Evidence map›Paper›PMID 37431299›Full record

ArticleLab on a chip2023

Viral load quantitation at the point-of-care with shaken digital droplet RT-LAMP.

Daniel W Weisgerber, Krzysztof Langer, Venice Servellita, Peng Xu, Charles Y Chiu, Adam R Abate

Abstract read
In one paragraph

Article in Lab on a chip, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Daniel W WeisgerberDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA USA. adam@abatelab.org.ORCID 0000-0003-3187-634X
Krzysztof LangerDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA USA. adam@abatelab.org.
Venice ServellitaDepartment of Laboratory Medicine, University of California, San Francisco, CA USA.
Peng XuDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA USA. adam@abatelab.org.
Charles Y ChiuDepartment of Laboratory Medicine, University of California, San Francisco, CA USA.
Adam R AbateDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA USA. adam@abatelab.org.ORCID 0000-0001-9614-4831

Funding

UC BRAID Center for Accelerated Innovation COVID-19 diagnostic project developmentU54HL119893 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PALAZZOLO, MICHAEL J · 2013 to 2020
$18.3M
Gigapixel digital PCR in Giant Unilamellar VesiclesR01EB019453 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABATE, ADAM R., CHIU, CHARLES YEN · 2014 to 2022
$3.9M
SINGLE-CELL TRANSCRIPTOMIC ANALYSIS OF HIV-INFECTED CD4 T CELLS IN BLOOD AND LYMPHOID TISSUE USING PCR-ACTIVATED CELL SORTINGU01AI129206 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ABATE, ADAM R., BORITZ, ELI A · 2017 to 2020
$1.6M
NHLBI NIH HHS U54 HL119893NIAID NIH HHS U01 AI129206NIBIB NIH HHS R01 EB019453
6 · The paper itself

Abstract

Viral load quantitation is useful in clinical point-of-care settings to assess the status of patients with infectious disease, track response to treatment, and estimate infectiousness. However, existing methods for quantitating viral loads are complex and difficult to integrate into these settings. Here, we describe a simple, instrument-free approach for viral load quantitation suitable for point-of-care use. We develop a shaken digital droplet assay that can quantitate SARS-CoV2 with sensitivity comparable to gold standard qPCR.

Indexed as

COVID-19Point-of-Care SystemsHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesRNA, ViralSARS-CoV-2Sensitivity and SpecificityViral LoadRNA, Viral

Identifiers

PMID37431299
PMCPMC10368152

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.