analyses performed. DATA SOURCES: A systematic literature search was performed using the databases MEDLINE, Econlit and Academic Search Complete. STUDY SELECTION: Health economic evaluations, published as full-length journal articles, were searched for.

results423 studies were identified and 78 were finally included, of which 30 were assessed as being highly relevant, based on the application of simulation modelling.

conclusionsIn general, studies are well performed as regards modelling. Common weaknesses include reporting of modelling details; validation of used simulation models; and the handling of structural uncertainty and different types of heterogeneity.

Indexed as

Computer SimulationCost-Benefit AnalysisData Interpretation, StatisticalHumansMarkov ChainsModels, EconomicModels, StatisticalQuality-Adjusted Life YearsSmoking Cessation

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.