Evidence map›Paper›PMID 23805203›Full record

ArticlePloS one2013

Optimization of Multiple Pathogen Detection Using the TaqMan Array Card: Application for a Population-Based Study of Neonatal Infection.

Maureen H Diaz, Jessica L Waller, Rebecca A Napoliello, Md Shahidul Islam, Bernard J Wolff, Daniel J Burken, Rhiannon L Holden, Velusamy Srinivasan, Melissa Arvay, Lesley McGee and 5 more

Open access · goldAbstract 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. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
5.9field-weighted citation impact, top 4% 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

53 citing papers in PubMed, 100 citations in OpenAlex.

  1. Trial
  2. Prevalence of Group AThe American journal of tropical medicine and hygiene · 2020
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. First Report ofMicroorganisms · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Simultaneous detection and quantification of multiple pathogen targets in wastewater.medRxiv : the preprint server for health sciences · 2023
    Article
  15. Article
  16. Article
  17. Do NAAT-Based Methods Increase the Diagnostic Sensitivity ofDiagnostics (Basel, Switzerland) · 2023
    Article
  18. Pathogens Identified by Minimally Invasive Tissue Sampling in India and Pakistan From Preterm Neonatal Deaths: The PURPOSE Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Observational
  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

15 authors at 2 institutions in 2 countries.

Maureen H DiazRespiratory Diseases Branch, Division of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Jessica L Waller
Rebecca A Napoliello
Md Shahidul Islam
Bernard J Wolff
Daniel J Burken
Rhiannon L Holden
Velusamy Srinivasan
Melissa Arvay
Lesley McGee
M Steven Oberste
Cynthia G Whitney
Stephanie J Schrag
Jonas M Winchell
Samir K Saha
Centers for Disease Control and Prevention · USDhaka Shishu Hospital · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of etiology remains a significant challenge in the diagnosis of infectious diseases, particularly in resource-poor settings. Viral, bacterial, and fungal pathogens, as well as parasites, play a role for many syndromes, and optimizing a single diagnostic system to detect a range of pathogens is challenging. The TaqMan Array Card (TAC) is a multiple-pathogen detection method that has previously been identified as a valuable technique for determining etiology of infections and holds promise for expanded use in clinical microbiology laboratories and surveillance studies. We selected TAC for use in the Aetiology of Neonatal Infection in South Asia (ANISA) study for identifying etiologies of severe disease in neonates in Bangladesh, India, and Pakistan. Here we report optimization of TAC to improve pathogen detection and overcome technical challenges associated with use of this technology in a large-scale surveillance study. Specifically, we increased the number of assay replicates, implemented a more robust RT-qPCR enzyme formulation, and adopted a more efficient method for extraction of total nucleic acid from blood specimens. We also report the development and analytical validation of ten new assays for use in the ANISA study. Based on these data, we revised the study-specific TACs for detection of 22 pathogens in NP/OP swabs and 12 pathogens in blood specimens as well as two control reactions (internal positive control and human nucleic acid control) for each specimen type. The cumulative improvements realized through these optimization studies will benefit ANISA and perhaps other studies utilizing multiple-pathogen detection approaches. These lessons may also contribute to the expansion of TAC technology to the clinical setting.

Indexed as

BacteriaBangladeshCommunicable DiseasesDNA, BacterialHumansIndiaInfant, NewbornPakistanReal-Time Polymerase Chain ReactionReproducibility of ResultsDNA, Bacterial

Identifiers

PMID23805203
PMCPMC3689704
OpenAlexW2103797525

What OpenQuestion holds

Textmetadata
LicenceCC0
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.