Evidence mapPaperPMID 42299272Full record

ArticleGland surgery2026

Spatial concordance patterns of breast and thyroid cancer based on burden inequalities and related risk factors analyses.

Li Yuan Wei, Li Da Liao, Kai Wang, Hui Huang, Wen Sheng Liu

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Article in Gland surgery, 2026. 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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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Li Yuan Wei *Department of Head and Neck Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Li Da Liao *Department of Head and Neck Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Kai WangDepartment of Head and Neck Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hui HuangDepartment of Head and Neck Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wen Sheng LiuDepartment of Head and Neck Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Both breast cancer (BC) and thyroid cancer (TC) are the most common malignancies, particularly for female patients. A well-established bidirectional association exists between them. However, the distribution of spatial concordance patterns remains incompletely elucidated. This study aims to provide a comprehensive assessment of the global burden and spatial concordance patterns of BC and TC, and identify the population-level exposure factors associated with the burden of these two cancers. Methods: By utilizing data from the Global Burden of Disease Study and GLOBOCAN 2022, we examined the incidence, mortality, and disability-adjusted life years (DALYs) rates across 204 countries and territories from 1990 to 2022. They were then classified into three distinct spatial concordance patterns according to different levels of incidence and mortality. An XGBoost prediction model was used to evaluate the association between country-level exposure profiles and BC-related DALYs, and SHapley Additive exPlanations (SHAP) values were used to quantify the contribution of each feature. Results: Globally, from 1990 to 2022, the age-standardized incidence rate (ASIR) of TC increased with an estimated annual percentage change (EAPC) of 1.25%, while BC ASIR increased with an EAPC of 0.38%. Spatial analysis identified 3 distinct spatial concordance patterns: consistent areas, BC-dominant areas and TC-dominant areas. Machine learning identified low physical activity and a diet high in red meat as the strongest ecological predictors of BC-related DALYs, while high body-mass index was a major predictor for TC-related DALYs globally. Conclusions: The comorbidity of BC and TC is a global health issue, with significant demographic and regional diversity. The identified spatial concordance patterns and population-level associated exposure risk factors underscore the necessity for tailored public health policies.

Indexed as

Breast cancer (BC)machine learningrisk factorsspatial concordance patternsthyroid cancer (TC)

Identifiers

PMID42299272
PMCPMC13264772

What Socratic holds

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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 Socratic graph.