Evidence map›Paper›PMID 25556085›Full record

ArticleDrug safety2015

Consensus recommendations for systematic evaluation of drug-drug interaction evidence for clinical decision support.

Richard T Scheife, Lisa E Hines, Richard D Boyce, Sophie P Chung, Jeremiah D Momper, Christine D Sommer, Darrell R Abernethy, John R Horn, Stephen J Sklar, Samantha K Wong and 8 more

Abstract readConsensus Statement
In one paragraph

Article in Drug safety, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 6 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

76 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

16 more citing papers are in PubMed but not listed here.

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

18 authors.

Richard T ScheifeTufts University School of Medicine, Boston, MA, USA.
Lisa E Hines
Richard D Boyce
Sophie P Chung
Jeremiah D Momper
Christine D Sommer
Darrell R Abernethy
John R Horn
Stephen J Sklar
Samantha K Wong
Gretchen Jones
Mary L Brown
Amy J Grizzle
Susan Comes
Tricia Lee Wilkins
Clarissa Borst
Michael A Wittie
Daniel C Malone

Funding

The University of Pittsburgh's Comparative Effectiveness Research Scholars PrograK12HS019461 · AHRQ · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAPOOR, WISHWA N · 2010 to 2010
$1.9M
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
Drug-Drug Interaction Clinical Decision Support Conference SeriesR13HS021826 · AHRQ · UNIVERSITY OF ARIZONA · PI MALONE, DANIEL C · 2012 to 2014
$288k
AHRQ HHS 1R13HS021826-01AHRQ HHS K12 HS019461AHRQ HHS K12 HS019461-01AHRQ HHS R13 HS021826NIA NIH HHS K01 AG044433NIA NIH HHS K01 AG044433-01NLM NIH HHS R01 LM011838NLM NIH HHS R01 LM011838-01
6 · The paper itself

Abstract

backgroundHealthcare organizations, compendia, and drug knowledgebase vendors use varying methods to evaluate and synthesize evidence on drug-drug interactions (DDIs). This situation has a negative effect on electronic prescribing and medication information systems that warn clinicians of potentially harmful medication combinations.

objectiveThe aim of this study was to provide recommendations for systematic evaluation of evidence for DDIs from the scientific literature, drug product labeling, and regulatory documents.

methodsA conference series was conducted to develop a structured process to improve the quality of DDI alerting systems. Three expert workgroups were assembled to address the goals of the conference. The Evidence Workgroup consisted of 18 individuals with expertise in pharmacology, drug information, biomedical informatics, and clinical decision support. Workgroup members met via webinar 12 times from January 2013 to February 2014. Two in-person meetings were conducted in May and September 2013 to reach consensus on recommendations.

resultsWe developed expert consensus answers to the following three key questions. (i) What is the best approach to evaluate DDI evidence? (ii) What evidence is required for a DDI to be applicable to an entire class of drugs? (iii) How should a structured evaluation process be vetted and validated?

conclusionEvidence-based decision support for DDIs requires consistent application of transparent and systematic methods to evaluate the evidence. Drug compendia and clinical decision support systems in which these recommendations are implemented should be able to provide higher-quality information about DDIs.

Indexed as

Drug InteractionsElectronic PrescribingAdverse Drug Reaction Reporting SystemsDatabases, FactualDecision Support Systems, ClinicalDrug LabelingEvidence-Based MedicinePractice Guidelines as Topic

Identifiers

PMID25556085
PMCPMC4624322

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.