Study type

Study type

Non-interventional study
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Medical condition to be studied

Breast cancer
Ovarian cancer
Endometrial cancer
Prostate cancer
Colorectal cancer
Lymphoma

Additional medical condition(s)

Lung cancer, pancreatic cancer, leukemia and myeloma
Population studied

Short description of the study population

The study population will include all individuals aged 18 years and above with a primary diagnosis of selected cancers (lung, breast, ovary, endometrium, prostate, pancreas, colorectal cancer, lymphoma, leukemia and myeloma) recorded between 01/01/2017 and 31/12/2022, with at least one year of prior history available before cancer diagnosis. Individuals with a diagnosis of cancer (any, excluding non-melanoma skin cancer) any time prior to the diagnosis of one of the selected cancers will be excluded.
Additional eligibility of a minimum of 1 year of potential follow-up time prior to the end of last database observations will be imposed for the estimation of one-year hospitalisation and mortality rates if the data sources capture this information.

Age groups

Adult and elderly population (≥18 years)
Adults (18 to < 65 years)
Adults (18 to < 46 years)
Adults (46 to < 65 years)
Elderly (≥ 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)
Study design details

Study design

A population-based cohort study of all incident cases of selected cancers will be conducted.

Main study objective

The aim of this study is to estimate the prevalence of frailty and polypharmacy at the point of diagnosis of selected cancers in adults and to describe their characteristics.

Setting

This study will be conducted using routinely collected health data from 6 databases in the DARWIN EU network of data partners from 6 European countries. All databases were previously mapped to the OMOP CDM.
Data sources
1. Clinical Practice Research Datalink (CPRD) GOLD, United Kingdom
2. IQVIA Disease Analyzer Germany (IQVIA DA Germany), Germany
3. IQVIA Longitudinal Patient Database Belgium (IQVIA LPD Belgium), Belgium
4. Integrated Primary Care Information Project (IPCI), The Netherlands
5. Estonian Biobank (EBB), Estonia
6. Sistema d’Informació per al Desenvolupament de la Investigació en Atenció Primària (SIDIAP), Spain

Data analysis plan

Population-level descriptive epidemiology:
- Prevalence rates of the condition of interest
Patient-level characterisation:
- Large-scale characterisation
- Patient-level characteristics
- Prognosis / progression to a pre-specified outcome
Documents
Study report
English (5.9 MB - PDF)View document