Clinical epidemiology of patients with neuroendocrine tumors (NETs) in Spain, using electronic health records (EHRs) and big data techniques

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Introduction: The epidemiology and clinical features of NETs are best understood in large, population-based registries with available follow-up information. Real-word evidence and “Big Data” techniques hold potential to increase understanding of the disease and help identify new therapeutic strategies, through analysis of large clinical datasets contained in EHRs.

Aim(s): Describe the demographic and clinical characteristics of patients with NETs in Spain.

Materials and methods: This observational, retrospective study will use data from EHRs of the Spanish Healthcare Network. The expected study period spans the last 5 years of clinical practice contained in EHRs of 15 hospital sites (1st Jan 2014 – 31st Dec 2019, or until the latest available record). EHRs will be pseudonymized in the IT department of each participating hospital; data will then be fully anonymized and aggregated always ensuring confidentiality. The study will include patients aged 18-80 years and diagnosed with NET within the study period, as captured in the free-text, unstructured information in EHRs.

Conference: 18th Annual ENETS Concerence (2021)

Presenting Author:

Authors: Marazuela M, de La Cruz G, Grandoulier A, De la Puente M, López C,

Keywords: neuroendocrine tumor, big data, epidemiology, electronic health records,