Evidence map›Paper›PMID 28476140›Full record

ArticleBMC public health2017

Anemia risk in relation to lead exposure in lead-related manufacturing.

Nan-Hung Hsieh, Shun-Hui Chung, Szu-Chieh Chen, Wei-Yu Chen, Yi-Hsien Cheng, Yi-Jun Lin, Su-Han You, Chung-Min Liao

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 13% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 86 citations in OpenAlex.

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  10. [Research progress on metal pollutants inducing neurotoxicity through ferroptosis].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2024
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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

8 authors at 7 institutions in 2 countries.

Nan-Hung HsiehDepartment of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, 77845, USA.
Shun-Hui ChungInstitute of Labor, Occupational Safety and Health, Ministry of Labor, New Taipei City, 22143, Taiwan, ROC.
Szu-Chieh ChenDepartment of Public Health, Chung Shan Medical University, Taichung, 40242, Taiwan, ROC.
Wei-Yu ChenDepartment of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan, ROC.
Yi-Hsien ChengInstitute of Computational Comparative Medicine, Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas, 66506, USA.
Yi-Jun LinDepartment of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 10617, Taiwan, ROC.
Su-Han YouNational Environmental Health Research Center, National Health Research Institutes, Miaoli County, 35053, Taiwan, ROC.
Chung-Min LiaoDepartment of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 10617, Taiwan, ROC. cmliao@ntu.edu.tw.
National Taiwan University · TWChung Shan Medical University Hospital · TWInstitute of Labor, Occupational Safety And Health, Ministry of Labor · TWKansas State University · USKaohsiung Medical University · TWNational Health Research Institutes · TWTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLead-exposed workers may suffer adverse health effects under the currently regulated blood lead (BPb) levels. However, a probabilistic assessment about lead exposure-associated anemia risk is lacking. The goal of this study was to examine the association between lead exposure and anemia risk among factory workers in Taiwan.

methodsWe first collated BPb and indicators of hematopoietic function data via health examination records that included 533 male and 218 female lead-exposed workers between 2012 and 2014. We used benchmark dose (BMD) modeling to estimate the critical effect doses for detection of abnormal indicators. A risk-based probabilistic model was used to characterize the potential hazard of lead poisoning for job-specific workers by hazard index (HI). We applied Bayesian decision analysis to determine whether BMD could be implicated as a suitable BPb standard.

resultsOur results indicated that HI for total lead-exposed workers was 0.78 (95% confidence interval: 0.50-1.26) with risk occurrence probability of 11.1%. The abnormal risk of anemia indicators for male and female workers could be reduced, respectively, by 67-77% and 86-95% by adopting the suggested BPb standards of 25 and 15 μg/dL.

conclusionsWe conclude that cumulative exposure to lead in the workplace was significantly associated with anemia risk. This study suggests that current BPb standard needs to be better understood for the application of lead-exposed population protection in different scenarios to provide a novel standard for health management. Low-level lead exposure risk is an occupational and public health problem that should be paid more attention.

Indexed as

Manufacturing and Industrial FacilitiesAdultAnemiaBayes TheoremFemaleHumansLeadMaleMiddle AgedOccupational ExposureRiskTaiwanLeadBenchmark doseBlood leadDecision analysisHealth managementProbabilistic risk assessment

Identifiers

PMID28476140
PMCPMC5420139
OpenAlexW2611174826

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.