Evidence map›Paper›PMID 31377041›Full record

Trial reportThe Journal of pediatrics2019

Measuring the Severity of Respiratory Illness in the First 2 Years of Life in Preterm and Term Infants.

Mary T Caserta, Hongmei Yang, Sanjukta Bandyopadhyay, Xing Qiu, Steven R Gill, James Java, Andrew McDavid, Ann R Falsey, David J Topham, Jeanne Holden-Wiltse and 2 more

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in The Journal of pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01789268 (Impact of Respiratory Virus Infections and Bacterial Microbiome Shifts on Lymphocyte and Respiratory Function in Infants Born Prematurely or Full Term), which is not on this map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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.

NCT01789268 completednot on this map

Impact of Respiratory Virus Infections and Bacterial Microbiome Shifts on Lymphocyte and Respiratory Function in Infants Born Prematurely or Full Term

TypeobservationalSponsorUniversity of RochesterRan2013 to 2019Enrolled267ConditionsRespiratory Tract InfectionArmsRespiratory Inductive Plethysmography
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Eight practices for data management to enable team data science.Journal of clinical and translational science · 2020
    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

12 authors.

Mary T CasertaDepartment of Pediatrics, University of Rochester Medical Center, Rochester, NY. Electronic address: mary_caserta@urmc.rochester.edu.
Hongmei YangDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY.
Sanjukta BandyopadhyayDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY.
Xing QiuDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY.
Steven R GillDepartment of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY.
James JavaDepartment of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY.
Andrew McDavidDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY.
Ann R FalseyDepartment of Medicine-Infectious Diseases, University of Rochester Medical Center, Rochester, NY.
David J TophamCenter for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, NY.
Jeanne Holden-WiltseDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY; UR Clinical and Translational Science Institute, University of Rochester Medical Center, Rochester, NY.
Kristin ScheibleDepartment of Pediatrics, University of Rochester Medical Center, Rochester, NY.
Gloria PryhuberDepartment of Pediatrics, University of Rochester Medical Center, Rochester, NY; Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY.

Funding

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
The University of Rochester's Clinical and Translational Science InstituteUL1TR000042 · NCATS · UNIVERSITY OF ROCHESTER · PI BENNETT, NANCY M, KIEBURTZ, KARL D. · 2012 to 2015
$14.4M
Functional and Lymphocytic Markers of Respiratory Morbidity in Hyperoxic PreemiesU01HL101813 · NHLBI · UNIVERSITY OF ROCHESTER · PI MARIANI, THOMAS J, PRYHUBER, GLORIA S · 2010 to 2014
$2.4M
NCATS NIH HHS UL1 TR000042NCATS NIH HHS UL1 TR002001NHLBI NIH HHS U01 HL101813NIAID NIH HHS HHSN272201200005C
6 · The paper itself

Abstract

objectiveTo develop a valid research tool to measure infant respiratory illness severity using parent-reported symptoms. STUDY

designNose and throat swabs were collected monthly for 1 year and during respiratory illnesses for 2 years in a prospective study of term and preterm infants in the Prematurity, Respiratory Outcomes, Immune System and Microbiome study. Viral pathogens were detected using Taqman Array Cards. Parents recorded symptoms during respiratory illnesses using a Childhood Origins of Asthma (COAST) scorecard. The COAST score was validated using linear mixed effects regression modeling to evaluate associations with hospitalization and specific infections. A data-driven method was also used to compute symptom weights and derive a new score, the Infant Research Respiratory Infection Severity Score (IRRISS). Linear mixed effects regression modeling was repeated with the IRRISS illness data.

resultsFrom April 2013 to April 2017, 50 term, 40 late preterm, and 28 extremely low gestational age (<29 weeks of gestation) infants had 303 respiratory illness visits with viral testing and parent-reported symptoms. A range of illness severity was described with 39% of illness scores suggestive of severe disease. Both the COAST score and IRRISS were associated with respiratory syncytial virus infection and hospitalization. Gestational age and human rhinovirus infection were inversely associated with both scoring systems. The IRRISS and COAST scores were highly correlated (r = 0.93; P < .0001).

conclusionsUsing parent-reported symptoms, we validated the COAST score as a measure of respiratory illness severity in infants. The new IRRISS score performed as well as the COAST score.

Indexed as

Severity of Illness IndexFemaleFollow-Up StudiesHumansInfant, NewbornInfant, PrematureInfant, Premature, DiseasesMaleProspective StudiesRespiratory Tract Diseases

Identifiers

PMID31377041
PMCPMC6815715

What OpenQuestion holds

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Registered trials

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.