Evidence map›Paper›PMID 25941330›Full record

ArticleThe Journal of infectious diseases2015

Predictors of Influenza Diagnosis Among Patients With Laboratory-Confirmed Influenza.

Marc R Miller, Timothy R Peters, Cynthia K Suerken, Beverly M Snively, Katherine A Poehling

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Marc R MillerDepartment of Pediatrics.
Timothy R PetersDepartment of Pediatrics.
Cynthia K SuerkenDepartment of Biostatistical Sciences.
Beverly M SnivelyDepartment of Biostatistical Sciences.
Katherine A PoehlingDepartment of Pediatrics Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Wake Forest University · US

Funding

The Movement of Influenza Virus In Human PopulationR01AI079226 · NIAID · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI POEHLING, KATHERINE A · 2009 to 2013
$3.3M
Wake Forest Short-term Research Training ProgramT35DK007400 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DONALD A. MCCLAIN · 1986 to 2026
$1.9M
NIAID NIH HHS R01 AI079226NIAID NIH HHS R01AI079226NIDDK NIH HHS 5T35DK007400-34NIDDK NIH HHS T35 DK007400
6 · The paper itself

Abstract

objectiveThis study was performed to determine predictors of clinical influenza diagnosis among patients with laboratory-confirmed influenza.

methodsProspective, laboratory-confirmed surveillance for influenza was conducted among patients of all ages who were hospitalized or presented to the emergency department with fever and respiratory symptoms during 2009-2013. We evaluated all enrolled persons who had influenza confirmed by viral culture and/or polymerase chain reaction and received any discharge diagnosis. The primary outcome, clinical influenza diagnosis, was defined as (1) a discharge diagnosis of influenza, (2) a prescription of neuraminidase inhibitor, or (3) a rapid test positive for influenza virus. Bivariate analyses and multiple logistic regression modeling were performed.

resultsInfluenza was diagnosed for 29% of 504 enrolled patients with laboratory-confirmed influenza and for 56% of 236 patients with high-risk conditions. Overall, clinical influenza diagnosis was predicted by race/ethnicity, insurance status, year, being hospitalized, having high-risk conditions, and receiving no diagnosis of bacterial infection. Being diagnosed with a bacterial infection reduced the odds of receiving an influenza diagnosis by >3-fold for all patients and for patients with high-risk conditions.

conclusionsMany influenza virus-positive patients, including those with high-risk conditions, do not receive a clinical diagnosis of influenza. The pattern of clinical diagnoses among influenza virus-positive patients suggests preferential consideration of bacterial diseases as a diagnosis.

Indexed as

Decision Support TechniquesPractice Patterns, Physicians'AdolescentAdultAgedAged, 80 and overChildChild, PreschoolClinical MedicineFemaleHumansInfantInfant, NewbornInfluenza, HumanMaleMiddle Agedantiviral agentsclinical practice patternsdiagnosishumaninfluenza

Identifiers

PMID25941330
PMCPMC4621248
OpenAlexW2204534239

What OpenQuestion holds

Textmetadata
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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.