Evidence map›Paper›PMID 22890354›Full record

ReviewYearbook of medical informatics2012

Translational bioinformatics embraces big data.

N H Shah

Open access · bronzeAbstract readReview
PubMed Full text at PMC
In one paragraph

Review in Yearbook of medical informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. "Big data" and the electronic health record.Yearbook of medical informatics · 2014
    Review
  9. Article
  10. Some experiences and opportunities for big data in translational research.Genetics in medicine : official journal of the American College of Medical Genetics · 2013
    Review
  11. "Drivers" of translational cancer epidemiology in the 21st century: needs and opportunities.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
    Article
  12. crcTRP: a translational research platform for colorectal cancer.Computational and mathematical methods in medicine · 2013
    Article
  13. Sharing big biomedical data.Journal of big data
    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 at 1 institution in 1 country.

N H ShahStanford University School of Medicine, 1265 Welch Road, Room X-229, Stanford, CA 94305, USA. E-mail: nigam@stanford.edu.
Stanford University · US

Funding

Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
STANFORD COMPOSITE(RMI)U54HG004028 · NHGRI · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2005 to 2014
$36.2M
NHGRI NIH HHS U54 HG004028NLM NIH HHS U54 LM008748
6 · The paper itself

Abstract

We review the latest trends and major developments in translational bioinformatics in the year 2011-2012. Our emphasis is on highlighting the key events in the field and pointing at promising research areas for the future. The key take-home points are: • Translational informatics is ready to revolutionize human health and healthcare using large-scale measurements on individuals. • Data-centric approaches that compute on massive amounts of data (often called "Big Data") to discover patterns and to make clinically relevant predictions will gain adoption. • Research that bridges the latest multimodal measurement technologies with large amounts of electronic healthcare data is increasing; and is where new breakthroughs will occur.

Indexed as

Computational BiologyForecastingHumansMedical Informatics

Identifiers

PMID22890354
PMCPMC4370941
OpenAlexW2232806625

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.