Evidence map›Paper›PMID 34491504›Full record

ReviewEnvironmental science and pollution research international2021

Meta-analyses of maternal exposure to atmospheric particulate matter and risk of congenital anomalies in offspring.

Guangxia Yu, Yao Chen, Jianping Tang, Zhifeng Lin, Fuli Zheng, Chunyan Zheng, Jinfu Zhou, Qianqian Su, Siying Wu, Huangyuan Li

Abstract readReview
PubMed Publisher
In one paragraph

Review 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 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Particulate matter-induced epigenetic modifications and lung complications.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  6. Review
  7. Environmental Signals.Advances in experimental medicine and biology · 2024
    Article
  8. Article
  9. Observational
  10. 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

10 authors.

Guangxia Yu *Fujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, China.
Yao Chen *Fujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, China.
Jianping TangFujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, China.
Zhifeng LinDepartment of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, 350122, China.
Fuli ZhengFujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, China.
Chunyan ZhengFujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, China.
Jinfu ZhouFujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, China.
Qianqian SuFujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, China.
Siying WuFujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, China. sywu@fjmu.edu.cn.
Huangyuan LiFujian Key Lab of Environmental Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, China. lhy@fjmu.edu.cn.

Funding

National Natural Science Foundation of China 22006019National Natural Science Foundation of China 81973083Natural Science Foundation of Ningbo (CN) 2018A610317Natural Science Foundation of Zhejiang Province LQ19H260002The Joint Funds for the innovation of science and Technology, Fujian province 2017Y9105
6 · The paper itself

Abstract

Congenital anomalies are the main causes of infant death and disability. Previous studies have suggested that maternal exposure to particulate matter is related to congenital malformation. However, the conclusions of this study remain controversial. Hence, meta-analyses were performed to assess the relationship between maternal exposure to particulate matter and the risk of congenital anomalies. The Medline, Embase, and Web of Science databases were systemically searched from inception until August 2020 to find articles related to birth defects and particulate matter. The pooled risk estimated for the combination of pollution outcomes was calculated for each study by performing fixed effects or random effects models. The existence of heterogeneity and publication bias in relevant studies was also examined. Thirty studies were included in the analysis. A statistically increased summary risk valuation was found. PM

Indexed as

Heart Defects, CongenitalParticulate MatterFemaleHumansMaternal ExposurePregnancyParticulate MatterCongenital anomaliesMeta-analysesPM10PM2.5Trimester exposure

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.