Evidence map›Paper›PMID 37070988›Full record

ArticleMicrobiology spectrum2023

Respiratory Adenovirus Quantification with a Droplet Digital Polymerase Chain Reaction (ddPCR) Assay.

Omar Abdullah, Amary Fall, Michael Forman, Craig Howard, Eili Klein, Heba H Mostafa

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

6 authors at 2 institutions in 1 country.

Omar AbdullahJohns Hopkins School of Medicine, Department of Pathology, Division of Medical Microbiology, Baltimore, Maryland, USA.
Amary FallJohns Hopkins School of Medicine, Department of Pathology, Division of Medical Microbiology, Baltimore, Maryland, USA.
Michael FormanJohns Hopkins School of Medicine, Department of Pathology, Division of Medical Microbiology, Baltimore, Maryland, USA.
Craig HowardJohns Hopkins School of Medicine, Department of Pathology, Division of Medical Microbiology, Baltimore, Maryland, USA.
Eili KleinDepartment of Emergency Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Heba H MostafaJohns Hopkins School of Medicine, Department of Pathology, Division of Medical Microbiology, Baltimore, Maryland, USA.ORCID 0000-0002-0274-8966
Johns Hopkins University · USCenter for Disease Dynamics, Economics & Policy · US

Funding

The Center for Advancing Point of Care in Heart, Lung, Blood and Sleep DiseasesU54HL143541 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Nathaniel Scott Hafer · 2018 to 2026
$141.0M
LC: HIV Prevention Trials Network - Laboratory Support for the SARS-CoV-2 Seroprevalence Study (CoVPN 5002)UM1AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SUSAN H ESHLEMAN, Mark A Marzinke · 2011 to 2026
$100.2M
Juntos (Together): A community led approach to enhance to Covid-19 testing among vulnerable LatinosR01DA045556 · NIDA · JOHNS HOPKINS UNIVERSITY · PI LUCAS, GREGORY M, PAGE, KATHLEEN R · 2017 to 2022
$6.8M
NCEZID CDC HHS U01 CK000589NHLBI NIH HHS U54 HL143541NIAID NIH HHS HHSN272201400007CNIAID NIH HHS UM1 AI068613NIDA NIH HHS R01 DA045556
6 · The paper itself

Abstract

Human adenoviruses (HAdVs) are double-stranded DNA viruses that can cause a wide spectrum of disease, including respiratory infections. Little is known about the value of respiratory HAdV quantification and its correlation with disease severity. In this study, we developed a quantitative HAdV droplet digital PCR (ddPCR) assay to study the association between viral loads, circulating types, and clinical outcomes. Remnant respiratory specimens positive for HAdV after the standard of care testing were collected from December 2020 to April 2022. A total of 129 samples were tested by a ddPCR method. Typing was performed using Nanopore sequencing of the hexon gene hypervariable region. Clinical chart reviews were performed to correlate the viral loads with the disease severity. The ddPCR assay showed an analytical sensitivity and a lower limit of quantification below 100 copies/mL. Of 129 positive clinical samples, 100 were quantified by ddPCR, 7 were too concentrated to be quantified, and 22 were negative. Of the 22 false negatives, only 3 were successfully typed; however, 99 of the 107 positive samples had a characterized genotype. The main HAdV types identified in this cohort were C1 (49.5%) followed by C2 (34.3%). No significant difference in HAdV loads was noted between patients who were admitted, those who required supplemental oxygen, and outpatients or between different HAdV types. HAdV ddPCR is a reliable absolute quantification approach for HAdV from respiratory samples. HAdV loads at initial presentation does not appear to differ between patients who require hospitalization versus outpatients.

Indexed as

Adenoviridae InfectionsAdenoviruses, HumanAdenovirus Infections, HumanRespiratory Tract InfectionsHumansPolymerase Chain ReactionadenovirusddPCRdroplet digital PCR

Identifiers

PMID37070988
PMCPMC10269445
OpenAlexW4366235048

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.