Evidence map›Paper›PMID 28011907›Full record

ArticleThe Journal of infectious diseases2017

Development of a Global Respiratory Severity Score for Respiratory Syncytial Virus Infection in Infants.

Mary T Caserta, Xing Qiu, Brenda Tesini, Lu Wang, Amy Murphy, Anthony Corbett, David J Topham, Ann R Falsey, Jeanne Holden-Wiltse, Edward E Walsh

Erratum issuedAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 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.

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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. Burden of illness in infants and young children hospitalized for respiratory syncytial virus: A rapid review.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Mary T CasertaDivision of Infectious Diseases, Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA.
Xing QiuDepartment of Biostatistics and Computational Biology, New York Influenza Center of Excellence at the University of Rochester Medical Center, Rochester, NY, USA.
Brenda TesiniDivision of Infectious Diseases, Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA.
Lu WangDepartment of Biostatistics and Computational Biology, New York Influenza Center of Excellence at the University of Rochester Medical Center, Rochester, NY, USA.
Amy MurphyDivision of Infectious Diseases, Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA.
Anthony CorbettDepartment of Biostatistics and Computational Biology, New York Influenza Center of Excellence at the University of Rochester Medical Center, Rochester, NY, USA.
David J TophamCenter for Vaccine Biology and Immunology, University of Rochester, Rochester, New York, USA.
Ann R FalseyDepartment of Medicine, University of Rochester Medical Center, Rochester, NY, USA.
Jeanne Holden-WiltseDepartment of Biostatistics and Computational Biology, New York Influenza Center of Excellence at the University of Rochester Medical Center, Rochester, NY, USA.
Edward E WalshDepartment of Medicine, University of Rochester Medical Center, Rochester, NY, USA.

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
NCATS NIH HHS UL1 TR002001
6 · The paper itself

Abstract

Background: Respiratory syncytial virus (RSV) infection in infants has recognizable clinical signs and symptoms. However, quantification of disease severity is difficult, and published scores remain problematic. Thus, as part of a RSV pathogenesis study, we developed a global respiratory severity score (GRSS) as a research tool for evaluating infants with primary RSV infection. Methods: Previously healthy infants <10 months of age with RSV infections representing the spectrum of disease severity were prospectively evaluated. Clinical signs and symptoms were collected at 3 time points from hospitalized infants and those seen in ambulatory settings. Data were also extracted from office, emergency department, and hospital records. An unbiased data-driven approach using factor analysis was used to develop a GRSS. Results: A total of 139 infants (84 hospitalized and 55 nonhospitalized) were enrolled. Using hospitalization status as the output variable, 9 clinical variables were identified and weighted to produce a composite GRSS. The GRSS had an area under the receiver operator curve of 0.961. Construct validity was demonstrated via a significant correlation with length of stay (r = 0.586, P < .0001). Conclusions: Using routine clinical variables, we developed a severity score for infants with RSV infection that should be useful as an end point for investigation of disease pathogenesis and as an outcome measure for therapeutic interventions.

Indexed as

Severity of Illness IndexFemaleGestational AgeHospitalizationHumansInfantInfant, NewbornLength of StayLinear ModelsMaleProspective StudiesReproducibility of ResultsRespiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsRisk FactorsLower respiratory tract infectionrespiratory severity scorerespiratory syncytial virusupper respiratory tract infection

Identifiers

PMID28011907
PMCPMC5388274

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.