Evidence map›Paper›PMID 38023386›Full record

ArticleGeoHealth2023

Prenatal Exposure to Heavy Metals and Adverse Birth Outcomes: Evidence From an E-Waste Area in China.

Chen Chen, Chaochen Ma, Qiyao Li, Jin Guo Hang, Jiantong Shen, Shoji F Nakayama, Teruhiko Kido, Yibin Lin, Hao Feng, Chau-Ren Jung and 2 more

Open access · goldAbstract read
In one paragraph

Article in GeoHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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 at 7 institutions in 6 countries.

Chen ChenSchool of Medicine, and Huzhou Key Laboratory for Precise Prevention and Control of Major Chronic Diseases Huzhou University Huzhou China.
Chaochen MaPricewaterhouseCoopers Aarata LLC Tokyo Japan.
Qiyao LiSchool of Medicine, and Huzhou Key Laboratory for Precise Prevention and Control of Major Chronic Diseases Huzhou University Huzhou China.
Jin Guo HangTaizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University Taizhou China.
Jiantong ShenSchool of Medicine, and Huzhou Key Laboratory for Precise Prevention and Control of Major Chronic Diseases Huzhou University Huzhou China.
Shoji F NakayamaJapan Environment and Children's Study Programme Office National Institute for Environmental Studies Tsukuba Japan.ORCID https://orcid.org/0000-0001-7772-0389
Teruhiko KidoFaculty of Health Sciences Institute of Medical, Pharmaceutical, and Health Sciences Kanazawa University Kanazawa Japan.
Yibin LinSchool of Medicine, and Huzhou Key Laboratory for Precise Prevention and Control of Major Chronic Diseases Huzhou University Huzhou China.
Hao FengSchool of Medicine Jiaxing University Jiaxing China.
Chau-Ren JungDepartment of Public Health College of Public Health China Medical University Taichung Taiwan.
Xian Liang SunSchool of Medicine, and Huzhou Key Laboratory for Precise Prevention and Control of Major Chronic Diseases Huzhou University Huzhou China.ORCID https://orcid.org/0000-0002-2138-7289
Jianlin LouSchool of Medicine, and Huzhou Key Laboratory for Precise Prevention and Control of Major Chronic Diseases Huzhou University Huzhou China.
Huzhou University · CNKanazawa University · JPChina Medical University · TWJiaxing University · CNNational Institute for Environmental Studies · JPPricewaterhouseCoopers (South Korea) · KRWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic waste that has not been properly treated can lead to environmental contamination including of heavy metals, which can pose risks to human health. Infants, a sensitive group, are highly susceptible to heavy metals exposure. The aim of this study was to investigate the association between prenatal heavy metal exposure and infant birth outcomes in an e-waste recycling area in China. We analyzed cadmium (Cd), chromium (Cr), manganese (Mn), lead (Pb), copper (Cu), and arsenic (As) concentrations in 102 human milk samples collected 4 weeks after delivery. The results showed that 34.3% of participants for Cr, which exceeds the World Health Organization (WHO) guidelines, as well as the mean exposure of Cr exceeded the WHO guidelines. We collected data on the birth weight (BW) and length of infants and analyzed the association between metal concentration in human milk and birth outcomes using multivariable linear regression. We observed a significant negative association between the Cd concentration in maternal milk and BW in female infants (

Indexed as

birth weightcadmiumelectronic wasteheavy metalshuman milkprenatal exposure

Identifiers

PMID38023386
PMCPMC10680130
OpenAlexW4389042689

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.