Evidence map›Paper›PMID 22147853›Full record

ArticleHealth affairs (Project Hope)2011

How comparative effectiveness research can help advance 'personalized medicine' in cancer treatment.

Scott D Ramsey, David Veenstra, Sean R Tunis, Louis Garrison, John J Crowley, Laurence H Baker

Abstract read
In one paragraph

Article in Health affairs (Project Hope), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Value-of-information analysis within a stakeholder-driven research prioritization process in a US setting: an application in cancer genomics.Medical decision making : an international journal of the Society for Medical Decision Making · 2013
    Article
  9. 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
  10. Article
  11. Article
  12. Preserving Institutional Privacy in Distributed binary Logistic Regression.AMIA ... Annual Symposium proceedings. AMIA Symposium · 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

6 authors.

Scott D RamseyCancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA. sramsey@fhcrc.org
David Veenstra
Sean R Tunis
Louis Garrison
John J Crowley
Laurence H Baker

Funding

SWOG - Foreign Accrual under UMiU10CA032102 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BLANKE, CHARLES D. · 1985 to 2013
$141.3M
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 5UC2CA148570-02NCI NIH HHS U10 CA032102NCI NIH HHS UC2 CA148570
6 · The paper itself

Abstract

The use of biomarkers to "personalize" cancer treatment--identifying discrete genes, proteins, or other indicators that can differentiate one type of cancer from another and enable the use of highly tailored therapies--offers tremendous potential for improved outcomes and lower treatment costs. However, the rapid development of cancer biomarker, or genomic, tests--combined with a paucity of evidence to support the effectiveness of the tests--presents a challenge for patients, clinicians, and other stakeholders. In this article we propose that comparative effectiveness research be used to strengthen what is now a haphazard process for developing and marketing cancer biomarker tests. We suggest novel funding approaches and a systematic process for moving from regulatory approval to the generation of evidence that meets the needs of stakeholders and, ultimately, patients.

Indexed as

Comparative Effectiveness ResearchGenomicsPrecision MedicineBiomarkers, TumorClinical Trials as TopicHumansNeoplasmsUnited StatesBiomarkers, Tumor

Identifiers

PMID22147853
PMCPMC3477796

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.