Evidence map›Paper›PMID 38793605›Full record

ArticleViruses2024

Long-Read Nanopore-Based Sequencing of Anelloviruses.

Raghavendran Anantharam, Dylan Duchen, Andrea L Cox, Winston Timp, David L Thomas, Steven J Clipman, Abraham J Kandathil

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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

7 authors.

Raghavendran AnantharamDivision of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Dylan DuchenCenter for Biomedical Data Science, Yale University School of Medicine, New Haven, CT 06511, USA.ORCID 0000-0001-5629-2012
Andrea L CoxDivision of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Winston TimpDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
David L ThomasDivision of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Steven J ClipmanDivision of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0002-2366-8420
Abraham J KandathilDivision of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID 0000-0002-9038-134X

Funding

Leveraging the plasma virome as a biological indicator of HIV risk and transmission networks among people who inject drugsR01DA058567 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Steven J. Clipman, Abraham Kandathil · 2023 to 2026
$2.7M
Molecular Networks and Deep Learning for Targeted HIV Interventions among PWIDDP2DA056130 · NIDA · JOHNS HOPKINS UNIVERSITY · PI CLIPMAN, STEVEN J. · 2022 to 2022
$2.5M
Characterization of plasma virome in people who inject drugs to identify early transmission networks of HIV and other bloodborne infectionsR21DA053145 · NIDA · JOHNS HOPKINS UNIVERSITY · PI KANDATHIL, ABRAHAM · 2021 to 2022
$450k
NIDA NIH HHS DP2 DA056130NIDA NIH HHS DP2DA056130NIDA NIH HHS L60 DA056996NIDA NIH HHS R01 DA058567NIDA NIH HHS R01DA058567NIDA NIH HHS R21 DA053145NIDA NIH HHS R21DA053145
6 · The paper itself

Abstract

Routinely used metagenomic next-generation sequencing (mNGS) techniques often fail to detect low-level viremia (<10

Indexed as

AnelloviridaeGenome, ViralHigh-Throughput Nucleotide SequencingMetagenomicsNanopore SequencingDNA, ViralHumansNanoporesSequence Analysis, DNAViromeDNA, Viralbioinformaticscircular viral genomesmetagenomicsplasmarolling circle amplificationvirome

Identifiers

PMID38793605
PMCPMC11125752

What OpenQuestion holds

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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.