Incidence and Temporal Patterns of Differentiated Thyroid Carcinoma in Children and Adolescents in Germany: A Pooled Analysis Based on Data from the German Malignant Endocrine Tumor Registry and the German Childhood Cancer Registry
THYROID(2024)
Univ Med Ctr Augsburg | Univ Augsburg | Otto Von Guericke Univ
Abstract
Introduction: The increasing incidence of differentiated thyroid carcinoma (DTC) in children and adolescents has become a growing concern. This study provides the first extensive assessment of incidence patterns and temporal trends of pediatric DTC in Germany, using the best available data from the German Malignant Endocrine Tumor (MET) Registry and the German Childhood Cancer Registry (GCCR) covering a period of 25 years. Patients and Methods: We conducted a register-based incidence and time series analysis, identifying all children and adolescents diagnosed with DTC at ages 0-17 years between 1997 and 2021 in Germany, as recorded in the German MET Registry and/or the GCCR. Age-specific and age-standardized incidence rates (ASR) over time, average annual percentage changes (AAPC), and cross-tabulations were used to evaluate incidence and temporal patterns. Results: We identified 469 DTC cases, including 85.7% papillary thyroid cancer and 9.4% follicular thyroid cancer. The average ASR for the period 1997-2021 was 1.16 per million, with higher rates in females compared with males (1.64 vs. 0.72 per million, respectively). Incidence rates increased with increasing age. The overall ASR increased from 0.84 per million in 1997-2001 to 1.48 per million in 2017-2021, with an AAPC of 3.46% [confidence interval or CI: 2.12-4.83]. The increase was most pronounced in adolescents aged 15-17 years (AAPC: 6.79% [CI: 4.43-9.19]). The proportion of incidentalomas rose from 5% in 1997-2001 to 26% in 2017-2021, yet we observed no marked shift in tumor size between symptomatic and incidental cases. Conclusions: Our study revealed a significant increase in pediatric DTC incidence in Germany, most pronounced among adolescents. The observation of an increasing incidence mirrors global trends and presents a complex public health challenge. While improved detection likely contributes to this trend, the stable tumor size distribution suggests that other factors are also in play. The rising detection of incidentalomas suggests enhanced diagnostic practices unrelated to symptoms of thyroid neoplasia. These findings highlight the need to carefully evaluate diagnostic and screening practices in pediatric populations.
MoreTranslated text
Key words
children and adolescents,thyroid carcinoma,incidence,incidence trends,Germany,German Childhood Cancer Registry,MET Registry
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper