Evidence map›Paper›PMID 38075601›Full record

ArticleEco-Environment & Health2022

Prenatal metal mixture exposure and birth weight: A two-stage analysis in two prospective cohort studies.

Jie Hu, George D Papandonatos, Tongzhang Zheng, Joseph M Braun, Bin Zhang, Wenyu Liu, Chuansha Wu, Aifen Zhou, Simin Liu, Stephen L Buka and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Eco-Environment & Health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

14 authors at 4 institutions in 2 countries.

Jie HuKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
George D PapandonatosDepartment of Biostatistics, Brown University School of Public Health, Providence, RI 02903, USA.
Tongzhang ZhengDepartment of Epidemiology, Brown University School of Public Health, Providence, RI 02903, USA.
Joseph M BraunDepartment of Epidemiology, Brown University School of Public Health, Providence, RI 02903, USA.
Bin ZhangWuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Wuhan 430019, China.
Wenyu LiuKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Chuansha WuKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Aifen ZhouDivision of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Simin LiuDepartment of Epidemiology, Brown University School of Public Health, Providence, RI 02903, USA.
Stephen L BukaDepartment of Epidemiology, Brown University School of Public Health, Providence, RI 02903, USA.
Kunchong ShiDepartment of Epidemiology, Brown University School of Public Health, Providence, RI 02903, USA.
Wei XiaKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Shunqing XuKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Yuanyuan LiKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Brown University · USMinistry of Ecology and Environment · CNBrigham and Women's Hospital · USWuhan Children's Hospital · CN

Funding

Early life perfluoroalkyl substance exposure & obesity: Mechanisms & phenotypingR01ES025214 · NIEHS · BROWN UNIVERSITY · PI BRAUN, JOSEPH M · 2016 to 2020
$3.1M
Endocrine Disrupting Chemicals, Thyroid Hormones, and Child NeurobehaviorR01ES024381 · NIEHS · BROWN UNIVERSITY · PI BRAUN, JOSEPH M · 2015 to 2018
$2.4M
NIEHS NIH HHS R01 ES024381NIEHS NIH HHS R01 ES025214
6 · The paper itself

Abstract

The understanding of the impact of prenatal exposure to metal mixtures on birth weight is limited. We aimed to identify metal mixture components associated with birth weight and to determine additional pairwise interactions between metals showing such associations. Concentrations of 18 metals were measured using inductively coupled plasma mass spectrometry in urine samples collected in the 3rd trimester from a prenatal cohort (discovery; n = 1849) and the Healthy Baby Cohort (replication; n = 7255) in Wuhan, China. In the discovery set, we used two penalized regression models, i.e., elastic net regression for main effects and a lasso for hierarchical interactions, to identify important mixture components associated with birth weight, which were then replicated. We observed that 8 of the 18 measured metals were retained by elastic net regression, with five metals (vanadium, manganese, iron, cesium, and barium) showing negative associations with Z-scores for birth weight and three metals (cobalt, zinc, and strontium) showing positive associations. In replication set, associations remained significant for vanadium (

Indexed as

Birth cohortMetal mixturePrenatal exposureTwo-stage analysis

Identifiers

PMID38075601
PMCPMC10702918
OpenAlexW4302424465

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.