Evidence map›Paper›PMID 38630343›Full record

ArticleBiological trace element research2025

Cadmium Exposure was Associated with Sex-Specific Thyroid Dysfunction: Consistent Evidence from Two Independent Cross-Sectional Studies Based on Urinary and Blood Cadmium Measurements.

Ranqi Shao, Liqin Su, Peng Wang, Xu Han, Ting Wang, Jun Dai, Yi Gu, Jiao Luo, Lifang Deng, Jingping Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Biological trace element research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Ranqi ShaoChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Beijing, 100050, China.
Liqin SuChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Beijing, 100050, China. suliqin@nieh.chinacdc.cn.
Peng WangJiangsu Key Laboratory for Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China.
Xu HanChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Beijing, 100050, China.
Ting WangChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Beijing, 100050, China.
Jun DaiJiangsu Key Laboratory for Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China.
Yi GuJiangsu Key Laboratory for Organic Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China.
Jiao LuoChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Beijing, 100050, China.
Lifang DengYuhu Center for Disease Control and Prevention, Xiangtan, 411100, China.
Jingping LiuChangde Center for Disease Control and Prevention, Changde, 415000, China.
Chinese Center For Disease Control and Prevention · CNNanjing Agricultural University · CNNational Institute for Occupational Health and Poison Control · CNThe First People's Hospital of Changde · CN

Funding

National Institutes of Health of USA R01AG019181National Key Research and Development Program of China 2018YFC1801102
6 · The paper itself

Abstract

Population-based studies on the association between cadmium (Cd) exposure and thyroid function are limited and have shown conflicting results. Two independent cross-sectional studies using different Cd biomarkers were carried out in six rural areas with different soil Cd levels in China. Thyroid dysfunction was defined based on levels of thyroid stimulating hormone (TSH) and free thyroxine (FT4). Multivariable linear regression, multiple logistic regression, and restrictive cubic splines models were used to estimate the association between Cd and thyroid dysfunction. For both of the two independent studies, higher Cd levels were observed to be associated with lower TSH levels and higher risk of thyroid dysfunction. The negative relationship between urinary Cd and TSH was found in both total participants (β =  - 0.072, p = 0.008) and males (β =  - 0.119, p = 0.020) but not in females; however, the negative relationship between blood Cd and TSH was only found in females (β =  - 0.104, p = 0.024). Higher urinary Cd was associated with higher risk of thyroid dysfunction (OR = 1.77, p = 0.031), while higher blood Cd was associated with higher risk of thyroid dysfunction (OR = 1.95, p = 0.011). Results from the two independent cross-sectional studies consistently suggested that higher Cd levels were associated with sex-specific thyroid dysfunction.

Indexed as

CadmiumThyroid DiseasesAdultAgedChinaCross-Sectional StudiesEnvironmental ExposureFemaleHumansMaleMiddle AgedSex FactorsThyroid GlandThyrotropinThyroxineCadmiumThyrotropinThyroxineCadmiumHealth risk assessmentThyroid dysfunctionThyroid hormone

Identifiers

PMID38630343
OpenAlexW4394873768

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.