Evidence map›Paper›PMID 23635833›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2013

Value-of-information analysis within a stakeholder-driven research prioritization process in a US setting: an application in cancer genomics.

Josh J Carlson, Rahber Thariani, Josh Roth, Julie Gralow, N Lynn Henry, Laura Esmail, Pat Deverka, Scott D Ramsey, Laurence Baker, David L Veenstra

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Constructing Relative Effect Priors for Research Prioritization and Trial Design: A Meta-epidemiological Analysis.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
    Article
  3. Article
  4. Value of Information Analysis: Are We There Yet?PharmacoEconomics - open · 2021
    Article
  5. Article
  6. Optimal Information Collection Policies in a Markov Decision Process Framework.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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  14. Article
  15. Article
  16. Analysing coverage decision-making: opening Pandora's box?The European journal of health economics : HEPAC : health economics in prevention and care · 2014
    Article
  17. Economic analyses of genetic tests in personalized medicine: clinical utility first, then cost utility.Genetics in medicine : official journal of the American College of Medical Genetics · 2014
    Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Josh J CarlsonDepartment of Pharmacy, University of Washington, Seattle, Washington (JJC, RT, JR, JG, DLV)
Rahber TharianiDepartment of Pharmacy, University of Washington, Seattle, Washington (JJC, RT, JR, JG, DLV)
Josh RothDepartment of Pharmacy, University of Washington, Seattle, Washington (JJC, RT, JR, JG, DLV)
Julie GralowDepartment of Pharmacy, University of Washington, Seattle, Washington (JJC, RT, JR, JG, DLV)
N Lynn HenrySWOG and University of Michigan Medical School, Ann Arbor, Michigan (NLH, LB)
Laura EsmailCenter for Medical Technology Policy, Baltimore, Maryland (LE, PD)
Pat DeverkaCenter for Medical Technology Policy, Baltimore, Maryland (LE, PD)
Scott D RamseyFred Hutchinson Cancer Research Center, University of Washington, Seattle, Washington (SDR)
Laurence BakerSWOG and University of Michigan Medical School, Ann Arbor, Michigan (NLH, LB)
David L VeenstraDepartment of Pharmacy, University of Washington, Seattle, Washington (JJC, RT, JR, JG, DLV)

Funding

Tissue and Pathology ResourcesU54CA168512 · NCI · SARC · PI REINKE, DENISE · 2012 to 2016
$11.0M
Center for Comparative Effectiveness Research in Cancer Genomics - CANCERGENRC2CA148570 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RAMSEY, SCOTT D. · 2009 to 2009
$2.0M
Center for Comparative Effectiveness Research in Cancer Genomics - CANCERGENUC2CA148570 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RAMSEY, SCOTT D. · 2010 to 2010
$2.0M
NCI NIH HHS CA148570NCI NIH HHS RC2 CA148570NCI NIH HHS U54 CA168512NCI NIH HHS UC2 CA148570OGDP CDC HHS 1U18GD000005OGDP CDC HHS GD000005OGDP CDC HHS U18 GD000005
6 · The paper itself

Abstract

objectiveThe objective of this study was to evaluate the feasibility and outcomes of incorporating value-of-information (VOI) analysis into a stakeholder-driven research prioritization process in a US-based setting.

methods. Within a program to prioritize comparative effectiveness research areas in cancer genomics, over a period of 7 months, we developed decision-analytic models and calculated upper-bound VOI estimates for 3 previously selected genomic tests. Thirteen stakeholders representing patient advocates, payers, test developers, regulators, policy makers, and community-based oncologists ranked the tests before and after receiving VOI results. The stakeholders were surveyed about the usefulness and impact of the VOI findings.

resultsThe estimated upper-bound VOI ranged from $33 million to $2.8 billion for the 3 research areas. Seven stakeholders indicated the results modified their rankings, 9 stated VOI data were useful, and all indicated they would support its use in future prioritization processes. Some stakeholders indicated expected value of sampled information might be the preferred choice when evaluating specific STUDY

designLimitations. Our study was limited by the size and the potential for selection bias in the composition of the external stakeholder group, lack of a randomized design to assess effect of VOI data on rankings, and the use of expected value of perfect information v. expected value of sample information methods.

conclusionsValue of information analyses may have a meaningful role in research topic prioritization for comparative effectiveness research in the United States, particularly when large differences in VOI across topic areas are identified. Additional research is needed to facilitate the use of more complex value of information analyses in this setting.

Indexed as

GenomicsInformation ServicesResearchBiomarkers, TumorHumansNeoplasmsUnited StatesBiomarkers, Tumordecision analysiseconomic analysisvalue of information

Identifiers

PMID23635833
PMCPMC3933300

What OpenQuestion holds

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LicenceTDM
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.