Evidence map›Paper›PMID 39585094›Full record

ArticlePharmacy (Basel, Switzerland)2024

Potential Adverse Drug Events Identified with Decision Support Algorithms from Janusmed Risk Profile-A Retrospective Population-Based Study in a Swedish Region.

Tora Hammar, Emma Jonsén, Olof Björneld, Ylva Askfors, Marine L Andersson, Alisa Lincke

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pharmacy (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Tora HammarThe eHealth Institute, Department of Medicine and Optometry, Linnaeus University, S-391 82 Kalmar, Sweden.ORCID 0000-0003-1549-2469
Emma JonsénThe eHealth Institute, Department of Medicine and Optometry, Linnaeus University, S-391 82 Kalmar, Sweden.
Olof BjörneldThe eHealth Institute, Department of Medicine and Optometry, Linnaeus University, S-391 82 Kalmar, Sweden.ORCID 0000-0002-8370-2950
Ylva AskforsThe eHealth Institute, Department of Medicine and Optometry, Linnaeus University, S-391 82 Kalmar, Sweden.
Marine L AnderssonDivision of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institute and Clinical Pharmacology, Medical Diagnostics Karolinska, Karolinska University Hospital, S-141 86 Stockholm, Sweden.ORCID 0000-0003-2592-9863
Alisa LinckeLinnaeus University Centre for Data Intensive Sciences and Applications (LnuC DISA), Department of Computer Science and Media Technology (CM), Faculty of Technology, Linnaeus University, S-391 82 Kalmar, Sweden.ORCID 0000-0001-9062-1609

Funding

DISA: Linnaeus University Centre for Data Intensive Sciences and Applications Decision date 2021-07-04Swedish Research Council for Health Working Life and Welfare 2022-00643
6 · The paper itself

Abstract

Adverse drug events (ADEs) occur frequently and are a common cause of suffering, hospitalizations, or death, and can be caused by harmful combinations of medications. One method used to prevent ADEs is by using

Indexed as

adverse drug eventsclinical decision support systemdrug–drug interactionsdrug-related problemspharmacoepidemiologyside effects

Identifiers

PMID39585094
PMCPMC11587405

What OpenQuestion holds

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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.