Evidence map›Paper›PMID 25475044›Full record

ArticleBMC infectious diseases2014

Retrospective analysis of demographic and clinical factors associated with etiology of febrile respiratory illness among US military basic trainees.

Damaris S Padin, Dennis Faix, Stephanie Brodine, Hector Lemus, Anthony Hawksworth, Shannon Putnam, Patrick Blair

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.9field-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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. The molecular epidemiology of respiratory viruses in military trainees in Iran.Medical journal of the Islamic Republic of Iran · 2019
    Article
  7. Article
  8. Review
  9. Prediction of Peaks of Seasonal Influenza in Military Health-Care Data.Biomedical engineering and computational biology · 2016
    Article
  10. Article
  11. Article
  12. 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

7 authors at 2 institutions in 1 country.

Damaris S PadinNaval Health Research Center, 140 Sylvester Road, San Diego, CA, 92106, USA. dspadin@gmail.com.
Dennis FaixNaval Health Research Center, 140 Sylvester Road, San Diego, CA, 92106, USA. dennis.faix@med.navy.mil.
Stephanie BrodineGraduate School of Public Health, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182, USA. sbrodine@mail.sdsu.edu.
Hector LemusGraduate School of Public Health, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182, USA. hlemus@mail.sdsu.edu.
Anthony HawksworthNaval Health Research Center, 140 Sylvester Road, San Diego, CA, 92106, USA. anthony.hawksworth@med.navy.mil.
Shannon PutnamNaval Health Research Center, 140 Sylvester Road, San Diego, CA, 92106, USA. shan.putnam@med.navy.mil.
Patrick BlairNaval Health Research Center, 140 Sylvester Road, San Diego, CA, 92106, USA. patrick.blair@med.navy.mil.
Naval Health Research Center · USSan Diego State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBasic trainees in the US military have historically been vulnerable to respiratory infections. Adenovirus and influenza are the most common etiological agents responsible for febrile respiratory illness (FRI) among trainees and present with similar clinical signs and symptoms. Identifying demographic and clinical factors associated with the primary viral pathogens causing FRI epidemics among trainees will help improve differential diagnosis and allow for appropriate distribution of antiviral medications. The objective of this study was to determine what demographic and clinical factors are associated with influenza and adenovirus among military trainees.

methodsSpecimens were systematically collected from military trainees meeting FRI case definition (fever ≥38.0°C with either cough or sore throat; or provider-diagnosed pneumonia) at eight basic training centers in the USA. PCR and/or cell culture testing for respiratory pathogens were performed on specimens. Interviewer-administered questionnaires collected information on patient demographic and clinical factors. Polychotomous logistic regression was employed to assess the association between these factors and FRI outcome categories: laboratory-confirmed adenovirus, influenza, or other FRI. Sensitivity, specificity, positive and negative predictive value were calculated for individual predictors and clinical combinations of predictors.

resultsAmong 21,570 FRI cases sampled between 2004 and 2009, 63.6% were laboratory-confirmed adenovirus cases and 6.6% were laboratory-confirmed influenza cases. Subjects were predominantly young men (86.8% men; mean age 20.8 ± 3.8 years) from Fort Jackson (18.8%), Great Lakes (17.1%), Fort Leonard Wood (16.3%), Marine Corps Recruit Depot (MCRD) San Diego (19.0%), Fort Benning (13.3%), Lackland (7.5%), MCRD Parris Island (8.7%), and Cape May (3.2%). The best multivariate predictors of adenovirus were the combination of sore throat (odds ratio [OR], 2.94; 95% confidence interval [CI], 2.66-3.25), cough (OR, 2.33; 95% CI, 2.11-2.57), and fever (OR, 2.07; 95% CI, 1.90-2.26) with a PPV of 77% (p ≤ .05). A combination of cough, fever, training week 0-2 and acute onset were most predictive of influenza (PPV =38%; p ≤ .05).

conclusionsSpecific demographic and clinical factors were associated with laboratory-confirmed influenza and adenovirus among military trainees. Findings from this study can guide clinicians in the diagnosis and treatment of military trainees presenting with FRI.

Indexed as

Military PersonnelAdenoviridae InfectionsCoughDemographyFemaleFeverHumansInfluenza, HumanMaleMilitary MedicineRespiratory Tract InfectionsRetrospective StudiesUnited StatesYoung Adult

Identifiers

PMID25475044
PMCPMC4264259
OpenAlexW1969176287

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.