Evidence map›Paper›PMID 31199303›Full record

ArticleJMIR research protocols2019

Aims, Study Design, and Enrollment Results From the Assessing Predictors of Infant Respiratory Syncytial Virus Effects and Severity Study.

Edward E Walsh, Thomas J Mariani, ChinYi Chu, Alex Grier, Steven R Gill, Xing Qiu, Lu Wang, Jeanne Holden-Wiltse, Anthony Corbett, Juilee Thakar and 5 more

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 16 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

15 authors at 1 institution in 1 country.

Edward E Walsh *University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.ORCID http://orcid.org/0000-0002-8792-8877
Thomas J Mariani *University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.ORCID http://orcid.org/0000-0001-5944-1298
ChinYi Chu *University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.ORCID http://orcid.org/0000-0002-2390-3937
Alex Grier *University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.ORCID http://orcid.org/0000-0003-0581-9851
Steven R Gill *University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.ORCID http://orcid.org/0000-0002-2408-1373
Xing Qiu *University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.ORCID http://orcid.org/0000-0002-2330-3544
Lu Wang *University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.ORCID http://orcid.org/0000-0002-1428-971X
Jeanne Holden-Wiltse *University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.ORCID http://orcid.org/0000-0003-2694-7465
Anthony Corbett *University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.ORCID http://orcid.org/0000-0001-9545-0853
Juilee Thakar *University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.ORCID http://orcid.org/0000-0003-4479-4183
Lauren BenoodtUniversity of Rochester School of Medicine and Dentistry, Rochester, NY, United States.ORCID http://orcid.org/0000-0002-8834-8970
Matthew N McCall *University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.ORCID http://orcid.org/0000-0002-2473-0943
David J Topham *University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.ORCID http://orcid.org/0000-0002-9435-8673
Ann R Falsey *University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.ORCID http://orcid.org/0000-0002-7141-9701
Mary T Caserta *University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.ORCID http://orcid.org/0000-0002-3813-0762
University of Rochester · US

Funding

VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Martha Susiarjo · 1985 to 2026
$42.8M
The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
Infection and Immunity: The Pathogenesis of Host-Microbe InteractionsT32AI118689 · NIAID · UNIVERSITY OF ROCHESTER · PI Paul M. Dunman, BRIAN M WARD · 2015 to 2026
$2.5M
NCATS NIH HHS UL1 TR002001NIAID NIH HHS HHSN272201200005CNIAID NIH HHS T32 AI118689NIEHS NIH HHS P30 ES001247
6 · The paper itself

Abstract

backgroundThe majority of infants hospitalized with primary respiratory syncytial virus (RSV) infection have no obvious risk factors for severe disease.

objectiveThe aim of this study (Assessing Predictors of Infant RSV Effects and Severity, AsPIRES) was to identify factors associated with severe disease in full-term healthy infants younger than 10 months with primary RSV infection.

methodsRSV infected infants were enrolled from 3 cohorts during consecutive winters from August 2012 to April 2016 in Rochester, New York. A birth cohort was prospectively enrolled and followed through their first winter for development of RSV infection. An outpatient supplemental cohort was enrolled in the emergency department or pediatric offices, and a hospital cohort was enrolled on admission with RSV infection. RSV was diagnosed by reverse transcriptase-polymerase chain reaction. Demographic and clinical data were recorded and samples collected for assays: buccal swab (cytomegalovirus polymerase chain reaction, PCR), nasal swab (RSV qualitative PCR, complete viral gene sequence, 16S ribosomal ribonucleic acid [RNA] amplicon microbiota analysis), nasal wash (chemokine and cytokine assays), nasal brush (nasal respiratory epithelial cell gene expression using RNA sequencing [RNAseq]), and 2 to 3 ml of heparinized blood (flow cytometry, RNAseq analysis of purified cluster of differentiation [CD]4+, CD8+, B cells and natural killer cells, and RSV-specific antibody). Cord blood (RSV-specific antibody) was also collected for the birth cohort. Univariate and multivariate logistic regression will be used for analysis of data using a continuous Global Respiratory Severity Score (GRSS) as the outcome variable. Novel statistical methods will be developed for integration of the large complex datasets.

resultsA total of 453 infants were enrolled into the 3 cohorts; 226 in the birth cohort, 60 in the supplemental cohort, and 78 in the hospital cohort. A total of 126 birth cohort infants remained in the study and were evaluated for 150 respiratory illnesses. Of the 60 RSV positive infants in the supplemental cohort, 42 completed the study, whereas all 78 of the RSV positive hospital cohort infants completed the study. A GRSS was calculated for each RSV-infected infant and is being used to analyze each of the complex datasets by correlation with disease severity in univariate and multivariate methods.

conclusionsThe AsPIRES study will provide insights into the complex pathogenesis of RSV infection in healthy full-term infants with primary RSV infection. The analysis will allow assessment of multiple factors potentially influencing the severity of RSV infection including the level of RSV specific antibodies, the innate immune response of nasal epithelial cells, the adaptive response by various lymphocyte subsets, the resident airway microbiota, and viral factors. Results of this study will inform disease interventions such as vaccines and antiviral therapies.

Indexed as

gene expressionimmunoglobulinsinnate immunitymicrobiotarespiratory syncytial virusT-lymphocytestranscriptome

Identifiers

PMID31199303
PMCPMC6595944
OpenAlexW2920725640

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.