Evidence map›Paper›PMID 23037935›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2013

Getting our priorities straight: a novel framework for stakeholder-informed prioritization of cancer genomics research.

Laura C Esmail, Josh Roth, Sneha Rangarao, Josh J Carlson, Rahber Thariani, Scott D Ramsey, David L Veenstra, Patricia Deverka

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Integrating stakeholder feedback in translational genomics research: an ethnographic analysis of a study protocol's evolution.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Article
  5. Article
  6. 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

8 authors.

Laura C EsmailCenter for Medical Technology Policy, Baltimore, MD, USA. laura.esmail@gmail.com
Josh Roth
Sneha Rangarao
Josh J Carlson
Rahber Thariani
Scott D Ramsey
David L Veenstra
Patricia Deverka

Funding

Center for Comparative Effectiveness Research in Cancer Genomics - CANCERGENRC2CA148570 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RAMSEY, SCOTT D. · 2009 to 2009
$2.0M
NCI NIH HHS RC2 CA148570
6 · The paper itself

Abstract

purposePrioritization of translational research on genomic tests is critically important given the rapid pace of innovation in genomics. The goal of this study was to evaluate a stakeholder-informed priority-setting framework in cancer genomics.

methodsAn external stakeholder advisory group including patients/consumers, payers, clinicians, and test developers used a modified Delphi approach to prioritize six candidate cancer genomic technologies during a 1-day meeting. Nine qualitative priority-setting criteria were considered. We used a directed, qualitative content-analysis approach to investigate the themes of the meeting discussion.

resultsStakeholders primarily discussed six of the original nine criteria: clinical benefits, population health impacts, economic impacts, analytical and clinical validity, clinical trial implementation and feasibility, and market factors. Several new priority-setting criteria were identified from the workshop transcript, including "patient-reported outcomes," "clinical trial ethics," and "trial recruitment." The new criteria were incorporated with prespecified criteria to develop a novel priority-setting framework.

conclusionThis study highlights key criteria that stakeholders can consider when prioritizing comparative effectiveness research for cancer genomic applications. Applying an explicit priority-setting framework to inform investment in comparative effectiveness research can help to ensure that critical factors are weighed when deciding between many potential research questions and trial designs.

Indexed as

Biomarkers, TumorBreast NeoplasmsCarcinoma, Non-Small-Cell LungColorectal NeoplasmsComparative Effectiveness ResearchDNA-Binding ProteinsEndonucleasesErbB ReceptorsFemaleGene Expression Regulation, NeoplasticGenetic TestingGenomicsHealth PrioritiesHumansLung NeoplasmsMutationBiomarkers, TumorBRAF protein, humanDNA-Binding ProteinsEGFR protein, humanEndonucleasesErbB ReceptorsERCC1 protein, humanProto-Oncogene Proteins B-raf

Identifiers

PMID23037935
PMCPMC4479129

What OpenQuestion holds

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LicenceTDM
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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.