Evidence map›Paper›PMID 41089509›Full record

ArticleFrontiers in oncology2025

Prevalence of thyroid nodules and canceration risk assessment in TIRADS, and their relationships to obesity and dysglycemia.

Weikang Wang, Ling Xiao, Mei He, Ruimei Feng, Xiaoyin Huang, Qingling Su, Xiujian Xue, Zhijian Hu, Qian Zhang, Shanshan Du and 2 more

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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.

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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

12 authors.

Weikang Wang *Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Ling Xiao *Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Mei He *Department of Ultrasonography, Fuqing City Hospital Affiliated to Fujian Medical University, Fuqing, Fujian, China.
Ruimei FengDepartment of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Xiaoyin HuangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Qingling SuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Xiujian XueDepartment of Ultrasonography, Fuqing City Hospital Affiliated to Fujian Medical University, Fuqing, Fujian, China.
Zhijian HuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Qian ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Shanshan DuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Hong LinDepartment of General Surgery, Fuqing City Hospital Affiliated to Fujian Medical University, Fuqing, Fujian, China.
Weimin YeDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To describe the prevalence of thyroid nodules (TNs), their ultrasonographic characteristics, and the cancer risk assessment using the Thyroid Imaging Reporting and Data System (TIRADS) in a natural population, while also exploring their association with multiple metabolic disorders. This study aims to provide insight into the disease burden of TNs in the coastal area of Southeast China. Design: A cross-sectional study. Setting and participants: A total of 6221 participants from the baseline survey of the Fuqing Cohort Study, an ongoing population-based study in a coastal city of Southeast China, were included. Primary and secondary outcome measures: TNs and its detailed ultrasonographic characteristics, risk grading in TIRADS, and metabolic factors. Results: The age- and sex-standardized prevalence of TNs was found to be 67.2%, with a higher prevalence observed in females and an increase with age. Additionally, multiple, solid, and < 10 mm TNs were common. Approximately 39.2% of participants were diagnosed with grade 3, while 2.3% were classified as grade ≥ 4a according to TIRADS. Metabolic syndrome was associated with TNs, but this association was significant only in females. The relationship between metabolic disorders and the characteristics and grade of TNs in TIRADS varied by sex. Conclusion: The prevalence of TNs in the coastal area of Southeast China is notable, with 2.3% of the population classified as grade ≥ 4a in TIRADS, indicating a high risk of cancer and necessitating further assessment for thyroid cancer. The association between TNs and metabolic disorders varies by sex and requires further confirmation.

Indexed as

cross-sectional studyimaging characteristicsmetabolic disordersthyroid imaging reporting and data systemthyroid nodule

Identifiers

PMID41089509
PMCPMC12515924

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