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Active, Not Recruiting

NCT Number: NCT07008560

Spatiotemporal Associations Between the COVID-19 Pandemic and Cancer Diagnoses in Bavaria

The COVID-19 pandemic has placed a significant strain on healthcare systems worldwide and has also impacted the diagnosis and treatment of cancer. In Germany, there was a notable decline in cancer diagnoses during the pandemic, partly due to delays in early detection and limited access to medical treatments.

This study examines how the number of cancer cases in Bavaria changed before and during the pandemic, taking various factors into account, such as the socioeconomic status of different regions, the age of affected individuals, and the severity of the pandemic in each region.

We aim to determine whether certain regions or specific types of tumors experienced greater declines in diagnoses, particularly for cancers with regular screening programs. The study seeks to provide a better understanding of how different social and geographical conditions influenced cancer diagnoses during the pandemic. These insights could help improve future preparedness for health crises like the pandemic and ensure that cancer treatment continues to function effectively even in times of crisis.

Active, Not Recruiting

This study is active but is not currently recruiting participants.

Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Bavarian Cancer Registry, Bavarian Health and Food Safety Authority

Munich, Bavaria, 80538, Germany

About this study

The COVID-19 pandemic has exerted significant pressure on healthcare systems worldwide, particularly impacting the diagnosis and treatment of non-communicable diseases such as cancer. In Germany, substantial declines in cancer diagnoses have been observed, primarily due to delays in early detection and limited access to medical services during the pandemic. This study aims to investigate the regional and temporal variations in cancer incidence in Bavaria before and during the pandemic, taking into account socio-economic, demographic factors, and the severity of the pandemic.

This registry-based study utilizes data from the Bavarian Cancer Registry spanning from 2018 to 2023. The analysis adopts a spatiotemporal approach to examine changes in cancer incidence over time at the district level in Bavaria. A Bayesian spatiotemporal Poisson model with a Conditional Autoregressive (CAR) structure will be employed to account for both spatial and temporal variations, as well as spatial correlations between neighboring districts. The analysis will incorporate demographic characteristics, socio-economic status, tumor-specific data, and regional variations in the severity of the pandemic.

It is hypothesized that the pandemic has led to regional disparities in cancer incidence, with socio-economically disadvantaged areas potentially being more severely affected. Tumors associated with established screening programs, such as breast, colon, and cervical cancer, may have experienced a greater reduction in diagnoses compared to other cancer types.

The findings of this study will provide valuable insights into how geographical and socio-economic factors influenced cancer incidence during the pandemic and how these inequalities were exacerbated. The results could inform future health policies aimed at ensuring the continued accessibility of cancer detection and treatment, even during public health crises.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • All incident cancer cases among individuals aged 18 years and older, including carcinoma in situ, diagnosed between 2018 and 2023 within Bavaria and recorded in the Bavarian Cancer Registry.

Exclusion criteria

  • Death Certificate Only (DCO) cases. as they lack essential clinical information and the recorded date of diagnosis is in most cases the date of death, leading to temporal distortions in incidence estimates.

Treatment and study plan

Primary outcomes

  1. Newly diagnosed cancer cases

    Time frame: 2018 to 2023

    Number of incident cancer cases per district and month in Bavaria, Germany

Sponsors and collaborators

Lead sponsor

Bavarian Cancer Registry

Other Gov

Collaborators

  • Ludwig-Maximilians - University of Munich

Registry information

Official study title

Evaluation of Spatiotemporal Associations Between the COVID-19 Pandemic and the Incidence of Cancer Diagnoses in Bavaria, Germany: A Registry-based Study (PanSCan)

Acronym: PanSCan

Important dates

Study start
2025
Primary completion
2025
Study completion
2026
First posted
Jun 6, 2025
Registry last updated
Jan 6, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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