Evidence map›Paper›PMID 27012232›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2016

Development and Evaluation of an Approach to Using Value of Information Analyses for Real-Time Prioritization Decisions Within SWOG, a Large Cancer Clinical Trials Cooperative Group.

Caroline S Bennette, David L Veenstra, Anirban Basu, Laurence H Baker, Scott D Ramsey, Josh J Carlson

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
16.3field-weighted citation impact, top 1% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. 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
  7. Article
  8. Article
  9. Value of Information Analytical Methods: Report 2 of the ISPOR Value of Information Analysis Emerging Good Practices Task Force.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. 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
  14. Article
  15. Article
  16. Regulator Loss Functions and Hierarchical Modeling for Safety Decision Making.Medical decision making : an international journal of the Society for Medical Decision Making · 2017
    Article
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

6 authors at 2 institutions in 1 country.

Caroline S BennetteDepartments of Pharmacy, University of Washington, Seattle, Washington (CSB, DLV, JJC),
David L VeenstraDepartments of Pharmacy, University of Washington, Seattle, Washington (CSB, DLV, JJC),
Anirban BasuWashington Health Services, University of Washington, Seattle, Washington (AB)
Laurence H BakerUniversity of Michigan, Ann Arbor, Michigan (LHB)
Scott D RamseyHutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Research Center, Seattle, Washington (SDR).
Josh J CarlsonDepartments of Pharmacy, University of Washington, Seattle, Washington (CSB, DLV, JJC),
Fred Hutch Cancer Center · USUniversity of Washington · US

Funding

SWOG NCORP Research BaseUG1CA189974 · NCI · THE HOPE FOUNDATION · PI CHARLES D. BLANKE, DAWN HERSHMAN · 2014 to 2026
$80.6M
Prioritizing research: evaluation of a portfolio management approach in clinicalR36HS023340 · AHRQ · UNIVERSITY OF WASHINGTON · PI BENNETTE, CAROLINE SAVAGE · 2014 to 2014
$38k
AHRQ HHS R36 HS023340NCI NIH HHS UG1 CA189974
6 · The paper itself

Abstract

objectiveValue of information (VOI) analyses can align research with areas with the greatest potential impact on patient outcome, but questions remain concerning the feasibility and acceptability of these approaches to inform prioritization decisions. Our objective was to develop a process for calculating VOI in "real time" to inform trial funding decisions within SWOG, a large cancer clinical trials group.

methodsWe developed an efficient and scalable VOI modeling approach using a selected sample of 9 randomized phase II/III trial proposals from the Breast, Gastrointestinal, and Genitourinary Disease Committees reviewed by SWOG's leadership between 2008 and 2013. There was bidirectional communication between SWOG investigators and the research team throughout the modeling development. Partial expected value of sample information for the treatment effect evaluated by the proposed trial's primary endpoint was calculated using Monte Carlo simulation.

resultsWe derived prior uncertainty in the treatment effect estimate from the sample size calculations. Our process was feasible for 8 of 9 trial proposals and efficient: the time required of 1 researcher was <1 week per proposal. We accommodated stakeholder input primarily by deconstructing VOI metrics into expected health benefits and incremental healthcare costs and assuming treatment decisions within our simulations were based on health benefits. Following customization, feedback from over 200 SWOG members was positive regarding the overall VOI framework, specific retrospective results, and potential for VOI analyses to inform future trial proposal evaluations.

conclusionsWe developed an efficient and customized process to calculate the expected VOI of cancer clinical trials that is feasible for use in decision making and acceptable to investigators. Prospective use and evaluation of this approach is currently underway within SWOG.

Indexed as

Clinical Trials as TopicDecision MakingHumansNeoplasmsSample Sizedetailed methodologyqualitative methodsresource allocationvalue of information

Identifiers

PMID27012232
PMCPMC5963256
OpenAlexW2323820853

What OpenQuestion holds

Textmetadata
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.