Evidence map›Paper›PMID 16284873›Full record

ArticleEuropean journal of epidemiology2005

Effect of gender, age, and severity of asthma attack on patterns of emergency department visits due to asthma by month and day of the week.

Akerke Baibergenova, Lehana Thabane, Noori Akhtar-Danesh, Mitchell Levine, Amiram Gafni, Rahim Moineddin, Indra Pulcins

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Article in European journal of epidemiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 90% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Akerke BaibergenovaDepartment of Clinical Epidemiology and Biostatistics, McMaster University, Faculty of Health Sciences, L8N 3Z5, Hamilton, ON, Canada. baibera@mcmaster.ca
Lehana Thabane
Noori Akhtar-Danesh
Mitchell Levine
Amiram Gafni
Rahim Moineddin
Indra Pulcins
McMaster University · CACanadian Institute for Health Information · CASt. Joseph’s Healthcare Hamilton · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the pattern and strength of seasonal fluctuations in emergency department (ED) visits due to asthma, by month and day of the week, by the patient's age, gender, and severity of asthma attack.

methodsTime series analysis of ED visits was conducted among patients with asthma aged from 18 to 55 years who visited Ontario EDs between April 1, 2001 and March 31, 2004. Autoregressive regression models with months and days of the week as predictors were fitted for (1) all patients; (2) females and males separately; (3) each combination of gender and age group, and (4) each combination of gender and level of severity. The strength of seasonality in each group of patients was estimated from the R2-statistic derived from autoregression models.

resultsFor all patient groups, the highest number of ED visits occurred in October and December, and on Sundays and Mondays. Month of January and Fridays were associated with a decreased number of visits. The strength of seasonality was similar in men and women (R2 = 0.52), was the highest in young patients and decreased with age, in men more rapidly than in women. Severe cases of asthma attacks exhibited weaker seasonality (R2 = 0.30) compared to mild (R2 = 0.45) or moderate (R2 = 0.53) cases.

conclusionThe strength of seasonal patterns of asthma ED visits is influenced by age and the severity of attack, and to a lesser extent, gender. Understanding the significance of seasonal precipitants of asthma in different patients subgroups could lead to better management strategies.

Indexed as

PeriodicitySeverity of Illness IndexAcute DiseaseAdolescentAdultAge FactorsAsthmaCanadaEmergency Service, HospitalFemaleHumansMaleMiddle AgedSeasonsSex Factors

Identifiers

PMID16284873
OpenAlexW2000104859

What OpenQuestion holds

Textmetadata
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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.