Evidence map›Paper›PMID 32206068›Full record

ArticleARYA atherosclerosis2019

The association between particulate matter 2.5 and hospitalization and mortality rates of heart failure: The CAPACITY study.

Nafise Moein, Mohammad Garakyaraghi, Davood Shafie, Katayoun Rabiei, Sayed Mohsen Hosseini, Tohid Jafari-Koshki, Mojtaba Rahimi, Babak Sadeghian, Mahshid Givi, Nizal Sarrafzadegan

Abstract read
In one paragraph

Article in ARYA atherosclerosis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Associations between short-term PMFrontiers in public health · 2023
    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

10 authors.

Nafise MoeinCardiologist, Cardiac Rehabilitation Research Center, Cardiovascular Research Institute AND Department of Cardiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohammad GarakyaraghiHeart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
Davood ShafieHeart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
Katayoun RabieiIsfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
Sayed Mohsen HosseiniDepartment of Biostatistics and Epidemiology, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran.
Tohid Jafari-KoshkiRoad Traffic Injury Research Center AND Department of Statistics and Epidemiology, School of Health, Tabriz University of Medical Sciences, Tabriz, Iran.
Mojtaba RahimiDepartment of Anesthesiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Babak SadeghianCentral Laboratory and Air Pollution Monitoring, Isfahan Province Environmental Monitoring Center, Isfahan Department of Environment, Isfahan, Iran.
Mahshid GiviHeart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
Nizal SarrafzadeganIsfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsidering the high concentrations of pollutants in large cities of Iran and the high prevalence of heart failure (HF) among Iranians, especially with increasing life expectancy, this study investigated the relationship between airborne contaminants with a diameter < 2.5 µm or particulate matter 2.5 (PM2.5) and hospitalization and mortality in patients with HF in Isfahan, Iran, during 2011.

methodsThis ecological study was carried out on a part of data from the CAPACITY study. A total of 275 patients with HF were randomly selected from 840 subjects with International Statistical Classification of Diseases, 10th Revision (ICD-10) diagnosis code I50 in the CAPACITY study. Patients' records were evaluated and their clinical characteristics, disease history, and laboratory and echocardiographic findings were extracted. Air pollution and climatic data were extracted from the CAPACITY study. Poisson regression was used in crude and adjusted models to evaluate the association between PM2.5 and study outcomes. All analyses were performed using crude models and models adjusted for temperature, dew point, and wind speed.

results54.9% (n = 151) were men with mean age of 70.4 ± 13.7 years. While most patients (85.8%) were discharged after recovery, 14.2% of the patients died in the hospital. Blood glucose, heart rate, and ejection fraction (EF) were significantly higher on unhealthy days than normal days. Regression analysis revealed no significant relationships between hospitalization and mortality rates and PM2.5 concentrations on healthy days, unhealthy days for sensitive people, and unhealthy days.

conclusionThe model used in our study revealed no significant relationships between PM2.5 concentrations and hospital admission on healthy days, unhealthy days for sensitive people, and unhealthy days.

Indexed as

HospitalizationMortalityParticulate Matter

Identifiers

PMID32206068
PMCPMC7073800

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.