Evidence map›Paper›PMID 30051619›Full record

ArticleInfluenza and other respiratory viruses2018

Seasonality and clinical impact of human parainfluenza viruses.

Philip Maykowski, Marie Smithgall, Philip Zachariah, Matthew Oberhardt, Celibell Vargas, Carrie Reed, Ryan T Demmer, Melissa S Stockwell, Lisa Saiman

Open access · goldAbstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
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  9. Trends in human parainfluenza virus in Scotland before and after the peak of the COVID-19 pandemic, January 2017 to October 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
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  16. Parainfluenza Virus Types 1-3 Infections Among Children and Adults Hospitalized With Community-acquired Pneumonia.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  17. Article
  18. Article
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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

9 authors at 4 institutions in 1 country.

Philip MaykowskiDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.ORCID 0000-0003-4762-6935
Marie SmithgallDepartment of Pathology, Columbia University Medical Center, New York, New York.
Philip ZachariahDepartment of Pediatrics, Columbia University Medical Center, New York, New York.
Matthew OberhardtValue Institute, NewYork-Presbyterian Hospital, New York, New York.
Celibell VargasDepartment of Pediatrics, Columbia University Medical Center, New York, New York.
Carrie ReedCenters for Disease Control and Prevention, Atlanta, Georgia.
Ryan T DemmerDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
Melissa S StockwellDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
Lisa SaimanDepartment of Pediatrics, Columbia University Medical Center, New York, New York.
Columbia University Irving Medical Center · USColumbia University · USNewYork–Presbyterian Hospital · USCenters for Disease Control and Prevention · US

Funding

MOSAIC: Mobile Surveillance for ARI and ILI in the CommunityU01IP000618 · IP · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STOCKWELL, MELISSA S · 2012 to 2016
$6.0M
NCIRD CDC HHS 1UO1IP000618NCIRD CDC HHS U01 IP000618
6 · The paper itself

Abstract

backgroundWidespread availability of rapid diagnostic testing for respiratory viruses allows more in-depth studies of human parainfluenza viruses (HPIV).

objectivesThis study aimed to assess seasonality of HPIV types 1-4, clinical outcomes by HPIV type, and risk factors for illness severity. PATIENTS/

methodsThis retrospective study was performed from January 2013 to December 2015 in children and adults with HPIV, detected by multiplex reverse transcription polymerase chain reaction, participating in a community surveillance study of acute respiratory infections (ARIs) in New York City and patients admitted to a tertiary care center in the same neighborhood. Seasonality trends by HPIV type were compared between the community and hospital groups. The associations between HPIV type, demographics, clinical characteristics, and illness severity were assessed.

resultsHPIV was detected in 69 (4%) of 1753 community surveillance participants (median age 9.2 years) and 680 hospitalized patients (median age 6.8 years). Seasonality for HPIV types 1-3 agreed with previously described patterns; HPIV-4 occurred annually in late summer and fall. In the community cohort, 22 (32%) participants sought medical care, 9 (13%) reported antibiotic use, and 20 (29%) reported ≥1 day of missed work or school. Among hospitalized patients, 24% had ≥4 chronic conditions. Multivariable ordinal logistic regression demonstrated that increased severity of illness was significantly associated with HPIV-4 and chronic cardiovascular and respiratory conditions in children and with age ≥65 years and chronic respiratory conditions in adults.

conclusionsHPIV-4 presented late summer and early fall annually and was associated with increased severity of illness in hospitalized children.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMiddle AgedMultiplex Polymerase Chain ReactionNew York CityParamyxoviridae InfectionsRespirovirusepidemiologyparainfluenzarespiratoryseasonalityviruses

Identifiers

PMID30051619
PMCPMC6185891
OpenAlexW2883296426

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.