Evidence map›Paper›PMID 37124477›Full record

ArticleInternational journal of pediatric research2023

Trends and Non-Clinical Predictors of Respiratory Syncytial Virus (RSV) and Influenza Diagnosis in an Urban Pediatric Population.

Marina Oktapodas Feiler, Recai Yucel, Zhiqing Liu, Mary Caserta, B Paige Lawrence, Carter H Pason, Dwight J Hardy, Kelly Thevenet-Morrison, Ann Dozier, Todd A Jusko

Abstract read
In one paragraph

Article in International journal of pediatric research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

10 authors.

Marina Oktapodas FeilerDepartment of Epidemiology and Biostatistics, College of Public Health, Temple University, USA.
Recai YucelDepartment of Epidemiology and Biostatistics, College of Public Health, Temple University, USA.
Zhiqing LiuDepartment of Epidemiology and Biostatistics, College of Public Health, Temple University, USA.
Mary CasertaDepartment of Pediatrics, School of Medicine and Dentistry, University of Rochester, USA.
B Paige LawrenceDepartment of Environmental Sciences, School of Medicine and Dentistry, University of Rochester, USA.
Carter H PasonDepartment of Epidemiology and Biostatistics, College of Public Health, Temple University, USA.
Dwight J HardyDepartment of Microbiology and Immunology, School of Medicine and Dentistry, University of Rochester, USA.
Kelly Thevenet-MorrisonDepartment of Public Health Sciences, School of Medicine and Dentistry, University of Rochester, USA.
Ann DozierDepartment of Public Health Sciences, School of Medicine and Dentistry, University of Rochester, USA.
Todd A JuskoDepartment of Environmental Sciences, School of Medicine and Dentistry, University of Rochester, USA.

Funding

VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Sally W Thurston · 1985 to 2026
$42.8M
Training in Environment ToxicologyT32ES007026 · NIEHS · UNIVERSITY OF ROCHESTER · PI Alison Elder, Marissa Sobolewski Terry · 1985 to 2026
$20.2M
NIEHS NIH HHS P30 ES001247NIEHS NIH HHS T32 ES007026
6 · The paper itself

Abstract

Objective: To evaluate the demographic, maternal, and community-level predictors of pediatric respiratory syncytial virus (RSV) and influenza diagnosis among an urban population of children residing in Rochester, NY. Study design: A test-negative case-control design was used to investigate various non-clinical determinants of RSV and influenza diagnosis among 1,808 children aged 0-14 years who presented to the University of Rochester Medical Center (URMC) or an affiliated health clinic in Rochester, NY between 2012-2019. These children were all tested for RSV and influenza via polymerase-chain-reaction (PCR) method, including RSV and influenza diagnosis of all severity types. Test results were linked to medical records, birth certificates, questionnaires administered through the Statewide Perinatal Data System, and the US census by census tracts to obtain information on child, maternal, demographic, and socio-economic characteristics. Results: Overall the strongest predictor of RSV and influenza diagnosis was child's age, with every year increase in child's age, risk for RSV decreased (OR: 0.75; 95% CI: 0.71, 0.79) and risk for influenza increased (OR: 1.20; 95%: 1.16, 1.24). In addition to age, non-private insurance type was positively associated with influenza diagnosis. When considering the proportion of positive cases for RSV and influenza over all PCR tests by respiratory season, a spike in influenza cases was observed in 2018-2019. Conclusions: Age was a strong predictor of RSV and influenza diagnosis among this urban sample of children.

Indexed as

DeterminantsFluPredictorsRisk factorsRSV

Identifiers

PMID37124477
PMCPMC10139760

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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.