Evidence map›Paper›PMID 40567272›Full record

ArticleEnvironment & health (Washington, D.C.)2025

Brominated Flame Retardants Exposure Promotes the Formation of Atherosclerotic Plaque in Aortic Roots of

Shasha Li, Dongyuan Bian, Hongqi Deng, Junkai Guo, Xiaobing Wu, Hao Liu, Rui Wen, Yiyan Li, Nan Liu, Suli Huang and 1 more

Abstract read
In one paragraph

Article in Environment & health (Washington, D.C.), 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
–field-weighted citation impact
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.

  1. Article
  2. 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

11 authors.

Shasha LiSchool of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China.
Dongyuan BianSchool of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China.
Hongqi DengSchool of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China.
Junkai GuoSchool of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China.
Xiaobing WuDepartment of Cardio-Cerebrovascular and Diabetes Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China.
Hao LiuSchool of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China.
Rui WenSchool of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China.
Yiyan LiSchool of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China.
Nan LiuInstitute of Environment and Health, South China Hospital, Shenzhen University Medical School, Shenzhen 518116, China.
Suli HuangSchool of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China.ORCID https://orcid.org/0000-0003-3864-308X
Guimiao LinSchool of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China.ORCID https://orcid.org/0000-0003-1699-1307

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brominated flame retardants (BFRs) are persistent organic pollutants worldwide. However, the effect of BFRs on the development of atherosclerosis is currently unknown. Here we aimed to investigate the effects of three typical BFRs (BDE-47, BDE-209, and DBDPE) on the development of atherosclerosis and explored the underlying mechanisms using an

Indexed as

AtherosclerosisBDE-209BDE-47Brominated flame retardantDBDPEPersistent organic pollutant

Identifiers

PMID40567272
PMCPMC12186205

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.