Evidence map›Paper›PMID 26169263›Full record

ArticleBMC public health2015

Estimation of the benchmark dose of urinary cadmium as the reference level for renal dysfunction: a large sample study in five cadmium polluted areas in China.

Shen Ke, Xi-Yu Cheng, Jie-Ying Zhang, Wen-Jing Jia, Hao Li, Hui-Fang Luo, Peng-He Ge, Ze-Min Liu, Hong-Mei Wang, Jin-Sheng He and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.7field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 57 citations in OpenAlex.

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  13. An Assessment of Dietary Exposure to Cadmium in Residents of Guangzhou, China.International journal of environmental research and public health · 2018
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  14. Review
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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 at 2 institutions in 1 country.

Shen KeCollege of Life Sciences and Bioengineering, School of Science, Beijing Jiaotong University, Beijing, 100044, People's Republic of China. shke@bjtu.edu.cn.
Xi-Yu ChengCollege of Life Sciences and Bioengineering, School of Science, Beijing Jiaotong University, Beijing, 100044, People's Republic of China. xycheng@bjtu.edu.cn.
Jie-Ying ZhangCollege of Life Sciences and Bioengineering, School of Science, Beijing Jiaotong University, Beijing, 100044, People's Republic of China. 13121589@bjtu.edu.cn.
Wen-Jing JiaCollege of Life Sciences and Bioengineering, School of Science, Beijing Jiaotong University, Beijing, 100044, People's Republic of China. 12121628@bjtu.edu.cn.
Hao LiCollege of Life Sciences and Bioengineering, School of Science, Beijing Jiaotong University, Beijing, 100044, People's Republic of China. 12121666@bjtu.edu.cn.
Hui-Fang LuoCollege of Life Sciences and Bioengineering, School of Science, Beijing Jiaotong University, Beijing, 100044, People's Republic of China. 4121589@bjtu.edu.cn.
Peng-He GeCollege of Life Sciences and Bioengineering, School of Science, Beijing Jiaotong University, Beijing, 100044, People's Republic of China. phge1000@126.com.
Ze-Min LiuState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, People's Republic of China. zmliu1000@163.com.
Hong-Mei WangState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, People's Republic of China. hmwang1000@163.com.
Jin-Sheng HeCollege of Life Sciences and Bioengineering, School of Science, Beijing Jiaotong University, Beijing, 100044, People's Republic of China. jshhe@bjtu.edu.cn.
Zhi-Nan ChenCollege of Life Sciences and Bioengineering, School of Science, Beijing Jiaotong University, Beijing, 100044, People's Republic of China. chen_zhinan56@163.com.
Beijing Jiaotong University · CNChinese Research Academy of Environmental Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundItai-itai disease primarily results from cadmium (Cd) exposure and is known as one of the four major pollution diseases in Japan. Cd pollution is more serious in several areas of China than in Japan. However, there is still a lack of information regarding the threshold level of Cd exposure for the adverse health effects in the general Chinese population. This study aims to evaluate the reference value of urinary Cd (UCd) for renal dysfunction in a Chinese population as the benchmark dose lower confidence limit (BMDL) based on a large sample survey.

methodsA total of 6103 participants who lived in five Cd polluted areas of China participated in this study. We analyzed UCd levels as a biomarker of exposure and urinary β2-microglobulin (Uβ2-MG) levels as a renal tubular effect biomarker. The BMD studies were performed using BMD software. The benchmark response (BMR) was defined as a 10% additional risk above the background.

resultsThere was a positive correlation between the UCd levels and the prevalence of Uβ2-MG. The BMD of UCd for Uβ2-MG was estimated for each province. The findings showed that the BMD levels were related to the participants' geographic region, which may be partially due to the large differences in Cd exposure level, ethnic group, lifestyle and diet of the sample population in these study areas. The reference level of UCd for the renal effects was further evaluated by combining the five sets of data from all 6103 subjects. The overall BMDLs of UCd for Uβ2-MG with an excess risk of 10% were 2.00 μg/g creatinine (μg/g cr) in males and 1.69 μg/g cr in females, which were significantly lower than the World Health Organization (WHO) threshold level of 5 μg/g cr for Cd-related renal effects.

conclusionsThe selection of the sample population and geographic region affected the BMDL evaluation. Based on the findings of this survey of a large sample population, the UCd BMDLs for Uβ2-MG in males with BMRs at 10% were 2.00 μg/g cr. The BMD was slightly lower in females, which indicated that females may be relatively more sensitive to Cd exposure than males.

Indexed as

AdultAgedAged, 80 and overbeta 2-MicroglobulinBiomarkersCadmiumChinaEnvironmental ExposureEnvironmental PollutionFemaleHazardous SubstancesHumansKidney DiseasesMaleMiddle AgedPrevalencebeta 2-MicroglobulinBiomarkersCadmiumHazardous Substances

Identifiers

PMID26169263
PMCPMC4499937
OpenAlexW1511567199

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.