Evidence map›Paper›PMID 34611670›Full record

ArticlemedRxiv : the preprint server for health sciences2021

The Kinetics of COVID-19 Vaccine Response in a Community Vaccinated Population.

Michael Tu, Samantha Chiang, Richard Bender, David T W Wong, Charles Strom

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Michael TuLiquid Diagnostics LLC, San Clemente, CA, USA.
Samantha ChiangUCLA School of Dentistry, Los Angeles, CA, USA.
Richard BenderLiquid Diagnostics LLC, San Clemente, CA, USA.
David T W WongUCLA School of Dentistry, Los Angeles, CA, USA.
Charles StromLiquid Diagnostics LLC, San Clemente, CA, USA.

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
AFS/SERS Saliva-based SARS-CoV-2 Earliest Infection and Antibodies DetectionU18TR003778 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HUANG, TONY JUN, KIM, YONG · 2021 to 2022
$1.8M
NCATS NIH HHS U18 TR003778NHLBI NIH HHS U54 HL119893
6 · The paper itself

Abstract

We used a noninvasive electrochemical quantitative assay for IgG antibodies to SARS-CoV-2 S1 in saliva to investigate the kinetics of antibody response in a community-based population who had received either the Pfizer or Moderna mRNA-based vaccines. Samples were received from a total of 97 individuals including a subset of 42 individuals who collected samples twice-weekly for 3 months or longer. In all, 840 samples were collected and analyzed. In all individuals, salivary antibody levels rose sharply in the 2-week period following their second vaccination, with peak antibody levels being at 10-20 days post-vaccination. We observed that 20%, 10% and 2.4% of individuals providing serial samples had a 90%, 95%, and 99% drop respectively from peak levels during the duration of monitoring and two patients fell to pre-vaccination levels (5%). The use of non-invasive quantitative salivary antibody measurement can allow widespread, cost-effective monitoring of vaccine response. ARTICLE SUMMARY LINE: COVID-19 antibodies were measured in saliva and 20% of vaccinated subjects experienced a 90% drop in peak antibody levels over the course of monitoring.

Identifiers

PMID34611670
PMCPMC8491861
OpenAlexW3202400952

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.