Evidence map›Paper›PMID 24658130›Full record

ArticlePloS one2014

Quantitative influenza follow-up testing (QIFT)--a novel biomarker for the monitoring of disease activity at the point-of-care.

Xi Chen, Kaveh Pouran Yousef, Susanne Duwe, Katharina Karsch, Sandeep Grover, Stephanie Wählisch, Patrick Obermeier, Franziska Tief, Susann Mühlhans, Lea Seeber and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
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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

13 authors at 2 institutions in 1 country.

Xi ChenDepartment of Paediatrics, Division of Pneumonology-Immunology, Charité University Medical Centre, Berlin, Germany.
Kaveh Pouran YousefAG systems Pharmacology & Disease Control, Department of Mathematics and Computer Science, Free University Berlin, Berlin, Germany.
Susanne DuweRobert Koch Institute, Division 17 Influenza and Other Respiratory Viruses, National Reference Centre for Influenza, Berlin, Germany.
Katharina KarschDepartment of Paediatrics, Division of Pneumonology-Immunology, Charité University Medical Centre, Berlin, Germany.
Sandeep GroverDepartment of Paediatrics, Division of Pneumonology-Immunology, Charité University Medical Centre, Berlin, Germany.
Stephanie WählischRobert Koch Institute, Division 17 Influenza and Other Respiratory Viruses, National Reference Centre for Influenza, Berlin, Germany.
Patrick ObermeierDepartment of Paediatrics, Division of Pneumonology-Immunology, Charité University Medical Centre, Berlin, Germany.
Franziska TiefDepartment of Paediatrics, Division of Pneumonology-Immunology, Charité University Medical Centre, Berlin, Germany.
Susann MühlhansDepartment of Paediatrics, Division of Pneumonology-Immunology, Charité University Medical Centre, Berlin, Germany.
Lea SeeberDepartment of Paediatrics, Division of Pneumonology-Immunology, Charité University Medical Centre, Berlin, Germany.
Max von KleistAG systems Pharmacology & Disease Control, Department of Mathematics and Computer Science, Free University Berlin, Berlin, Germany.
Brunhilde SchweigerRobert Koch Institute, Division 17 Influenza and Other Respiratory Viruses, National Reference Centre for Influenza, Berlin, Germany.
Barbara RathDepartment of Paediatrics, Division of Pneumonology-Immunology, Charité University Medical Centre, Berlin, Germany.
Charité - Universitätsmedizin Berlin · DERobert Koch Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfluenza infections induce considerable disease burden in young children. Biomarkers for the monitoring of disease activity at the point-of-care (POC) are currently lacking. Recent methodologies for fluorescence-based rapid testing have been developed to provide improved sensitivities with the initial diagnosis. The present study aims to explore the utility of second-generation rapid testing during longitudinal follow-up of influenza patients (Rapid Influenza Follow-up Testing = RIFT). Signal/control fluorescent readouts (Quantitative Influenza Follow-up Testing = QIFT) are evaluated as a potential biomarker for the monitoring of disease activity at the POC. METHODS AND

findingsRIFT (SOFIA) and QIFT were performed at the POC and compared to blinded RT-PCR at the National Reference Centre for Influenza. From 10/2011-4/2013, a total of 2048 paediatric cases were studied prospectively; 273 cases were PCR-confirmed for influenza. During follow-up, RIFT results turned negative either prior to PCR (68%), or simultaneously (30%). The first negative RIFT occurred after a median of 8 days with a median virus load (VL) of 5.6×10∧3 copies/ml and cycle threshold of 37, with no evidence of viral rebound. Binning analysis revealed that QIFT differentiated accurately between patients with low, medium and high viral titres. QIFT increase/decrease showed 88% agreement (sensitivity = 52%, specificity = 95%) with VL increase/decrease, respectively. QIFT-based viral clearance estimates showed similar values compared to PCR-based estimates. Variations in viral clearance rates were lower in treated compared to untreated patients. The study was limited by use of non-invasive, semi-quantitative nasopharyngeal samples. VL measurements below the limit of detection could not be quantified reliably.

conclusionsDuring follow-up, RIFT provides a first surrogate measure for influenza disease activity. A "switch" from positive to negative values may indicate a drop in viral load below a critical threshold, where rebound is no longer expected. QIFT may provide a useful tool for the monitoring of disease burden and viral clearance at the POC.

Indexed as

BiomarkersPoint-of-Care SystemsViral LoadChildChild, PreschoolFemaleFollow-Up StudiesHumansInfantInfluenza, HumanMaleNasopharynxReverse Transcriptase Polymerase Chain ReactionSensitivity and SpecificityTreatment OutcomeBiomarkers

Identifiers

PMID24658130
PMCPMC3962407
OpenAlexW1996245285

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.