Evidence map›Paper›PMID 33650052›Full record

ArticleEnvironmental science and pollution research international2021

Association between ambient air pollution and mortality from chronic obstructive pulmonary disease in Wuhan, China: a population-based time-series study.

Yaqiong Yan, Lu She, Yan Guo, Yuanyuan Zhao, Pei Zhang, Bing Xiang, Jing Zeng, Mei Yang, Liang Wang

Abstract read
In one paragraph

Article 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 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Exposure-response relationship between ambient PMFrontiers in public health · 2026
    Article
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  5. Review
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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

9 authors.

Yaqiong Yan *Wuhan Centers for Disease Control and Prevention, No.288 Machang Road, Wuhan, China.
Lu She *School of Medicine, Wuhan University of Science and Technology, No.947 Heping Road, Wuhan, China.
Yan GuoWuhan Centers for Disease Control and Prevention, No.288 Machang Road, Wuhan, China.
Yuanyuan ZhaoWuhan Centers for Disease Control and Prevention, No.288 Machang Road, Wuhan, China.
Pei ZhangSchool of Medicine, Wuhan University of Science and Technology, No.947 Heping Road, Wuhan, China.
Bing XiangSchool of Medicine, Wuhan University of Science and Technology, No.947 Heping Road, Wuhan, China.
Jing ZengSchool of Medicine, Wuhan University of Science and Technology, No.947 Heping Road, Wuhan, China.
Mei YangSchool of Medicine, Wuhan University of Science and Technology, No.947 Heping Road, Wuhan, China. 644593079@qq.com.ORCID http://orcid.org/0000-0003-4911-8205
Liang WangWuhan Centers for Disease Control and Prevention, No.288 Machang Road, Wuhan, China. 519918393@qq.com.

Funding

Basic Applied Research Project of Wuhan Science and Technology Bureau 2015061701011631Emergency Research Fund for Novel Coronavirus Pneumonia Prevention and Control of Wuhan Municipal Health Commission EG20A04Scientific Research Program of Hubei Education Department B2020006Scientific Research Project of Hubei Provincial Health and Family Planning Commission WJ2019F011
6 · The paper itself

Abstract

Evidence on the short-term effects of ambient air pollution on chronic obstructive pulmonary disease (COPD) mortality is still not conclusive. The aim of this study was to investigate the relationships between them in Wuhan China. Daily death numbers, concentrations of air pollutants (PM

Indexed as

Air pollutionAmbientCOPDMortalityShort-term effectsTime-series

Identifiers

PMID33650052
PMCPMC7920403

What OpenQuestion holds

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Registered trials

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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.