Evidence map›Paper›PMID 28732014›Full record

ArticlePloS one2017

Association of time-serial changes in ambient particulate matters (PMs) with respiratory emergency cases in Taipei's Wenshan District.

Jer-Hwa Chang, Shih-Chang Hsu, Kuan-Jen Bai, Shau-Ku Huang, Chin-Wang Hsu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Efficacy of HEPA Air Cleaner on Improving Indoor Particulate Matter 2.5 Concentration.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Assessing PMEnvironmental science and pollution research international · 2021
    Article
  11. Article
  12. Article
  13. 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

5 authors at 2 institutions in 2 countries.

Jer-Hwa ChangDivision of Pulmonary Medicine, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Shih-Chang HsuEmergency Department, Department of Emergency and Critical Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.ORCID http://orcid.org/0000-0003-1010-1182
Kuan-Jen BaiDivision of Pulmonary Medicine, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Shau-Ku HuangNational Institute of Environmental Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.
Chin-Wang HsuEmergency Department, Department of Emergency and Critical Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.ORCID http://orcid.org/0000-0003-4973-1050
Wan Fang Hospital · TWJohns Hopkins University · US

Funding

HSRD VA CDA 10-014
6 · The paper itself

Abstract

Ambient air pollution poses a significant risk for a group of common and often debilitating respiratory diseases, but its direct impact on cause-specific respiratory diseases using emergency room visit (ERV) as an indicator remains to be fully explored. In this study, we conducted a time-series study of ambient PM2.5, NO2, SO2 and their association with ERV for asthma, COPD and pneumonia in a four-year time span. Relative risks for ERV as per log increase in the level of ambient pollutants with time lags of up to 10 days were calculated, using a generalized additive model of Poisson regression. Daily 24-h average concentrations of PM2.5 and pollutant gases were obtained from a local Gutting air quality monitoring station. Results showed that the ERVs for pneumonia and asthma were associated with the level of PM2.5. The effects of PM2.5 on the risk of ERV for asthma were found to be significant at lag days 1 and 2 with increasing risk of 4.34% [RR: 1.091; CI: 1.020-1.166 (95%)] and 3.58% [RR: 1.074; CI: 1.007-1.146 (95%)], respectively. The ERV for pneumonia was associated with the level of PM2.5 at lag days 5, 6 and 7, with increasing risk of 1.92% [RR: 1.039; CI: 1.009-1.070 (95%)], 2.03% [RR: 1.041; CI: 1.009-1.075 (95%)], and 1.82% [RR: 1.037; CI: 1.001-1.075 (95%)], respectively. Further, PM2.5, but not NO2 and SO2, posed a significant risk of ERV for asthma during spring at lag days 0, 1 and 2 (17.12%, RR: 1.408, CI: 1.075-1.238; 15.30%, RR: 1.358 CI: 1.158-1.166; 11.94%, RR: 1.165, CI: 1.004-1.121), which was particularly evident for those who were younger than 75 years of age. In contrast, only PM2.5 was a significant risk of ERV for COPD, which was primarily for those who were younger than 75 years of age during summer season at lag days 3, 4 and 5. (26.66%, RR: 1.704, CI: 1.104-2.632; 26.99%; RR: 1.716, CI: 1.151-2.557; 24.09%; RR: 1.619, CI: 1.111-2.360). Collectively, these results suggested significant seasonal variation and differential time lag effects of PM2.5 on ERV for asthma, COPD and pneumonia.

Indexed as

CitiesAgedAge FactorsAir PollutantsAir PollutionAsthmaEmergency Service, HospitalHumansNitrogen DioxideParticulate MatterPneumoniaPulmonary Disease, Chronic ObstructiveRegression AnalysisRiskSeasonsSulfur DioxideAir PollutantsNitrogen DioxideParticulate MatterSulfur Dioxide

Identifiers

PMID28732014
PMCPMC5521777
OpenAlexW2737322199

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.