Evidence map›Paper›PMID 24985530›Full record

ArticleDrug safety2014

Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest.

Richard D Boyce, Patrick B Ryan, G Niklas Norén, Martijn J Schuemie, Christian Reich, Jon Duke, Nicholas P Tatonetti, Gianluca Trifirò, Rave Harpaz, J Marc Overhage and 6 more

Abstract read
In one paragraph

Article in Drug safety, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Review
  8. iDISK: the integrated DIetary Supplements Knowledge base.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  9. Exploring Novel Computable Knowledge in Structured Drug Product Labels.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Frontiers in pharmacology · 2018
    Article
  15. Identifying natural health product and dietary supplement information within adverse event reporting systems.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2018
    Article
  16. Representing Knowledge Consistently Across Health Systems.Yearbook of medical informatics · 2017
    Review
  17. Article
  18. Article
  19. Article
  20. 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

16 authors.

Richard D BoyceUniversity of Pittsburgh, Pittsburgh, PA, USA, rdb20@pitt.edu.
Patrick B Ryan
G Niklas Norén
Martijn J Schuemie
Christian Reich
Jon Duke
Nicholas P Tatonetti
Gianluca Trifirò
Rave Harpaz
J Marc Overhage
Abraham G Hartzema
Mark Khayter
Erica A Voss
Christophe G Lambert
Vojtech Huser
Michel Dumontier

Funding

Drug Effect Discovery Through Data Mining and Integrative Chemical BiologyR01GM107145 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TATONETTI, NICHOLAS P · 2014 to 2018
$2.5M
Addressing gaps in clinically useful evidence on drug-drug interactionsR01LM011838 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BOYCE, RICHARD DAVID · 2014 to 2017
$1.6M
Improving medication safety for nursing home residents prescribed psychotropic drK01AG044433 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BOYCE, RICHARD DAVID · 2014 to 2016
$342k
Improving the Clinical Research Informatics and Clinical Bioinformatics Infrastructure at the NIH Clinical CenterZIACL000907 · CLC · CLINICAL CENTER · PI HUSER, VOJTECH · 2014 to 2014
$0k
Intramural NIH HHSNIA NIH HHS K01 AG044433NIA NIH HHS K01AG044433NIGMS NIH HHS R01 GM107145NLM NIH HHS 1R01LM011838-01NLM NIH HHS R01 LM011838
6 · The paper itself

Abstract

The entire drug safety enterprise has a need to search, retrieve, evaluate, and synthesize scientific evidence more efficiently. This discovery and synthesis process would be greatly accelerated through access to a common framework that brings all relevant information sources together within a standardized structure. This presents an opportunity to establish an open-source community effort to develop a global knowledge base, one that brings together and standardizes all available information for all drugs and all health outcomes of interest (HOIs) from all electronic sources pertinent to drug safety. To make this vision a reality, we have established a workgroup within the Observational Health Data Sciences and Informatics (OHDSI, http://ohdsi.org) collaborative. The workgroup's mission is to develop an open-source standardized knowledge base for the effects of medical products and an efficient procedure for maintaining and expanding it. The knowledge base will make it simpler for practitioners to access, retrieve, and synthesize evidence so that they can reach a rigorous and accurate assessment of causal relationships between a given drug and HOI. Development of the knowledge base will proceed with the measureable goal of supporting an efficient and thorough evidence-based assessment of the effects of 1,000 active ingredients across 100 HOIs. This non-trivial task will result in a high-quality and generally applicable drug safety knowledge base. It will also yield a reference standard of drug-HOI pairs that will enable more advanced methodological research that empirically evaluates the performance of drug safety analysis methods.

Indexed as

Evidence-Based MedicineDatabases, PharmaceuticalHumansReference Standards

Identifiers

PMID24985530
PMCPMC4134480

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.