Evidence map›Paper›PMID 22516979›Full record

ReviewGenetics in medicine : official journal of the American College of Medical Genetics2012

Building the evidence base for decision making in cancer genomic medicine using comparative effectiveness research.

Katrina A B Goddard, William A Knaus, Evelyn Whitlock, Gary H Lyman, Heather Spencer Feigelson, Sheri D Schully, Scott Ramsey, Sean Tunis, Andrew N Freedman, Muin J Khoury and 1 more

Abstract readReview
In one paragraph

Review in Genetics in medicine : official journal of the American College of Medical Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Causal Inference in the Age of Decision Medicine.Journal of data mining in genomics & proteomics · 2015
    Article
  8. Review
  9. Review
  10. Stakeholder engagement: a key component of integrating genomic information into electronic health records.Genetics in medicine : official journal of the American College of Medical Genetics · 2013
    Review
  11. Article
  12. Article
  13. Article
  14. How can polygenic inheritance be used in population screening for common diseases?Genetics in medicine : official journal of the American College of Medical Genetics · 2013
    Review
  15. Article
  16. The arrival of genomic medicine to the clinic is only the beginning of the journey.Genetics in medicine : official journal of the American College of Medical Genetics · 2013
    Article
  17. Getting our priorities straight: a novel framework for stakeholder-informed prioritization of cancer genomics research.Genetics in medicine : official journal of the American College of Medical Genetics · 2013
    Article
  18. Comparative effectiveness research, genomics-enabled personalized medicine, and rapid learning health care: a common bond.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2012
    Review
  19. Knowledge integration at the center of genomic medicine.Genetics in medicine : official journal of the American College of Medical Genetics · 2012
    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

11 authors.

Katrina A B GoddardCenter for Health Research, Kaiser Permanente Northwest, Portland, OR, USA. katrina.ab.goddard@kpchr.org
William A Knaus
Evelyn Whitlock
Gary H Lyman
Heather Spencer Feigelson
Sheri D Schully
Scott Ramsey
Sean Tunis
Andrew N Freedman
Muin J Khoury
David L Veenstra

Funding

Pharmacogenetics in Rural and Underserved PopulationsU01GM092676 · NIGMS · UNIVERSITY OF WASHINGTON · PI BURKE, WYLIE G., THUMMEL, KENNETH E. · 2010 to 2014
$9.9M
Genomic Health Care and the Medically UnderservedP50HG003374 · NHGRI · UNIVERSITY OF WASHINGTON · PI BURKE, WYLIE G. · 2004 to 2014
$9.8M
Center for Comparative Effectiveness Research in Cancer Genomics - CANCERGENRC2CA148570 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RAMSEY, SCOTT D. · 2009 to 2009
$2.0M
Comparative effectiveness in genomic & personalized medicine for colon cancerRC2CA148471 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI GODDARD, KATRINA A., KUSHI, LAWRENCE H · 2009 to 2009
$2.0M
Programs in Clinical Effectiveness of Cancer PharmacogenomicsRC2CA148041 · NCI · DUKE UNIVERSITY · PI GINSBURG, GEOFFREY S · 2009 to 2009
$2.0M
Comparative effectiveness in genomic & personalized medicine for colon cancerUC2CA148471 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI GODDARD, KATRINA A., KUSHI, LAWRENCE H · 2010 to 2010
$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
Building a Genome Enabled Electronic Medical RecordUC2CA150911 · NCI · UNIVERSITY OF VIRGINIA · PI COHN, WENDY F, KNAUS, WILLIAM A · 2010 to 2010
$1.6M
NCI NIH HHS RC2 CA148041NCI NIH HHS RC2CA148041-01NCI NIH HHS RC2 CA148471NCI NIH HHS RC2 CA148570NCI NIH HHS RC2CA148570NCI NIH HHS RC2 CA148570-01NCI NIH HHS UC2 CA148471NCI NIH HHS UC2 CA148570NCI NIH HHS UC2 CA150911NCI NIH HHS UC2CA150911NHGRI NIH HHS P50 HG003374NHGRI NIH HHS P50HG003374NIGMS NIH HHS U01 GM092676NIGMS NIH HHS U01GM092676OGDP CDC HHS 5U18-GD000005-02OGDP CDC HHS U18 GD000005OGDP CDC HHS U18GD000005
6 · The paper itself

Abstract

The clinical utility is uncertain for many cancer genomic applications. Comparative effectiveness research (CER) can provide evidence to clarify this uncertainty. The aim of this study was to identify approaches to help stakeholders make evidence-based decisions and to describe potential challenges and opportunities in using CER to produce evidence-based guidance. We identified general CER approaches for genomic applications through literature review, the authors' experiences, and lessons learned from a recent, seven-site CER initiative in cancer genomic medicine. Case studies illustrate the use of CER approaches. Evidence generation and synthesis approaches used in CER include comparative observational and randomized trials, patient-reported outcomes, decision modeling, and economic analysis. Significant challenges to conducting CER in cancer genomics include the rapid pace of innovation, lack of regulation, and variable definitions and evidence thresholds for clinical and personal utility. Opportunities to capitalize on CER methods in cancer genomics include improvements in the conduct of evidence synthesis, stakeholder engagement, increasing the number of comparative studies, and developing approaches to inform clinical guidelines and research prioritization. CER offers a variety of methodological approaches that can address stakeholders' needs and help ensure an effective translation of genomic discoveries.

Indexed as

Decision MakingEvidence-Based MedicineComparative Effectiveness ResearchGenomicsHumansNeoplasmsRandomized Controlled Trials as TopicReproducibility of ResultsRisk Assessment

Identifiers

PMID22516979
PMCPMC3632438

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.