Evidence map›Paper›PMID 20144313›Full record

ReviewJournal of diabetes science and technology2009

The case for personalized medicine.

Edward Abrahams, Mike Silver

Abstract readReview
In one paragraph

Review in Journal of diabetes science and technology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Treating Cardiovascular Disorders with Personalized Medicine.Cardiovascular & hematological disorders drug targets · 2025
    Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Guidance for pharmacogenomic biomarker testing in labels of FDA-approved drugs.Genetics in medicine : official journal of the American College of Medical Genetics · 2015
    Article
  9. Review
  10. Review
  11. The personalized medicine for diabetes meeting summary report.Journal of diabetes science and technology · 2009
    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

2 authors.

Edward AbrahamsPersonalized Medicine Coalition, Washington, DC 20005, USA. eabrahams@personalizedmedicinecoalition.org
Mike Silver

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalized medicine may be considered an extension of traditional approaches to understanding and treating disease, but with greater precision. Physicians may now use a patient's genetic variation or expression profile as well as protein and metabolic markers to guide the selection of certain drugs or treatments. In many cases, the information provided by molecular markers predicts susceptibility to conditions. The added precision introduces the possibility of a more preventive, effective approach to clinical care and reductions in the duration and cost of clinical trials. Here, we make the case, through real-world examples, that personalized medicine is delivering significant value to individuals, to industry, and to the health care system overall and that it will continue to grow in importance if we can lift the barriers that impede its adoption and build incentives to encourage its practice.

Indexed as

PharmacogeneticsPrecision MedicineGenome, HumanHumansPatient Compliance

Identifiers

PMID20144313
PMCPMC2769975

What OpenQuestion holds

Textmetadata
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.