ArticleJournal of the American Medical Informatics Association : JAMIA
Development of a combined system for identification and classification of adverse drug reactions: Alerts Based on ADR Causality and Severity (ABACUS).
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Reporting of harms in systematic reviews focused on naltrexone: a cross-sectional study.Frontiers in psychiatry · 2025Pooled it
- Analysis of the reporting of adverse drug reactions in children and adolescents in Germany in the time period from 2000 to 2019.PloS one · 2021Article
- The development of a scoring and ranking strategy for a patient-tailored adverse drug reaction prediction in polypharmacy.Scientific reports · 2020Article
- Assessment of the expectancy, seriousness and severity of adverse drug reactions reported for chronic obstructive pulmonary disease therapy.SAGE open medicine · 2017Article
- A review of approaches to identifying patient phenotype cohorts using electronic health records.Journal of the American Medical Informatics Association : JAMIAReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Currently, adverse drug reaction (ADR) causality and severity are assessed using different systems but there is no standard method to combine the results. In this work, a combined ADR causality and severity assessment system, including an online version, was developed. Logical rules were defined to translate the score obtained from the system into three alert zones: green, amber, and red. The alert zones are useful for triaging ADR cases as they help define the seriousness of the ADR and the urgency of the responses required. This new scoring system may be useful for clinicians, investigators, and regulators seeking information on the likelihood of a drug causing an adverse reaction, and whether an adverse reaction is sufficiently dangerous for the drug to be withheld or undergo further investigation.
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What OpenQuestion holds
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.