Evidence map›Paper›PMID 33886613›Full record

ArticlePloS one2021

Respiratory diseases are positively associated with PM2.5 concentrations in different areas of Taiwan.

Feifei Wang, Tianyi Chen, Qian Chang, Yi-Wei Kao, Jian Li, Mingchih Chen, Yang Li, Ben-Chang Shia

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 36 citations in OpenAlex.

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  7. Can Financial Institutional Deepening and Renewable Energy Consumption Lower COInternational journal of environmental research and public health · 2022
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  8. PMEnvironmental science and pollution research international · 2022
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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

8 authors at 2 institutions in 2 countries.

Feifei WangCenter for Applied Statistics, Renmin University of China, Beijing, China.
Tianyi ChenSchool of Statistics, Renmin University of China, Beijing, China.
Qian ChangSchool of Statistics, Renmin University of China, Beijing, China.
Yi-Wei KaoCollege of Management, Fu Jen Catholic University, Taipei, Taiwan.
Jian LiCollege of Management, Fu Jen Catholic University, Taipei, Taiwan.
Mingchih ChenCollege of Management, Fu Jen Catholic University, Taipei, Taiwan.
Yang LiCenter for Applied Statistics, Renmin University of China, Beijing, China.ORCID 0000-0002-6287-5094
Ben-Chang ShiaCollege of Management, Fu Jen Catholic University, Taipei, Taiwan.
Fu Jen Catholic University · TWRenmin University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The health effects associated with fine particulate matter (PM2.5) have attracted considerable public attention in recent decades. It has been verified that PM2.5 can damage the respiratory and cardiovascular systems and cause various diseases. While the association between diseases and PM2.5 has been widely studied, this work aims to analyze the association between PM2.5 and hospital visit rates for respiratory diseases in Taiwan. To this end, a disease mapping model that considers spatial effects is applied to estimate the association. The results show that there is a positive association between hospital visit rates and the PM2.5 concentrations in the Taiwanese population in 2012 after controlling for other variables, such as smoking rates and the number of hospitals in each region. This finding indicates that control of PM2.5 could decrease hospital visit rates for respiratory diseases in Taiwan.

Indexed as

Air PollutantsAir PollutionHospitalizationHumansModels, StatisticalParticulate MatterRespiration DisordersRisk FactorsTaiwanAir PollutantsParticulate Matter

Identifiers

PMID33886613
PMCPMC8062073
OpenAlexW3156005152

What OpenQuestion holds

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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.