Evidence map›Paper›PMID 33733932›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2021

Comparison of Decision Modeling Approaches for Health Technology and Policy Evaluation.

John Graves, Shawn Garbett, Zilu Zhou, Jonathan S Schildcrout, Josh Peterson

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 5 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

21 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Can polygenic risk scores contribute to cost-effective cancer screening? A systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Pooled it
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  13. Weight Status Transitions and Validation of an Obesity Model for Aboriginal and Torres Strait Islander Children and Adolescents.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  14. Article
  15. Modeling Disability-Adjusted Life-Years for Policy and Decision Analysis.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
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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

5 authors.

John GravesDepartment of Health Policy, Vanderbilt University School of Medicine Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-8954-8202
Shawn GarbettDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Zilu ZhouDepartment of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA.
Jonathan S SchildcroutDepartment of Biostatistics, Vanderbilt University School of Medicine Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0003-2276-2551
Josh PetersonDepartment of Biomedical Informatics, Vanderbilt University School of Medicine Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

Rational Integration of clinical SEquencing (RISE) - Administrative Supplement for Genomics in Health and Wellness MeetingR01HG009694 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HAO, JING, PETERSON, JOSEPH F. · 2017 to 2020
$3.4M
Rational Integration of Genomic Healthcare Testing (RIGHT)U01HL122904 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GRAVES, JOHN A., PETERSON, JOSEPH F. · 2013 to 2016
$1.9M
NHGRI NIH HHS R01 HG009694NHLBI NIH HHS U01 HL122904
6 · The paper itself

Abstract

We discuss tradeoffs and errors associated with approaches to modeling health economic decisions. Through an application in pharmacogenomic (PGx) testing to guide drug selection for individuals with a genetic variant, we assessed model accuracy, optimal decisions, and computation time for an identical decision scenario modeled 4 ways: using 1) coupled-time differential equations (DEQ), 2) a cohort-based discrete-time state transition model (MARKOV), 3) an individual discrete-time state transition microsimulation model (MICROSIM), and 4) discrete event simulation (DES). Relative to DEQ, the net monetary benefit for PGx testing (v. a reference strategy of no testing) based on MARKOV with rate-to-probability conversions using commonly used formulas resulted in different optimal decisions. MARKOV was nearly identical to DEQ when transition probabilities were embedded using a transition intensity matrix. Among stochastic models, DES model outputs converged to DEQ with substantially fewer simulated patients (1 million) v. MICROSIM (1 billion). Overall, properly embedded Markov models provided the most favorable mix of accuracy and runtime but introduced additional complexity for calculating cost and quality-adjusted life year outcomes due to the inclusion of "jumpover" states after proper embedding of transition probabilities. Among stochastic models, DES offered the most favorable mix of accuracy, reliability, and speed.

Indexed as

Biomedical TechnologyDecision Support TechniquesCost-Benefit AnalysisHumansMarkov ChainsPolicyReproducibility of Resultsdecision modelinghealth economic methodspharmacogenomics

Identifiers

PMID33733932
PMCPMC9181506

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.