Evidence map›Paper›PMID 32589456›Full record

ArticleEnvironmental health perspectives2020

Health Effects of Asian Dust: A Systematic Review and Meta-Analysis.

Masahiro Hashizume, Yoonhee Kim, Chris Fook Sheng Ng, Yeonseung Chung, Lina Madaniyazi, Michelle L Bell, Yue Leon Guo, Haidong Kan, Yasushi Honda, Seung-Muk Yi and 2 more

Open access · diamondAbstract readComment
In one paragraph

Article in Environmental health perspectives, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
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  15. Antioxidants (Basel, Switzerland) · 2024
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  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 9 institutions in 5 countries.

Masahiro HashizumeDepartment of Global Health Policy, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Yoonhee KimDepartment of Global Environmental Health, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
Chris Fook Sheng NgSchool of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
Yeonseung ChungDepartment of Mathematical Sciences, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.
Lina MadaniyaziSchool of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
Michelle L BellSchool of Forestry and Environmental Studies, Yale University, New Haven, Connecticut, USA.
Yue Leon GuoEnvironmental and Occupational Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan.
Haidong KanDepartment of Environmental Health, School of Public Health, Fudan University, Shanghai, China.
Yasushi HondaFaculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Seung-Muk YiGraduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Ho KimGraduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Yuji NishiwakiDepartment of Environmental and Occupational Health, School of Medicine, Toho University, Tokyo, Japan.
Nagasaki University · JPSeoul National University · KRFudan University · CNKorea Advanced Institute of Science and Technology · KRNational Taiwan University Hospital · TWThe University of Tokyo · JPToho University · JPUniversity of Tsukuba · JPYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPotential adverse health effects of Asian dust exposure have been reported, but systematic reviews and quantitative syntheses are lacking.

objectiveWe reviewed epidemiologic studies that assessed the risk of mortality, hospital admissions, and symptoms/dysfunction associated with exposure to Asian dust.

methodsWe performed a systematic search of PubMed and Web of Science to identify studies that reported the association between Asian dust exposure and human health outcomes. We conducted separate meta-analyses using a random-effects model for mortality and hospital admissions for a specific health outcome and assessed pooled estimates for each lag when at least three studies were available for a specific lag.

resultsWe identified 89 studies that met our inclusion criteria for the systematic review, and 21 studies were included in the meta-analysis. The pooled estimates (percentage changes) of mortality from circulatory and respiratory causes for Asian dust days vs. non-Asian dust days were 2.33% [95% confidence interval (CI): 0.76, 3.93] increase at lag 0 and 3.99% (95% CI: 0.08, 8.06) increase at lag 3, respectively. The increased risk for hospital admissions for respiratory disease, asthma, and pneumonia peaked at lag 3 by 8.85% (95% CI: 0.80, 17.55), 14.55% (95% CI: 6.74, 22.94), and 8.51% (95% CI: 2.89, 14.44), respectively. Seven of 12 studies reported reduced peak expiratory flow, and 16 of 21 studies reported increased respiratory symptoms associated with Asian dust exposure. There were substantial variations between the studies in definitions of Asian dust, study designs, model specifications, and confounder controls. DISCUSSION: We found evidence of increased mortality and hospital admissions for circulatory and respiratory events. However, the number of studies included in the meta-analysis was not large and further evidences are merited to strengthen our conclusions. Standardized protocols for epidemiological studies would facilitate interstudy comparisons. https://doi.org/10.1289/EHP5312.

Indexed as

COVID-19DustAsian PeopleHand DisinfectionHealthHumansIncomePandemicsSARS-CoV-2Dust

Identifiers

PMID32589456
PMCPMC7319773
OpenAlexW3037546989

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.