Evidence map›Paper›PMID 33802983›Full record

ArticleMetabolites2021

Does DDI-Predictor Help Pharmacists to Detect Drug-Drug Interactions and Resolve Medication Issues More Effectively?

Fanny Moreau, Nicolas Simon, Julia Walther, Mathilde Dambrine, Gaetan Kosmalski, Stéphanie Genay, Maxime Perez, Dominique Lecoutre, Stéphanie Belaiche, Chloé Rousselière and 3 more

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2021. 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
2.1field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. 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

13 authors at 3 institutions in 1 country.

Fanny MoreauInstitut de Pharmacie, CHU Lille, F-59000 Lille, France.
Nicolas SimonInstitut de Pharmacie, CHU Lille, F-59000 Lille, France.ORCID 0000-0001-5257-440X
Julia WaltherInstitut de Pharmacie, CHU Lille, F-59000 Lille, France.
Mathilde DambrineInstitut de Pharmacie, CHU Lille, F-59000 Lille, France.
Gaetan KosmalskiInstitut de Pharmacie, CHU Lille, F-59000 Lille, France.ORCID 0000-0002-7571-955X
Stéphanie GenayInstitut de Pharmacie, CHU Lille, F-59000 Lille, France.ORCID 0000-0002-3153-8538
Maxime PerezInstitut de Pharmacie, CHU Lille, F-59000 Lille, France.ORCID 0000-0001-8904-1295
Dominique LecoutreInstitut de Pharmacie, CHU Lille, F-59000 Lille, France.
Stéphanie BelaicheInstitut de Pharmacie, CHU Lille, F-59000 Lille, France.
Chloé RousselièreInstitut de Pharmacie, CHU Lille, F-59000 Lille, France.ORCID 0000-0002-1882-5583
Michel TodEMR: 3738, Faculté de Médecin Lyon-Sud-Charles Mérieux, Université Lyon 1, F-69921 Oullins, France.
Bertrand DécaudinInstitut de Pharmacie, CHU Lille, F-59000 Lille, France.ORCID 0000-0001-8267-5594
Pascal OdouInstitut de Pharmacie, CHU Lille, F-59000 Lille, France.
Centre Hospitalier Universitaire de Lille · FRUniversité de Lille · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The characterization of drug-drug interactions (DDIs) may require the use of several different tools, such as the thesaurus issued by our national health agency (i.e., ANSM), the metabolic pathways table from the Geneva University Hospital (GUH), and DDI-Predictor (DDI-P). We sought to (i) compare the three tools' respective abilities to detect DDIs in routine clinical practice and (ii) measure the pharmacist intervention rate (PIR) and physician acceptance rate (PAR) associated with the use of DDI-P. The three tools' respective DDI detection rates (in %) were measured. The PIRs and PARs were compared by using the area under the curve ratio given by DDI-P (R

Indexed as

drug-drug interactionmedication analysispharmaceutical careprevention

Identifiers

PMID33802983
PMCPMC8002594
OpenAlexW3138383701

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.