Evidence map›Paper›PMID 27615557›Full record

Trial reportThe Journal of infection2016

Viral load is strongly associated with length of stay in adults hospitalised with viral acute respiratory illness.

Tristan W Clark, Sean Ewings, Marie-Jo Medina, Sally Batham, Martin D Curran, Surendra Parmar, Karl G Nicholson

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of infection, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Article
  4. Article
  5. Epidemiology and genotypic diversity of rhinovirus in school-age children with acute respiratory illnesses seeking medical care.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2025
    Article
  6. Article
  7. Article
  8. Influenza A infections: predictors of disease severity.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Coronavirus (Covid-19) sepsis: revisiting mitochondrial dysfunction in pathogenesis, aging, inflammation, and mortality.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2020
    Review
  15. Article
  16. Influence of viral load in the outcome of hospitalized patients with influenza virus infection.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    Observational
  17. 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.

Tristan W ClarkDepartment of Clinical and Experimental Sciences, University of Southampton, Southampton, UK; NIHR Respiratory Biomedical Research Unit, Southampton UK; Department of Infection, Immunity and Inflammation, University of Leicester, Leicester, UK. Electronic address: T.W.Clark@soton.ac.uk.
Sean EwingsStatistical Sciences Research Institute, University of Southampton, Southampton, UK.
Marie-Jo MedinaDepartment of Infection, Immunity and Inflammation, University of Leicester, Leicester, UK.
Sally BathamDepartment of Infection, Immunity and Inflammation, University of Leicester, Leicester, UK.
Martin D CurranPublic Health England, Clinical Microbiology and Public Health Laboratory, Addenbrooke's Hospital, Cambridge, UK.
Surendra ParmarPublic Health England, Clinical Microbiology and Public Health Laboratory, Addenbrooke's Hospital, Cambridge, UK.
Karl G NicholsonDepartment of Infection, Immunity and Inflammation, University of Leicester, Leicester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRespiratory viruses are detectable in a large proportion of adults hospitalised with acute respiratory illness. For influenza and other viruses there is evidence that viral load and persistence are associated with certain clinical outcomes but it is not known if there is an association between viral load and hospital length of stay.

methods306 adults hospitalised with viral acute respiratory illness were studied. Associations between viral load and length of stay were examined. Multiple linear regression analysis was performed to control for age, comorbidity, influenza vaccine status, duration of illness prior to hospitalisation, bacterial co-infection, clinical group and virus subtype.

resultsHigh viral load was associated with a longer duration of hospitalisation for all patients (p < 0.0001). This remained significant across all virus types and clinical groups and when adjusted for age, comorbidity, duration of illness prior to hospitalisation, bacterial co-infection and other factors.

conclusionsHigh viral loads are associated with prolonged hospital length of stay in adults with viral acute respiratory illness. This further supports existing evidence demonstrating that viral acute respiratory illness is a viral load driven process and suggests that viral load could be used in clinical practise to predict prolonged hospitalisation and prioritise antivirals. International Standard Randomised Controlled Trial Number (ISRCTN): 21521552.

Indexed as

Length of StayViral LoadAcute DiseaseAdultAgedAged, 80 and overCoinfectionFemaleHumansInfluenza, HumanMaleMiddle AgedPolymerase Chain ReactionRespiratory Tract InfectionsVirus DiseasesVirusesAcute respiratory illnessAdultsHospitalisationLength of stayRespiratory virusesViral load

Identifiers

PMID27615557
PMCPMC7112535

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.