ReviewEuropean journal of epidemiology2022
The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics.
Review in European journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 32 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
COVIDOM: Longterm Morbidity of SARS-CoV-2 Infection and COVID-19 Disease - Consequences for Health Status and Quality of Life (NAPKON-POP)
National Pandemic Cohort Network - High-resolution Platform (HAP) Analysis of the Pathophysiology and Pathology of Coronavirus Disease 2019 (COVID-19), Including Chronic Morbidity
Intersectoral Platform (SÜP) of the National Pandemic Cohort Network (NAPKON)
Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Definitions and symptoms of the post-COVID syndrome: an updated systematic umbrella review.European archives of psychiatry and clinical neuroscience · 2025Pooled it
- Article
- An externally validated machine learning algorithm for predicting mental and physical health outcomes three months post-hospitalization for severe viral infection with SARS-CoV-2.Brain, behavior, & immunity - health · 2026Article
- Long-term trends in Post-COVID severity: a machine learning analysis from the POP/COVIDOM cohort of the German NAPKON Cohort Network.EClinicalMedicine · 2026Article
- Genetic contribution to severe COVID-19 in adults under 60 years without major comorbidities in the German National Pandemic Cohort Network (NAPKON).Human genomics · 2026Article
- Occurrence and clinical correlates of SARS-CoV-2 viremia in two German patient cohorts.Emerging microbes & infections · 2025Article
- Article
- Should we synthesize more than we need: impact of synthetic data generation for high-dimensional cross-sectional medical data.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Enhancing translational research in metastatic cancer through an open science environment: the UPTIDER experience.NPJ precision oncology · 2025Article
- Article
- An international comparison of longitudinal health data collected on long COVID in nine high income countries: a qualitative data analysis.Health research policy and systems · 2025Article
- Factors associated with reduction in quality of life after SARS-CoV-2 infection.Scientific reports · 2025Article
- The benefits of fully electronic consent management and consent collection via a tablet PC in supporting time-critical pandemic research-an example from a NAPKON COVID-19 project.Frontiers in digital health · 2025Article
- Article
- Observational
- Observational
- Article
- [Integration of Inventory Data from Cohort and Registry Studies into an Existing Research Network: National Pandemic Cohort Network (NAPKON)].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2024Article
- A precise performance-based reimbursement model for the multi-centre NAPKON cohorts - development and evaluation.Scientific reports · 2024Article
- Creation of Standardized Common Data Elements for Diagnostic Tests in Infectious Disease Studies: Semantic and Syntactic Mapping.Journal of medical Internet research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
76 authors.
Funding
Abstract
The German government initiated the Network University Medicine (NUM) in early 2020 to improve national research activities on the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic. To this end, 36 German Academic Medical Centers started to collaborate on 13 projects, with the largest being the National Pandemic Cohort Network (NAPKON). The NAPKON's goal is creating the most comprehensive Coronavirus Disease 2019 (COVID-19) cohort in Germany. Within NAPKON, adult and pediatric patients are observed in three complementary cohort platforms (Cross-Sectoral, High-Resolution and Population-Based) from the initial infection until up to three years of follow-up. Study procedures comprise comprehensive clinical and imaging diagnostics, quality-of-life assessment, patient-reported outcomes and biosampling. The three cohort platforms build on four infrastructure core units (Interaction, Biosampling, Epidemiology, and Integration) and collaborations with NUM projects. Key components of the data capture, regulatory, and data privacy are based on the German Centre for Cardiovascular Research. By April 01, 2022, 34 university and 40 non-university hospitals have enrolled 5298 patients with local data quality reviews performed on 4727 (89%). 47% were female, the median age was 52 (IQR 36-62-) and 50 pediatric cases were included. 44% of patients were hospitalized, 15% admitted to an intensive care unit, and 12% of patients deceased while enrolled. 8845 visits with biosampling in 4349 patients were conducted by April 03, 2022. In this overview article, we summarize NAPKON's design, relevant milestones including first study population characteristics, and outline the potential of NAPKON for German and international research activities.Trial registration https://clinicaltrials.gov/ct2/show/NCT04768998 . https://clinicaltrials.gov/ct2/show/NCT04747366 . https://clinicaltrials.gov/ct2/show/NCT04679584.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.