Evidence map›Paper›PMID 23931674›Full record

ArticleRespirology (Carlton, Vic.)2014

Association of hospitalizations for asthma with seasonal and pandemic influenza.

Alicia K Gerke, Ming Yang, Fan Tang, Eric D Foster, Joseph E Cavanaugh, Philip M Polgreen

Abstract readMulticenter Study
In one paragraph

Article in Respirology (Carlton, Vic.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 34% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
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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

6 authors at 2 institutions in 1 country.

Alicia K GerkeDepartment of Internal Medicine, University of Iowa, Iowa City, Iowa, USA.
Ming Yang
Fan Tang
Eric D Foster
Joseph E Cavanaugh
Philip M Polgreen
University of Iowa · USHarvard University · US

Funding

Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Brandi Janssen · 1990 to 2026
$40.5M
University of Iowa Clinical and Translational Science Program (KL2)KL2RR024980 · NCRR · UNIVERSITY OF IOWA · PI ROSENTHAL, GARY E · 2007 to 2011
$4.6M
Social Networks and the Spread of Influenza and other Nosocomial InfectionsK01AI075089 · NIAID · UNIVERSITY OF IOWA · PI POLGREEN, PHILIP M. · 2008 to 2012
$733k
A National Registry to Support Sarcoidosis InvestigationsK23HL114640 · NHLBI · UNIVERSITY OF IOWA · PI GERKE, ALICIA · 2013 to 2016
$542k
NCRR NIH HHS 1KL2RR024980NCRR NIH HHS KL2 RR024980NHLBI NIH HHS K23 HL114640NIAID NIH HHS K01 AI075089NIAID NIH HHS K01 AI75089NIEHS NIH HHS P30 ES005605
6 · The paper itself

Abstract

BACKGROUND AND

objectiveAlthough influenza has been associated with asthma exacerbations, it is not clear the extent to which this association affects health care use in the United States. The first goal of this project was to determine whether, and to what extent, the incidence of asthma hospitalizations is associated with seasonal variation in influenza. Second, we used influenza trends (2000-2008) to help predict asthma admissions during the 2009 H1N1 influenza pandemic.

methodsWe identified all hospitalizations between 1998 and 2008 in the Nationwide Inpatient Sample from the Healthcare Cost and Utilization Project during which a primary diagnosis of asthma was recorded. Separately, we identified all hospitalizations during which a diagnosis of influenza was recorded. We performed time series regression analyses to investigate the association of monthly asthma admissions with influenza incidence. Finally, we applied these time series regression models using 1998-2008 data, to forecast monthly asthma admissions during the 2009 influenza pandemic.

resultsBased on time series regression models, a strong, significant association exists between concurrent influenza activity and incidence of asthma hospitalizations (P-value < 0.0001). Use of influenza data to predict asthma admissions during the 2009 H1N1 pandemic improved the mean squared prediction error by 60.2%.

conclusionsInfluenza activity in the population is significantly associated with asthma hospitalizations in the United States, and this association can be exploited to more accurately forecast asthma admissions. Our results suggest that improvements in influenza surveillance, prevention and treatment may decrease hospitalizations of asthma patients.

Indexed as

ForecastingPandemicsSeasonsAdolescentAdultAgedAsthmaFemaleFollow-Up StudiesHospitalizationHumansIncidenceInfluenza, HumanMaleMiddle AgedRetrospective Studiesasthmaforecastinghealth-care utilizationinfluenzaresource allocation

Identifiers

PMID23931674
PMCPMC3877191
OpenAlexW1521024115

What OpenQuestion holds

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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.