Evidence map›Paper›PMID 36233599›Full record

ArticleJournal of clinical medicine2022

Frequency, Characteristics, and Predictive Factors of Adverse Drug Events in an Adult Emergency Department according to Age: A Cross-Sectional Study.

Laura Lohan, Grégory Marin, Marie Faucanie, Marion Laureau, Damien Perier, Véronique Pinzani, Isabelle Giraud, Maxime Villiet, Mustapha Sebbane, Ariane Sultan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

11 authors at 2 institutions in 1 country.

Laura LohanClinical Pharmacy Department, CHU Montpellier, University of Montpellier, 34295 Montpellier, France.ORCID 0000-0003-4700-9435
Grégory MarinClinical Research and Epidemiology Unit, CHU Montpellier, University of Montpellier, 34295 Montpellier, France.
Marie FaucanieClinical Research and Epidemiology Unit, CHU Montpellier, University of Montpellier, 34295 Montpellier, France.
Marion LaureauClinical Pharmacy Department, CHU Montpellier, University of Montpellier, 34295 Montpellier, France.
Damien PerierEmergency Medicine Department, CHU Montpellier, University of Montpellier, 34295 Montpellier, France.
Véronique PinzaniMedical Pharmacology and Toxicology Department, CHU Montpellier, University of Montpellier, 34295 Montpellier, France.
Isabelle GiraudEconomic Evaluation Unit, CHU Montpellier, University of Montpellier, 34295 Montpellier, France.ORCID 0000-0002-6259-9851
Maxime VillietClinical Pharmacy Department, CHU Montpellier, University of Montpellier, 34295 Montpellier, France.
Mustapha SebbaneEmergency Medicine Department, CHU Montpellier, University of Montpellier, 34295 Montpellier, France.
Ariane SultanPhyMedExp, University of Montpellier, CNRS, INSERM, 34000 Montpellier, France.
Cyril BreukerClinical Pharmacy Department, CHU Montpellier, University of Montpellier, 34295 Montpellier, France.ORCID 0000-0002-9023-2686
Université de Montpellier · FRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adverse drug events (ADEs) are a major public health concern, given their consequences in terms of morbi-mortality and associated healthcare costs. Many studies have focused on the elderly, who are considered particularly vulnerable in this respect. We aimed to determine and compare the frequency, characteristics, and predictive factors of ADEs according to age in an adult population. A prospective seven-year cross-sectional study was conducted in a university hospital emergency department. Structured medication reviews and ADE detection were performed. Patient data and ADE characteristics were collected. Descriptive statistics and logistic regression were performed in two age groups: Group 1 (age < 65 years) and 2 (age ≥ 65 years). Among the 13,653 patients included, 18.4% in Group 1 and 22.6% in Group 2 experienced an ADE. Differences were identified in terms of the ADE type (more ADEs due to noncompliance in Group 1) and ADE symptoms (greater bleeding in Group 2). In the multivariable analysis, several specific predictive factors were identified, including kidney failure and antidiabetic drug use in Group 1 and inappropriate prescription and antithrombotic treatment in Group 2. Analysis by age provided a more refined vision of ADEs as we identified distinct profiles of iatrogenesis. These results will lead to a better detection of ADEs.

Indexed as

adverse drug eventage factorsemergency departmentepidemiology and detectionhealthcare quality improvementpatient safetypharmaceutical team

Identifiers

PMID36233599
PMCPMC9572040
OpenAlexW4297541649

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.