Aggregation and analysis of indication-symptom relationships for drugs approved in the USA

Punyala, Ananth; Lankapalli, Rachana; Hindman, Diane; Racz, Rebecca

doi:10.1007/s00228-020-02898-w

Aggregation and analysis of indication-symptom relationships for drugs approved in the USA

Journal Article · Wed Jun 03 00:00:00 EDT 2020 · European Journal of Clinical Pharmacology

DOI:https://doi.org/10.1007/s00228-020-02898-w· OSTI ID:1631784

Punyala, Ananth; Lankapalli, Rachana; Hindman, Diane;

Abstract Purpose

Drug indications and disease symptoms often confound adverse event reports in real-world datasets, including electronic health records and reports in the FDA Adverse Event Reporting System (FAERS). A thorough, standardized set of indications and symptoms is needed to identify these confounders in such datasets for drug research and safety assessment. The aim of this study is to create a comprehensive list of drug-indication associations and disease-symptom associations using multiple resources, including existing databases and natural language processing.

Methods

Drug indications for drugs approved in the USA were extracted from two databases, RxNorm and Side Effect Resource (SIDER). Symptoms for these indications were extracted from MedlinePlus and using natural language processing from PubMed abstracts.

Results

A total of 1361 unique drugs, 1656 unique indications, and 2201 unique symptoms were extracted from a wide variety of MedDRA System Organ Classes. Text-mining precision was maximized at 0.65 by examining Term Frequency Inverse Document Frequency (TF-IDF) scores of the disease-symptom associations.

Conclusion

The drug-indication associations and disease-symptom associations collected in this study may be useful in identifying confounders in other datasets, such as safety reports. With further refinement and additional drugs, indications, and symptoms, this dataset may become a quality resource for disease symptoms.

Sponsoring Organization:: USDOE

OSTI ID:: 1631784

Journal Information:: European Journal of Clinical Pharmacology, Journal Name: European Journal of Clinical Pharmacology Journal Issue: 9 Vol. 76; ISSN 0031-6970

Publisher:: Springer Science + Business MediaCopyright Statement

Country of Publication:: Germany

Language:: English

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Aggregation and analysis of indication-symptom relationships for drugs approved in the USA

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