Evidence map›Paper›PMID 34957573›Full record

SynthesisJournal of clinical pharmacology2022

Heterogeneity in the Identification of Potential Drug-Drug Interactions in the Intensive Care Unit: A Systematic Review, Critical Appraisal, and Reporting Recommendations.

Tinka Bakker, Dave A Dongelmans, Ehsan Nabovati, Saeid Eslami, Nicolette F de Keizer, Ameen Abu-Hanna, Joanna E Klopotowska

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. [Drug-drug interactions in critically ill patients].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
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

7 authors.

Tinka BakkerAmsterdam UMC (location AMC), Department of Medical Informatics, Amsterdam, The Netherlands.ORCID 0000-0002-7894-6926
Dave A DongelmansAmsterdam UMC (location AMC), Department of Intensive Care Medicine, Amsterdam, The Netherlands.
Ehsan NabovatiHealth Information Management Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Saeid EslamiAmsterdam UMC (location AMC), Department of Medical Informatics, Amsterdam, The Netherlands.
Nicolette F de KeizerAmsterdam UMC (location AMC), Department of Medical Informatics, Amsterdam, The Netherlands.
Ameen Abu-HannaAmsterdam UMC (location AMC), Department of Medical Informatics, Amsterdam, The Netherlands.
Joanna E KlopotowskaAmsterdam UMC (location AMC), Department of Medical Informatics, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients admitted to the intensive care unit (ICU) are frequently exposed to potential drug-drug interactions (pDDIs). However, reported frequencies of pDDIs in the ICU vary widely between studies. This can be partly explained by significant variation in their methodological approach. Insight into methodological choices affecting pDDI frequency would allow for improved comparison and synthesis of reported pDDI frequencies. This study aimed to evaluate the association between methodological choices and pDDI frequency and formulate reporting recommendations for pDDI frequency studies in the ICU. The MEDLINE database was searched to identify papers reporting pDDI frequency in ICU patients. For each paper, the pDDI frequency and methodological choices such as pDDI definition and pDDI knowledge base were extracted, and the risk of bias was assessed. Each paper was categorized as reporting a low, medium, or high pDDI frequency. We sought associations between methodological choices and pDDI frequency group. Based on this comparison, reporting recommendations were formulated. Analysis of methodological choices showed significant heterogeneity between studies, and 65% of the studies had a medium to high risk of bias. High risk of bias, small sample size, and use of drug prescriptions instead of administrations were related to a higher pDDI frequency. The findings of this review may support researchers in designing a reliable methodology assessing pDDI frequency in ICU patients. The reporting recommendations may contribute to standardization, comparison, and synthesis of pDDI frequency studies, ultimately improving knowledge about pDDIs in and outside the ICU setting.

Indexed as

Critical CareIntensive Care UnitsDatabases, FactualDrug InteractionsHospitalizationHumansdrug-drug interaction identificationdrug-drug interactionsintensive caremedication safetypatient safetypharmacoepidemiology

Identifiers

PMID34957573
PMCPMC9303874

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.