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Updated: Jun 28, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

[Pharmacoepidemiological research with large health databases].

F Andersohn¹, E Garbe

¹Universität Bremen, Bremen, BRD. andersoh@bips.uni-bremen.de

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz

|November 6, 2008

Summary

This summary is machine-generated.

Large health databases are increasingly vital for pharmacoepidemiological research, offering valuable insights into drug safety and utilization. These databases support post-marketing surveillance and the detection of potential drug risks.

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Area of Science:

Pharmacoepidemiology
Health Informatics
Drug Safety Research

Context:

Growing reliance on secondary data from large health databases for research.
Administrative and physician-based databases capture comprehensive patient information prospectively.
These databases are crucial for understanding drug utilization and effects.

Purpose:

To highlight the increasing importance and utility of large health databases in pharmacoepidemiological studies.
To underscore the role of these databases in post-marketing drug surveillance and safety monitoring.
To emphasize the need for valid data sources in drug research.

Summary:

Pharmacoepidemiological studies increasingly utilize large health databases, including administrative and physician-based records.
These databases prospectively collect diverse patient data, essential for drug utilization and disease epidemiology research.
They are critical instruments for identifying unknown drug risks and investigating new safety signals.

Impact:

Facilitates robust post-marketing surveillance for newly approved drugs in regions like the European Union.
Enhances the detection of adverse drug reactions and safety signals through real-world data analysis.
Supports evidence-based decision-making in drug development, regulation, and clinical practice.