Evidence map›Paper›PMID 41860809›Full record

ArticlePloS one2026

Spatial and temporal distribution of thyroid cancer incidence in China: An ecological study based on a national registry.

Wen Liu, Jiaqi Yang, Zhenhao Zheng, Yang Yu, Jun Li, Ting Ma, Hao Liu

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

7 authors.

Wen LiuDepartment of Ultrasound, the First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China.ORCID https://orcid.org/0009-0007-2188-9792
Jiaqi YangDepartment of Preventive Medicine, School of Medicine, Shihezi University, Shihezi, Xinjiang, China.
Zhenhao ZhengDepartment of Ultrasound, the First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China.
Yang YuDepartment of Ultrasound, the First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China.
Jun LiDepartment of Ultrasound, the First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China.
Ting MaDepartment of Ultrasound, the First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China.
Hao LiuDepartment of Gastroenterology, the First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China.ORCID https://orcid.org/0009-0001-8194-6038

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to analyze the incidence rate of thyroid cancer in China to elucidate its spatiotemporal distribution and to provide an evidence-based foundation for prevention and control strategies. Thyroid cancer incidence data from 2005 to 2018 were obtained from the China Cancer Registry Annual Reports (2008-2021). The Joinpoint regression model was used to describe the time trend, the age-period-cohort model was employed to analyze the effects of age, period and cohort on the thyroid cancer incidence, and spatial autocorrelation was used to analyze its spatial distribution. Results showed China's age-standardized incidence rate (ASIR) of thyroid cancer from 2005 to 2018 was 8.69 (95% CI: 8.55, 8.83) per 100,000, exhibiting an upward trend with an average annual percent change (AAPC) of 10.7% (95% CI: 9.5%, 11.9%). The ASIR was higher in urban than in rural areas, though its growth rate was lower than in rural areas; similarly, it was higher in females than males but grew slower than in males. Nationally, incidence risk initially increased and then declined with advancing age, while period effects showed an upward trend and cohort effects a downward trend. Spatial autocorrelation revealed clustered incidence patterns, with northeastern China exhibiting a high-high clustering. Although this study is limited by the lack of pathological classification, the delay in the latest data, and potential biases from the increasing number of surveillance sites, these findings also suggest that the national thyroid cancer surveillance system should be further strengthened, a registration system for high-risk populations should be established, and greater investment should be allocated to etiological research, such as through measures like controlling weight and regulating radiation to reduce the risk of thyroid cancer.

Indexed as

Thyroid NeoplasmsAdolescentAdultAgedChildChinaFemaleHumansIncidenceMaleMiddle AgedRegistriesRural PopulationSpatio-Temporal AnalysisYoung Adult

Identifiers

PMID41860809
PMCPMC13004386

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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.