Evidence map›Paper›PMID 28388645›Full record

ArticlePloS one2017

Combining clinical and genomics queries using i2b2 - Three methods.

Shawn N Murphy, Paul Avillach, Riccardo Bellazzi, Lori Phillips, Matteo Gabetta, Alal Eran, Michael T McDuffie, Isaac S Kohane

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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

12 citing papers in PubMed.

  1. Article
  2. Research data warehouse best practices: catalyzing national data sharing through informatics innovation.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Enhancing the Representational Power of i2b2 through Referent Tracking.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
    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

8 authors.

Shawn N MurphyResearch IS and Computing, Partners HealthCare, Charlestown, Massachusetts, United States of America.
Paul AvillachDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
Riccardo BellazziDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Lori PhillipsResearch IS and Computing, Partners HealthCare, Charlestown, Massachusetts, United States of America.
Matteo GabettaDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Alal EranDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
Michael T McDuffieDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
Isaac S KohaneDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.

Funding

Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
TrainingU54HG007963 · NHGRI · HARVARD MEDICAL SCHOOL · PI KOHANE, ISAAC S., MURPHY, SHAWN N · 2014 to 2018
$18.3M
Developing i2b2 into a Health Innovation Platform for Clinical Decision Support in the Genomics EraR01HG009174 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI ARONSON, SAMUEL JEFFREY, MACRAE, CALUM A. · 2016 to 2019
$2.9M
mi2b2 Enabled Pediatric Radiological Decision SupportR01EB014947 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI GRANT, PATRICIA ELLEN, HIRSCHTICK, RANDY L · 2012 to 2015
$2.8M
NHGRI NIH HHS R01 HG009174NHGRI NIH HHS U54 HG007963NIBIB NIH HHS R01 EB014947NLM NIH HHS U54 LM008748
6 · The paper itself

Abstract

We are fortunate to be living in an era of twin biomedical data surges: a burgeoning representation of human phenotypes in the medical records of our healthcare systems, and high-throughput sequencing making rapid technological advances. The difficulty representing genomic data and its annotations has almost by itself led to the recognition of a biomedical "Big Data" challenge, and the complexity of healthcare data only compounds the problem to the point that coherent representation of both systems on the same platform seems insuperably difficult. We investigated the capability for complex, integrative genomic and clinical queries to be supported in the Informatics for Integrating Biology and the Bedside (i2b2) translational software package. Three different data integration approaches were developed: The first is based on Sequence Ontology, the second is based on the tranSMART engine, and the third on CouchDB. These novel methods for representing and querying complex genomic and clinical data on the i2b2 platform are available today for advancing precision medicine.

Indexed as

GenomicsSoftwareSystems IntegrationHumansPolymorphism, Single NucleotideProgramming Languages

Identifiers

PMID28388645
PMCPMC5384666

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.