Evidence map›Paper›PMID 34326908›Full record

ArticleCanadian respiratory journal2021

Relationship between Air Pollution and Hospital Admissions for Chronic Obstructive Pulmonary Disease in Changchun, China: A Season-Stratified Case-Cross Study.

Ye Ju, Xinli Ma, Huibo Li, Shuang Liu, A Liya, Xinrong Guo

Open access · goldAbstract read
In one paragraph

Article in Canadian respiratory journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Involvement ofAnnals of translational medicine · 2022
    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

6 authors at 3 institutions in 1 country.

Ye JuDepartment of Nursing Care of the Second Hospital, Jilin University, Changchun City 130022, Jilin, China.ORCID 0000-0003-2866-7192
Xinli MaDepartment of Nursing Care of the Second Hospital, Jilin University, Changchun City 130022, Jilin, China.
Huibo LiCollege of Nursing, Beihua University, Jilin City 132208, Jilin, China.
Shuang LiuCollege of Nursing, Beihua University, Jilin City 132208, Jilin, China.
A LiyaCollege of Nursing, Beihua University, Jilin City 132208, Jilin, China.
Xinrong GuoDepartment of Nursing Care of the Second Hospital, Jilin University, Changchun City 130022, Jilin, China.ORCID 0000-0002-0942-776X
Beihua University · CNSecond Affiliated Hospital of Jilin University · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to explore the relationship between air pollution and hospital admissions for COPD in Changchun, a northeast city of China, in different seasons. Methods: The data on a total of 1,733 hospitalized patients living in Changchun with acute exacerbation of COPD from September 2013 to April 2018 were collected from a comprehensive 3A hospital of Changchun. Daily average concentrations of PM2.5, PM10, SO Results: The maximum OR value for most air pollutants emitted in spring was on lag day 4, in summer and autumn on lag day 3, and in winter on lag day 2. In spring, SO Conclusion: The relationship between air pollution and hospital admission for COPD in Northeast China varies with different seasons. In spring, NO

Indexed as

AgedAged, 80 and overAir PollutantsAir PollutionChinaFemaleHospitalizationHospitalsHumansMaleMiddle AgedNitrogen DioxideParticulate MatterPulmonary Disease, Chronic ObstructiveSeasonsAir PollutantsNitrogen DioxideParticulate Matter

Identifiers

PMID34326908
PMCPMC8302390
OpenAlexW3186248290

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.