Evidence map›Paper›PMID 29080709›Full record

ArticleChest2018

Internet-Based Monitoring in the Severe Asthma Research Program Identifies a Subgroup of Patients With Labile Asthma Control.

Kelly Wong-McGrath, Loren C Denlinger, Eugene R Bleecker, Mario Castro, Ben Gaston, Elliot Israel, Nizar N Jarjour, David T Mauger, Stephen Peters, Brenda R Phillips and 4 more

Abstract read
In one paragraph

Article in Chest, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Evidence for Exacerbation-Prone Asthma and Predictive Biomarkers of Exacerbation Frequency.American journal of respiratory and critical care medicine · 2020
    Article
  4. Review
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

14 authors.

Kelly Wong-McGrathDivision of Pulmonary and Critical Care Medicine, Department of Medicine and the Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA.
Loren C DenlingerDivision of Allergy, Pulmonary, and Critical Care Medicine, University of Wisconsin School of Medicine. Madison, WI.
Eugene R BleeckerCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC.
Mario CastroDivision of Pulmonary and Critical Care Medicine, Departments of Medicine, Pediatrics, and Radiology, Washington University School of Medicine, St. Louis, MO.
Ben GastonDepartment of Pediatrics, Rainbow Babies and Children's Hospital, Cleveland, OH.
Elliot IsraelDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Nizar N JarjourDivision of Allergy, Pulmonary, and Critical Care Medicine, University of Wisconsin School of Medicine. Madison, WI.
David T MaugerDivision of Statistics and Bioinformatics, Department of Public Health Sciences, Pennsylvania State University, Hershey.
Stephen PetersCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC.
Brenda R PhillipsDivision of Statistics and Bioinformatics, Department of Public Health Sciences, Pennsylvania State University, Hershey.
Sally E WenzelPulmonary, Allergy and Critical Care Medicine Division, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
John V FahyDivision of Pulmonary and Critical Care Medicine, Department of Medicine and the Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA.
Michael C PetersDivision of Pulmonary and Critical Care Medicine, Department of Medicine and the Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA. Electronic address: michael.peters@ucsf.edu.
National Heart Lung and Blood Institute’s Severe Asthma Research Program-3 Investigators

Funding

Understanding Asthma EndotypesU19AI077439 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI David J Erle · 2008 to 2026
$41.1M
Role of miRNAs in Th2-Driven inflammation in AsthmaP01HL107202 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FAHY, JOHN V · 2012 to 2023
$23.3M
PEDIATRIC ASTHMA NETWORK DATA COORDINATING CENTERU10HL064313 · NHLBI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI MAUGER, DAVID T. · 1999 to 2008
$18.3M
UCSF Nutrition Obesity Research CenterP30DK098722 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTIAN VAISSE · 2015 to 2026
$14.6M
Protein carbohydrate interactions in the pathophysiology of asthma exacerbationsR01HL080414 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI John V Fahy · 2005 to 2026
$9.2M
Clinical Coordinating Center for the Severe Asthma Research Program (SARP)U10HL109086 · NHLBI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI MAUGER, DAVID T. · 2011 to 2017
$8.1M
AMSA: ALXR/FBR Mediated Signaling in Severe AsthmaU10HL109172 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI ISRAEL, ELLIOT, LEVY, BRUCE D · 2011 to 2016
$4.2M
Airway redox biochemistry as a deteriminant of asthma phenotype during adolescen*U10HL109250 · NHLBI · UNIVERSITY OF VIRGINIA · PI ERZURUM, SERPIL C., GASTON, BENJAMIN · 2011 to 2016
$4.2M
Clinical and Molecular Phenotypes of Severe AsthmaU10HL109146 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FAHY, JOHN V · 2011 to 2016
$4.0M
Implications and Stability of Clinical and Molecular Phenotypes of Severe AsthmaU10HL109152 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WENZEL, SALLY E · 2011 to 2016
$3.9M
Stability of Severe Asthma Phenotypes: Impact of ExacerbationsU10HL109168 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI JARJOUR, NIZAR N · 2011 to 2016
$3.9M
Severe Asthma Research Program (SARP)-Washington UniversityU10HL109257 · NHLBI · WASHINGTON UNIVERSITY · PI CASTRO, MARIO · 2011 to 2016
$3.8M
NHLBI NIH HHS K23 HL138303NHLBI NIH HHS L30 HL124593NHLBI NIH HHS P01 HL107202NHLBI NIH HHS R01 HL080414NHLBI NIH HHS U10 HL064313NHLBI NIH HHS U10 HL109086NHLBI NIH HHS U10 HL109146NHLBI NIH HHS U10 HL109152NHLBI NIH HHS U10 HL109164NHLBI NIH HHS U10 HL109168NHLBI NIH HHS U10 HL109172NHLBI NIH HHS U10 HL109250NHLBI NIH HHS U10 HL109257NIAID NIH HHS U19 AI077439NIDDK NIH HHS P30 DK098722
6 · The paper itself

Abstract

backgroundWe designed an Internet-Based Monitoring Systems (IBS) survey to facilitate monitoring of asthma symptoms and asthma exacerbations in the Severe Asthma Research Program (SARP). Our objective was to evaluate compliance with the IBS survey tool and to explore how data from an IBS tool can inform understanding of asthma phenotypes.

methodsWe invited adult subjects in the SARP III cohort (N = 528) to complete a monthly IBS asthma control survey. We compared the characteristics of subjects who did and those who did not participate in the IBS survey tool. Among subjects who participated in the IBS (IBS+), we identified participants with low, medium, and high Asthma Control Test (ACT) score variability, and we explored asthma morbidity in these three participant subgroups.

resultsTwo hundred fifty-nine subjects participated in the IBS (IBS+) survey. Compared with subjects who did not engage with the IBS (IBS-) survey, IBS+ subjects were older and more likely to be white, college educated, and have an annual household income > $25,000, and have controlled asthma. Among IBS+ participants, the subgroup with the highest ACT score variability was more likely to have severe asthma, with a lower ACT score at baseline and increased asthma-related health-care use (often precipitated by cold and flulike illnesses). Participants with high ACT variability were also characterized by metabolic dysfunction, as evidenced by obesity and hypertension.

conclusionsActive participation with an Internet-based symptom survey tool in patients with severe asthma is influenced by race, socioeconomic status, and asthma control. Among survey participants, a group with highly variable (labile) asthma control is identifiable as a specific subgroup with unmet treatment needs. The association of asthma lability, increased susceptibility to adverse asthma effects of cold and flulike illnesses, and metabolic dysfunction provides clues for potentially effective intervention strategies.

Indexed as

InternetPatient Acceptance of Health CareAdolescentAdultAgedAged, 80 and overAsthmaChildFemaleHumansMaleMiddle AgedProspective StudiesSelf CareSocioeconomic FactorsYoung Adultasthma controlInternet-based monitoringlabile asthmametabolic dysfunctionobesity

Identifiers

PMID29080709
PMCPMC5815875

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.