Evidence map›Paper›PMID 39980569›Full record

ArticleFrontiers in oncology2025

A comprehensive analysis and comparative study of the trends in thyroid cancer burden in China and globally from 1990 to 2021, with projections for the next 15 Years.

Yulai Yin, Xiaoyu Zhang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yulai YinCangzhou Central Hospital Affiliated to Hebei Medical University, Cangzhou, China.
Xiaoyu ZhangDepartment of Thyroid and Breast Surgery III, Cangzhou Central Hospital, Cangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to analyze the trends in incidence, prevalence, mortality, and disability-adjusted life years (DALYs) of thyroid cancer across gender and age groups in China and globally from 1990 to 2021, using data from the Global Burden of Disease (GBD) database. Additionally, it projects the trends in thyroid cancer burden for the next 15 years for both China and the global population. Materials and methods: Thyroid cancer-related data were extracted from the 2021 GBD dataset. The average annual percentage change (AAPC) and the corresponding 95% confidence intervals (95% CI) were calculated using Joinpoint regression to reflect trends in the thyroid cancer burden. R software was used to perform a gender- and age-specific analysis and visualize the trends in thyroid cancer burden for both China and the global population. Furthermore, the Autoregressive Integrated Moving Average (ARIMA) model was employed to project the trends in thyroid cancer burden over the next 15 years. Results: The results indicate a rising trend in the incidence and prevalence of thyroid cancer both in China and globally. Conversely, the mortality rate and DALYs show a declining trend over the same period. Age-specific analysis revealed that thyroid cancer is most prevalent among individuals aged 50-64. Gender-specific analysis indicated that the incidence rate is higher in females than in males. Projections for the next 15 years show that the age-standardized incidence rates for both males and females are expected to continue rising in China and globally. While the age-standardized mortality rate for females is projected to decline significantly, the mortality rate for males is predicted to stabilize. Conclusion: Between 1990 and 2021, the number of thyroid cancer cases has increased both in China and globally, while the mortality rate has shown a marked decline. This trend is expected to persist over the next 15 years. The growing population affected by thyroid cancer reflects a substantial disease burden, making thyroid cancer a significant global public health concern. The formulation of proactive and effective health policies is urgently needed.

Indexed as

disease burdenincidenceprevalencethyroid cancertrend

Identifiers

PMID39980569
PMCPMC11841450

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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.