Evidence map›Paper›PMID 22549287›Full record

ReviewClinical pharmacology and therapeutics2012

Translational bioinformatics: linking the molecular world to the clinical world.

R B Altman

Abstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 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. Cancer Metastasis: Therapeutic Challenges and Opportunities.Medical oncology (Northwood, London, England) · 2025
    Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Identifying natural health product and dietary supplement information within adverse event reporting systems.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Applications of systems approaches in the study of rheumatic diseases.The Korean journal of internal medicine · 2015
    Review
  15. Systems approaches evolve clinical pharmacology.CPT: pharmacometrics & systems pharmacology · 2013
    Article
  16. Article
  17. Article
  18. CPT: Pharmacometrics and Systems Pharmacology.CPT: pharmacometrics & systems pharmacology · 2012
    Article
  19. 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

1 author.

R B AltmanDepartment of Bioengineering, Stanford University, Stanford, California, USA. russ.altman@stanford.edu

Funding

PharmGKB: pharmacogenomics knowledge for precision medicineR24GM061374 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO, KLEIN, TERI ELLEN · 2010 to 2018
$25.2M
Text Mining for High-fidelity Curation and Discovery of Gene-drug-phenotype RelationshipsR01LM005652 · NLM · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO · 2000 to 2018
$6.2M
NIGMS NIH HHS R24 GM061374NLM NIH HHS R01 LM005652
6 · The paper itself

Abstract

Translational bioinformatics represents the union of translational medicine and bioinformatics. Translational medicine moves basic biological discoveries from the research bench into the patient-care setting and uses clinical observations to inform basic biology. It focuses on patient care, including the creation of new diagnostics, prognostics, prevention strategies, and therapies based on biological discoveries. Bioinformatics involves algorithms to represent, store, and analyze basic biological data, including DNA sequence, RNA expression, and protein and small-molecule abundance within cells. Translational bioinformatics spans these two fields; it involves the development of algorithms to analyze basic molecular and cellular data with an explicit goal of affecting clinical care.

Indexed as

Artificial IntelligenceComputational BiologyDrug TherapyGenetic PrivacyGenomicsHumansPathology, MolecularPharmacologyPrognosisPublic HealthPubMedSystems BiologyTranslational Research, BiomedicalUnited States

Identifiers

PMID22549287
PMCPMC4154360

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.