ArticlePharmacy world & science : PWS2010
Evaluation of three brands of drug interaction software for use in intensive care units.
Article in Pharmacy world & science : PWS, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.
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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.
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.
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Who cites it
30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 63 citations in OpenAlex.
- Drug interaction databases in medical literature: transparency of ownership, funding, classification algorithms, level of documentation, and staff qualifications. A systematic review.European journal of clinical pharmacology · 2015Pooled it
- Drug-drug interaction software in clinical practice: a systematic review.European journal of clinical pharmacology · 2015Pooled it
- Drug-drug interactions in inpatient and outpatient settings in Iran: a systematic review of the literature.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2014Pooled it
- Effectiveness of computerised alerts to reduce drug-drug interactions (DDIs) and DDI-related harm in hospitalised patients: a quasi-experimental controlled pre-post study.BMJ quality & safety · 2025Article
- Explainable Artificial Intelligence: A Perspective on Drug Discovery.Pharmaceutics · 2025Review
- Potential drug-drug interactions among geriatric oncology patients: a retrospective study in Saudi Arabia.BMC geriatrics · 2025Article
- Factors associated with potential drug-drug interactions in psychiatric inpatients.European journal of hospital pharmacy : science and practice · 2024Article
- Drug-drug interactions with oral anticoagulants: information consistency assessment of three commonly used online drug interactions databases in Switzerland.Frontiers in pharmacology · 2024Article
- Potential Drug-Drug Interactions and Related Factors among Geriatric Outpatients of a Tertiary Care Hospital.Geriatrics (Basel, Switzerland) · 2023Article
- Evaluation of Potential Drug-Drug Interactions Caused by Antibacterial and Antifungal Drugs in the Intensive Care Unit: A Retrospective Cross-Sectional Study.Journal of clinical practice and research · 2023Article
- Evaluation of Drug Interactions in Hospitalized Patients with Malignancy.International journal of hematology-oncology and stem cell research · 2022Article
- On the road to explainable AI in drug-drug interactions prediction: A systematic review.Computational and structural biotechnology journal · 2022Review
- Clinical significance of potential drug-drug interactions in a pediatric intensive care unit: A single-center retrospective study.PloS one · 2021Article
- A computational approach to predict multi-pathway drug-drug interactions: A case study of irinotecan, a colon cancer medication.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2020Article
- Performance Assessment of Software to Detect and Assist Prescribers with Antimicrobial Drug Interactions: Are all of them Created Equal?Antibiotics (Basel, Switzerland) · 2020Article
- Article
- Determination of Potential Drug-Drug Interactions Using Various Software Programs in a Community Pharmacy Setting.Turkish journal of pharmaceutical sciences · 2019Article
- Evaluation of Clinical Relevance of Drug-Drug Interaction Alerts Prior to Implementation.Applied clinical informatics · 2018Article
- Development and pilot testing of PHARAO-a decision support system for pharmacological risk assessment in the elderly.European journal of clinical pharmacology · 2018Article
- Prevalence of QT interval prolonging drug-drug interactions (QT-DDIs) in psychiatry wards of tertiary care hospitals in Pakistan: a multicenter cross-sectional study.International journal of clinical pharmacy · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate drug interaction software programs and determine their accuracy in identifying drug-drug interactions that may occur in intensive care units. Setting The study was developed in Brazil.
methodDrug interaction software programs were identified through a bibliographic search in PUBMED and in LILACS (database related to the health sciences published in Latin American and Caribbean countries). The programs' sensitivity, specificity, and positive and negative predictive values were determined to assess their accuracy in detecting drug-drug interactions. The accuracy of the software programs identified was determined using 100 clinically important interactions and 100 clinically unimportant ones. Stockley's Drug Interactions 8th edition was employed as the gold standard in the identification of drug-drug interaction. MAIN OUTCOME: Sensitivity, specificity, positive and negative predictive values.
resultsThe programs studied were: Drug Interaction Checker (DIC), Drug-Reax (DR), and Lexi-Interact (LI). DR displayed the highest sensitivity (0.88) and DIC showed the lowest (0.69). A close similarity was observed among the programs regarding specificity (0.88-0.92) and positive predictive values (0.88-0.89). The DIC had the lowest negative predictive value (0.75) and DR the highest (0.91).
conclusionThe DR and LI programs displayed appropriate sensitivity and specificity for identifying drug-drug interactions of interest in intensive care units. Drug interaction software programs help pharmacists and health care teams in the prevention and recognition of drug-drug interactions and optimize safety and quality of care delivered in intensive care units.
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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.