Evidence map›Paper›PMID 40890812›Full record

ArticleThyroid research2025

Global burden of thyroid cancer attributed to high body mass index and predictive trends: estimated results from the global health data study, 1990-2021.

Xinjun Zhang, Hua Fan, Qingwen Yu, Xuhan Tong, Xiyun Rao, Ting Tang, Lanlan Feng, Yongmin Shi, Yuheng Xu, Mingwei Wang and 1 more

Abstract read
In one paragraph

Article in Thyroid research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Xinjun Zhang *Department of Thyroid and Breast Surgery, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, 310015, Zhejiang Province, China.
Hua Fan *School of Clinical Medicine, The First Affiliated Hospital of Henan University of Science and Technology, Henan University of Science and Technology, Luoyang, 471003, Henan, China.
Qingwen Yu *Department of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Engineering Research Center of Mobile Health Management System&Ministry of Education, The Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Xuhan TongDepartment of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Engineering Research Center of Mobile Health Management System&Ministry of Education, The Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Xiyun RaoDepartment of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Engineering Research Center of Mobile Health Management System&Ministry of Education, The Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Ting TangDepartment of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Engineering Research Center of Mobile Health Management System&Ministry of Education, The Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Lanlan FengDepartment of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Engineering Research Center of Mobile Health Management System&Ministry of Education, The Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Yongmin ShiDepartment of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Engineering Research Center of Mobile Health Management System&Ministry of Education, The Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China.
Yuheng XuDepartment of Public Health and Health Management, School of Clinical Medicine, Anhui Medical University, Hefei, 230032, China.
Mingwei WangDepartment of Cardiology, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Engineering Research Center of Mobile Health Management System&Ministry of Education, The Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Hangzhou Normal University, Hangzhou, 310015, China. wmw990556@hznu.edu.cn.
Yongran ChengSchool of Public Health, Hangzhou Medical College, Hangzhou, 311300, China. 2020000339@hmc.edu.cn.

Funding

Hangzhou biomedicine and health industry development support science and technology project No. 2022WJCY024; No. 2021WJCY238; No. 2021WJCY047;No. 2021WJCY115Hangzhou Normal University Dengfeng Project"Clinical Medicine Revitalization Plan"Jiande Hospital Special Project No. LCYXZXJH001Interdisciplinary Research Project of Hangzhou Normal University No. 2024JCXK05
6 · The paper itself

Abstract

backgroundThyroid cancer is the most common endocrine tumor, impacting patients' quality of life and contributing to a significant societal burden. This study aims to estimate the global burden of thyroid cancer attributable to High Body Mass Index(HBMI) over the past 30 years.

methodsThe mortality rates, disability-adjusted life years (DALYs), and age-standardized rates (ASRs) attributable to HBMI for thyroid cancer were extracted. A generalized linear model with a Gaussian distribution was used to calculate the estimated annual percentage changes (EAPCs) in ASRs, quantifying the temporal trends in the global burden of thyroid cancer due to HBMI. The strength and direction of the association between the Social Developmeant Index (SDI) and DALY rates were measured using Spearman's rank correlation. The Bayesian age-period-cohort (BAPC) model was used to predict deaths patterns of thyroid cancer from 2020 to 2035.

resultsGlobally, the DALYs for thyroid cancer increased from 1.49 in 1990 to 1.68 in 2021, with an EAPC of 0.377 (95% CI: 0.342-0.411). 127 countries or regions showed an upward trend. This trend was particularly pronounced in low SDI, middle SDI, and low-middle SDI regions, while a declining trend was observed in high SDI and high-middle SDI regions.The global ASR of death(ASDR) and DALYs were all higher in females than in males.From 2020 to 2035, the global burden of thyroid cancer, measured in DALYs and ASDR, are both projected to exhibit a gradual upward trend.

conclusionsHigh Body Mass Index is associated with thyroid cancer. Comprehensive control of body weight may help mitigate or even prevent the development of thyroid cancer, providing valuable data for future prevention and control efforts.

Indexed as

Global disease burdenHigh body mass indexPredictionRisk factorsThyroid cancer

Identifiers

PMID40890812
PMCPMC12403263

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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.