Evidence map›Paper›PMID 34227005›Full record

SynthesisEnvironmental science and pollution research international2021

Association between long-term ambient air pollution exposure and the risk of breast cancer: a systematic review and meta-analysis.

Wu Wei, Bing-Jie Wu, Yue Wu, Zhu-Ting Tong, Fei Zhong, Cheng-Yang Hu

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 5 pooled it
–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

23 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Ambient Air Pollution Exposure and Breast Cancer Risk Worldwide: A Systematic Review of Longitudinal Studies.International journal of environmental research and public health · 2024
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Article
  9. FIGO committee opinion: Environmental drivers of gynecologic and reproductive health.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Article
  10. Article
  11. The Intersection of Socioeconomic and Environmental Factors in Aging: Insights from a Narrative Review.International journal of environmental research and public health · 2025
    Review
  12. Article
  13. Air Pollution and Breast Cancer Incidence in the Multiethnic Cohort Study.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Article
  14. Growing Evidence for the Role of Air Pollution in Breast Cancer Development.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Wu Wei *Department of Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China.
Bing-Jie Wu *Department of Oncology, Fuyang Hospital of Anhui Medical University, 99 Huangshan Road, Fuyang, 236000, China.
Yue WuDepartment of Traditional and Western Integrative Medicine Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China.
Zhu-Ting TongDepartment of Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China.
Fei ZhongDepartment of Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China. zhong_fei@126.com.
Cheng-Yang HuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China. cy.hu@ahmu.edu.cn.ORCID http://orcid.org/0000-0002-0052-9030

Funding

Key Projects of Natural Science Research of Anhui Provincial Department of Education KJ2020A0163
6 · The paper itself

Abstract

Breast cancer is a complex and multifactorial disease which stems significantly from both environmental and genetic factors. A growing number of epidemiological studies have suggested that ambient air pollution (AAP) exposure may play an important role in breast cancer development. However, no consistency has been reached concerning whether high levels of air pollutant exposure were related to increased breast cancer risk among the current evidence. To further clarify such association of long-term AAP exposure with risk of breast cancer, a systematic review and meta-analysis of available evidence was performed. An extensive literature search in 3 academic databases was conducted before March 10, 2020. The risk of bias (RoB) for each individual study was evaluated with a domain-based assessment tool, developed by the National Toxicology Program/Office of Health Assessment and Translation (NTP/OHAT). Meta-estimates for air pollutant-breast cancer combinations were calculated for a standardized increment in exposure by random-effect models. The confidence level in the body of evidence and the certainty of evidence was also assessed for each air pollutant-breast cancer combination. The initial search identified 5446 studies, and 18 of them were eligible. The pooled analysis found an increased risk of breast cancer was associated with an increase in each 10 μg/m

Indexed as

Air PollutantsAir PollutionBreast NeoplasmsEnvironmental ExposureFemaleHumansNitrogen DioxideParticulate MatterAir PollutantsNitrogen DioxideParticulate MatterAir pollutionBreast cancerMeta-analysisSystematic review

Identifiers

What OpenQuestion holds

Textmetadata
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.