Evidence map›Paper›PMID 24405747›Full record

Observational studyBMC infectious diseases2014

Nasal swab samples and real-time polymerase chain reaction assays in community-based, longitudinal studies of respiratory viruses: the importance of sample integrity and quality control.

Asma N Alsaleh, David M Whiley, Seweryn Bialasiewicz, Stephen B Lambert, Robert S Ware, Michael D Nissen, Theo P Sloots, Keith Grimwood

Open access · goldAbstract readObservational Study
In one paragraph

Observational study 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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 44 citations in OpenAlex.

  1. Trial
  2. Article
  3. Human bocavirus-1 infections in Australian children aged < 2 years: a birth cohort study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2023
    Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. The role of rhinovirus infections in young children with cystic fibrosis.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2020
    Article
  11. Observational
  12. Observational
  13. Cellular DNA quantification in respiratory samples for the normalization of viral load: a real need?Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

8 authors at 5 institutions in 1 country.

Asma N AlsalehQueensland Children's Medical Research Institute, The University of Queensland, Brisbane Queensland 4029, Australia. a.alsaleh@uq.edu.au.
David M Whiley
Seweryn Bialasiewicz
Stephen B Lambert
Robert S Ware
Michael D Nissen
Theo P Sloots
Keith Grimwood
Children's Medical Research Institute · AUQueensland Children’s Hospital · AUQueensland Children’s Medical Research Institute · AURoyal Brisbane and Women's Hospital · AUUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarefully conducted, community-based, longitudinal studies are required to gain further understanding of the nature and timing of respiratory viruses causing infections in the population. However, such studies pose unique challenges for field specimen collection, including as we have observed the appearance of mould in some nasal swab specimens. We therefore investigated the impact of sample collection quality and the presence of visible mould in samples upon respiratory virus detection by real-time polymerase chain reaction (PCR) assays.

methodsAnterior nasal swab samples were collected from infants participating in an ongoing community-based, longitudinal, dynamic birth cohort study. The samples were first collected from each infant shortly after birth and weekly thereafter. They were then mailed to the laboratory where they were catalogued, stored at -80°C and later screened by PCR for 17 respiratory viruses. The quality of specimen collection was assessed by screening for human deoxyribonucleic acid (DNA) using endogenous retrovirus 3 (ERV3). The impact of ERV3 load upon respiratory virus detection and the impact of visible mould observed in a subset of swabs reaching the laboratory upon both ERV3 loads and respiratory virus detection was determined.

resultsIn total, 4933 nasal swabs were received in the laboratory. ERV3 load in nasal swabs was associated with respiratory virus detection. Reduced respiratory virus detection (odds ratio 0.35; 95% confidence interval 0.27-0.44) was observed in samples where the ERV3 could not be identified. Mould was associated with increased time of samples reaching the laboratory and reduced ERV3 loads and respiratory virus detection.

conclusionSuboptimal sample collection and high levels of visible mould can impact negatively upon sample quality. Quality control measures, including monitoring human DNA loads using ERV3 as a marker for epithelial cell components in samples should be undertaken to optimize the validity of real-time PCR results for respiratory virus investigations in community-based studies.

Indexed as

Cohort StudiesDNAEndogenous RetrovirusesFungiHumansInfantLongitudinal StudiesQuality ControlReal-Time Polymerase Chain ReactionRespiratory Tract InfectionsSpecimen HandlingVirusesDNA

Identifiers

PMID24405747
PMCPMC3897990
OpenAlexW2004676106

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.