Evidence map›Paper›PMID 32373333›Full record

SynthesisJournal of global health2020

Exposure to air pollution and cognitive impairment risk: a meta-analysis of longitudinal cohort studies with dose-response analysis.

Xiaohui Yu, Liwen Zheng, Wenjie Jiang, Dongfeng Zhang

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Impact of air pollution and climate change on mental health outcomes: an umbrella review of global evidence.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

4 authors.

Xiaohui YuDepartment of Epidemiology and Health Statistics, the School of Public Health of Qingdao University, People's Republic of China.
Liwen ZhengDepartment of Epidemiology and Health Statistics, the School of Public Health of Qingdao University, People's Republic of China.
Wenjie JiangDepartment of Epidemiology and Health Statistics, the School of Public Health of Qingdao University, People's Republic of China.
Dongfeng ZhangDepartment of Epidemiology and Health Statistics, the School of Public Health of Qingdao University, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe conducted a meta-analysis to explore the relationship between exposure to air pollution and the risk of cognitive impairment of longitudinal cohort studies.

methodsPubMed, Web of Science and Wan Fang databases were searched for relevant articles of longitudinal cohort studies published between January 1950 and September 2019. The pooled relative ratio (RR) and 95% confidence interval (CI) were calculated using the random effect model.

resultsTen articles involving 519 247 cases among 12 523 553 participants were included in this meta-analysis. The pooled RR of cognitive impairment per 5 μg/m

conclusionsThis meta-analysis suggests that exposure to PM

Indexed as

Air PollutionCognitive DysfunctionCohort StudiesEnvironmental ExposureHumansLongitudinal StudiesOzoneParticulate MatterOzoneParticulate Matter

Identifiers

PMID32373333
PMCPMC7182361

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.