Evidence map›Paper›PMID 32909003›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Pooling saliva to increase SARS-CoV-2 testing capacity.

Anne E Watkins, Eli P Fenichel, Daniel M Weinberger, Chantal B F Vogels, Doug E Brackney, Arnau Casanovas-Massana, Melissa Campbell, John Fournier, Santos Bermejo, Rupak Datta and 7 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
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  3. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 3 institutions in 1 country.

Anne E WatkinsDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA.
Eli P FenichelYale School of the Environment, Yale University, New Haven, CT 06510, USA.
Daniel M WeinbergerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA.
Chantal B F VogelsDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA.
Doug E BrackneyCenter for Vector-Borne and Zoonotic Diseases, Department of Environmental Sciences, The Connecticut Agricultural Experiment Station, New Haven, Connecticut 06504, USA.
Arnau Casanovas-MassanaDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA.
Melissa CampbellDepartment of Pediatrics, Division of Infectious Diseases, Yale School of Medicine, New Haven, CT, 06510, USA.
John FournierDepartment of Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, 06510, USA.
Santos BermejoDepartment of Internal Medicine, Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine, New Haven, CT, 06510, USA.
Rupak DattaDepartment of Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, 06510, USA.
Yale IMPACT Research Team
Charles S Dela CruzDepartment of Internal Medicine, Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine, New Haven, CT, 06510, USA.
Shelli F FarhadianDepartment of Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, 06510, USA.
Akiko IwasakiDepartment of Immunobiology, Yale School of Medicine, New Haven, CT, 06510, USA.
Albert I KoDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA.
Nathan D GrubaughDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA.
Anne L WyllieDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA.
Yale University · USConnecticut Agricultural Experiment Station · USHoward Hughes Medical Institute · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Expanding testing capabilities is integral to managing the further spread of SARS-CoV-2 and developing reopening strategies, particularly in regards to identifying and isolating asymptomatic and pre-symptomatic individuals. Central to meeting testing demands are specimens that can be easily and reliably collected and laboratory capacity to rapidly ramp up to scale. We and others have demonstrated that high and consistent levels of SARS-CoV-2 RNA can be detected in saliva from COVID-19 inpatients, outpatients, and asymptomatic individuals. As saliva collection is non-invasive, extending this strategy to test pooled saliva samples from multiple individuals could thus provide a simple method to expand testing capacity. However, hesitation towards pooled sample testing arises due to the dilution of positive samples, potentially shifting weakly positive samples below the detection limit for SARS-CoV-2 and thereby decreasing the sensitivity. Here, we investigated the potential of pooling saliva samples by 5, 10, and 20 samples prior to RNA extraction and RT-qPCR detection of SARS-CoV-2. Based on samples tested, we conservatively estimated a reduction of 7.41%, 11.11%, and 14.81% sensitivity, for each of the pool sizes, respectively. Using these estimates we modeled anticipated changes in RT-qPCR cycle threshold to show the practical impact of pooling on results of SARS-CoV-2 testing. In tested populations with greater than 3% prevalence, testing samples in pools of 5 requires the least overall number of tests. Below 1% however, pools of 10 or 20 are more beneficial and likely more supportive of ongoing surveillance strategies.

Identifiers

PMID32909003
PMCPMC7480055
OpenAlexW3081853190

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.