Evidence map›Paper›PMID 26505742›Full record

ArticleInfluenza and other respiratory viruses2016

Survey of influenza and other respiratory viruses diagnostic testing in US hospitals, 2012-2013.

Su Su, Alicia M Fry, Pam Daily Kirley, Deborah Aragon, Kimberly Yousey-Hindes, James Meek, Kyle Openo, Oluwakemi Oni, Ruta Sharangpani, Craig Morin and 7 more

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Clinical decision making in the emergency department setting using rapid PCR: Results of the CLADE study group.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2018
    Article
  8. 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

17 authors.

Su SuInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Alicia M FryInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Pam Daily KirleyCalifornia Emerging Infections Program, Oakland, CA, USA.
Deborah AragonColorado Department of Public Health and Environment, Denver, CO, USA.
Kimberly Yousey-HindesConnecticut Emerging Infectious Program, Yale School of Public Health, New Haven, CT, USA.
James MeekConnecticut Emerging Infectious Program, Yale School of Public Health, New Haven, CT, USA.
Kyle OpenoGeorgia Emerging Infections Program and the Atlanta Research and Education Foundation, Atlanta, GA, USA.
Oluwakemi OniIowa Department of Public Health, Des Moines, IA, USA.
Ruta SharangpaniMichigan Department of Health and Human Services, Lansing, MI, USA.
Craig MorinMinnesota Department of Health, St. Paul, MN, USA.
Gary HollickUniversity of Rochester Center for Community Health, Minneapolis, MN, USA.
Krista LungOhio Department of Health, Columbus, OH, USA.
Matt LaidlerOregon Public Health Division, Portland, OR, USA.
Mary Lou LindegrenVanderbilt University School of Medicine, Nashville, TN, USA.
William SchaffnerVanderbilt University School of Medicine, Nashville, TN, USA.
Annette AtkinsonUtah Department of Health, Salt lake city, UT, USA.
Sandra S ChavesInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

NCEZID CDC HHS CDC-RFA-CK12-1202NCHM CDC HHS 5U38HM000414NCHM CDC HHS U38 HM000414
6 · The paper itself

Abstract

backgroundLittle is known about laboratory capacity to routinely diagnose influenza and other respiratory viruses at clinical laboratories and hospitals.

aimsWe sought to assess diagnostic practices for influenza and other respiratory virus in a survey of hospitals and laboratories participating in the US Influenza Hospitalization Surveillance Network in 2012-2013. MATERIALS AND

methodsAll hospitals and their associated laboratories participating in the Influenza Hospitalization Surveillance Network (FluSurv-NET) were included in this evaluation. The network covers more than 80 counties in 15 states, CA, CO, CT, GA, MD, MN, NM, NY, OR, TN, IA, MI, OH, RI, and UT, with a catchment population of ~28 million people. We administered a standardized questionnaire to key personnel, including infection control practitioners and laboratory departments, at each hospital through telephone interviews.

resultsOf the 240 participating laboratories, 67% relied only on commercially available rapid influenza diagnostic tests to diagnose influenza. Few reported the availability of molecular diagnostic assays for detection of influenza (26%) and other viral pathogens (≤20%) in hospitals and commercial laboratories.

conclusionReliance on insensitive assays to detect influenza may detract from optimal clinical management of influenza infections in hospitals.

Indexed as

Clinical Laboratory TechniquesHospitalizationHumansInfluenza, HumanLaboratories, HospitalRespiratory Tract InfectionsSensitivity and SpecificitySurveys and QuestionnairesUnited StatesVirus DiseasesEIPFluSurv-NETinfluenzalaboratory capacityrespiratory viruses

Identifiers

PMID26505742
PMCPMC4746564

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.