Evidence map›Paper›PMID 24745854›Full record

ReviewExpert review of clinical pharmacology2014

Understanding and preventing drug-drug and drug-gene interactions.

Cara Tannenbaum, Nancy L Sheehan

Registry-linked trialAbstract readReview
In one paragraph

Review in Expert review of clinical pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03257605 (Implementation of a Pharmacist-Led Pharmacogenomics Service for the Program of All-inclusive Care for the Elderly), which is not on this map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing 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.

NCT03257605 completednot on this map

Implementation of a Pharmacist-Led Pharmacogenomics Service for the Program of All-inclusive Care for the Elderly (PHARM-GENOME-PACE)

TypeobservationalSponsorTabula Rasa HealthCareRan2014 to 2017Enrolled296ConditionsPharmacogenomics, Medication Therapy Management
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  12. Observational
  13. Efficacy andAntimicrobial agents and chemotherapy · 2025
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4 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

2 authors.

Cara TannenbaumUniversité de Montreal, Centre de Recherche de l'Institut universitaire de gériatrie de Montréal, 4565 Queen Mary Road #4824, Montreal, Québec H3W 1W5, Canada.
Nancy L Sheehan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Concomitant administration of multiple drugs can lead to unanticipated drug interactions and resultant adverse drug events with their associated costs. A more thorough understanding of the different cytochrome P450 isoenzymes and drug transporters has led to new methods to try to predict and prevent clinically relevant drug interactions. There is also an increased recognition of the need to identify the impact of pharmacogenetic polymorphisms on drug interactions. More stringent regulatory requirements have evolved for industry to classify cytochrome inhibitors and inducers, test the effect of drug interactions in the presence of polymorphic enzymes, and evaluate multiple potentially interacting drugs simultaneously. In clinical practice, drug alert software programs have been developed. This review discusses drug interaction mechanisms and strategies for screening and minimizing exposure to drug interactions. We also provide future perspectives for reducing the risk of clinically significant drug interactions.

Indexed as

Cytochrome P-450 Enzyme SystemDrug InteractionsDrug-Related Side Effects and Adverse ReactionsHumansPharmacogeneticsRiskCytochrome P-450 Enzyme Systemcytochrome-mediated drug interactionsdrug-drug-gene interactionsdrug transporterspharmacogenomicspolypharmacy

Identifiers

PMID24745854
PMCPMC4894065

What OpenQuestion holds

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Registered trials

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.