Evidence map›Paper›PMID 27654334›Full record

ArticleJournal of clinical microbiology2016

Clinical Utility of On-Demand Multiplex Respiratory Pathogen Testing among Adult Outpatients.

Daniel A Green, Letiana Hitoaliaj, Brian Kotansky, Sheldon M Campbell, David R Peaper

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
8.6field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 81 citations in OpenAlex.

  1. Guideline
  2. Guideline
  3. Trial
  4. Clinical impact of rapid molecular detection of respiratory pathogens in patients with acute respiratory infection.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2018
    Trial
  5. Predictors of antibiotic prescription for upper respiratory infections in cancer patients.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025
    Article
  6. Article
  7. Guidelines for Antibiotics Prescription in Critically Ill Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Low rates of antibiotic use among ambulatory patients with coronavirus disease 2019 (COVID-19).Antimicrobial stewardship & healthcare epidemiology : ASHE · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

5 authors at 2 institutions in 1 country.

Daniel A GreenDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Letiana HitoaliajPharmacy Service, West Haven Veterans Administration Hospital, West Haven, Connecticut, USA.
Brian KotanskyPharmacy Service, West Haven Veterans Administration Hospital, West Haven, Connecticut, USA.
Sheldon M CampbellDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
David R PeaperDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, USA david.peaper@yale.edu.
United States Department of Veterans Affairs · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Multiplex tests for respiratory tract infections include up to 20 targets for common pathogens, predominantly viruses. A specific therapeutic intervention is available for individuals testing positive for influenza viruses (oseltamivir), and it is potentially beneficial to identify non-influenza viruses to avoid unnecessary antibiotic use. We evaluated antimicrobial prescriptions following respiratory pathogen testing among outpatients at a large Veterans Administration (VA) medical center. Results of the FilmArray respiratory panel (BioFire, Salt Lake City, UT) from 15 December 2014 to 15 April 2015 were evaluated among 408 outpatients, and patient medical records were reviewed. Differences in antibiotic and oseltamivir prescription rates were analyzed. Among 408 patients tested in outpatient centers (emergency departments, urgent care clinics, and outpatient clinics), 295 (72.3%) were managed as outpatients. Among these 295 outpatients, 105 (35.6%) tested positive for influenza virus, 109 (36.9%) tested positive for a non-influenza virus pathogen, and 81 (27.5%) had no respiratory pathogen detected. Rates of oseltamivir and antibiotic prescriptions were significantly different among the three test groups (chi-squared values of 167.6 [P < 0.0001] and 10.48 [P = 0.005], respectively), but there was no significant difference in antibiotic prescription rates between the non-influenza virus pathogen group and those who tested negative (chi-square value, 0; P = 1.0). Among adult outpatients, testing positive for influenza virus was associated with receiving fewer antibiotic prescriptions, but no such effect was seen for those who tested positive for a non-influenza virus. These data suggest that testing for influenza viruses alone may be sufficient and more cost-effective than multiplex pathogen testing for outpatients.

Indexed as

AdultAgedAged, 80 and overAmbulatory Care FacilitiesAnti-Bacterial AgentsAsthmaEmergency Service, HospitalFemaleHumansInfluenza, HumanMaleMiddle AgedOrthomyxoviridaeOseltamivirPractice Patterns, Physicians'Pulmonary Disease, Chronic ObstructiveAnti-Bacterial AgentsOseltamivir

Identifiers

PMID27654334
PMCPMC5121384
OpenAlexW2521799940

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.