Evidence map›Paper›PMID 23691157›Full record

ArticlePloS one2013

Reducing uncertainty in within-host parameter estimates of influenza infection by measuring both infectious and total viral load.

Stephen M Petrie, Teagan Guarnaccia, Karen L Laurie, Aeron C Hurt, Jodie McVernon, James M McCaw

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. On the Role of CD8Frontiers in immunology · 2016
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Assessing Uncertainty in A2 Respiratory Syncytial Virus Viral Dynamics.Computational and mathematical methods in medicine · 2015
    Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

6 authors.

Stephen M PetrieMelbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
Teagan Guarnaccia
Karen L Laurie
Aeron C Hurt
Jodie McVernon
James M McCaw

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For in vivo studies of influenza dynamics where within-host measurements are fit with a mathematical model, infectivity assays (e.g. 50% tissue culture infectious dose; TCID50) are often used to estimate the infectious virion concentration over time. Less frequently, measurements of the total (infectious and non-infectious) viral particle concentration (obtained using real-time reverse transcription-polymerase chain reaction; rRT-PCR) have been used as an alternative to infectivity assays. We investigated the degree to which measuring both infectious (via TCID50) and total (via rRT-PCR) viral load allows within-host model parameters to be estimated with greater consistency and reduced uncertainty, compared with fitting to TCID50 data alone. We applied our models to viral load data from an experimental ferret infection study. Best-fit parameter estimates for the "dual-measurement" model are similar to those from the TCID50-only model, with greater consistency in best-fit estimates across different experiments, as well as reduced uncertainty in some parameter estimates. Our results also highlight how variation in TCID50 assay sensitivity and calibration may hinder model interpretation, as some parameter estimates systematically vary with known uncontrolled variations in the assay. Our techniques may aid in drawing stronger quantitative inferences from in vivo studies of influenza virus dynamics.

Indexed as

UncertaintyViral LoadAnimalsFerretsHost-Pathogen InteractionsModels, BiologicalOrthomyxoviridae InfectionsReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain Reaction

Identifiers

PMID23691157
PMCPMC3655064

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.