Evidence map›Paper›PMID 26961779›Full record

ArticlePharmacoEconomics2016

Discretely Integrated Condition Event (DICE) Simulation for Pharmacoeconomics.

J Jaime Caro

Abstract read
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In one paragraph

Article in PharmacoEconomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Modeling severe uncontrolled asthma: Transitioning away from health states.Contemporary clinical trials communications · 2024
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  8. Article
  9. Article
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  12. Review
  13. Article
  14. Article
  15. Comparison of Decision Modeling Approaches for Health Technology and Policy Evaluation.Medical decision making : an international journal of the Society for Medical Decision Making · 2021
    Article
  16. Article
  17. A Multidimensional Array Representation of State-Transition Model Dynamics.Medical decision making : an international journal of the Society for Medical Decision Making · 2020
    Article
  18. Article
  19. Article
  20. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

J Jaime CaroMcGill University, Montreal, Canada. jaime.caro@mcgill.ca.ORCID 0000-0001-5470-3754

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several decision-analytic modeling techniques are in use for pharmacoeconomic analyses. Discretely integrated condition event (DICE) simulation is proposed as a unifying approach that has been deliberately designed to meet the modeling requirements in a straightforward transparent way, without forcing assumptions (e.g., only one transition per cycle) or unnecessary complexity. At the core of DICE are conditions that represent aspects that persist over time. They have levels that can change and many may coexist. Events reflect instantaneous occurrences that may modify some conditions or the timing of other events. The conditions are discretely integrated with events by updating their levels at those times. Profiles of determinant values allow for differences among patients in the predictors of the disease course. Any number of valuations (e.g., utility, cost, willingness-to-pay) of conditions and events can be applied concurrently in a single run. A DICE model is conveniently specified in a series of tables that follow a consistent format and the simulation can be implemented fully in MS Excel, facilitating review and validation. DICE incorporates both state-transition (Markov) models and non-resource-constrained discrete event simulation in a single formulation; it can be executed as a cohort or a microsimulation; and deterministically or stochastically.

Indexed as

Decision Support TechniquesEconomics, PharmaceuticalModels, TheoreticalComputer SimulationHumansMarkov ChainsTime Factors

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.