Evidence map›Paper›PMID 32388468›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2020

Multi-Stage Group Testing Improves Efficiency of Large-Scale COVID-19 Screening.

J N Eberhardt, N P Breuckmann, C S Eberhardt

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 6% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.

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  7. COVID-19 health policy evaluation: integrating health and economic perspectives with a data envelopment analysis approach.The European journal of health economics : HEPAC : health economics in prevention and care · 2022
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  20. DOPE: D-Optimal Pooling Experimental design with application for SARS-CoV-2 screening.Journal of the American Medical Informatics Association : JAMIA · 2021
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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

3 authors at 3 institutions in 3 countries.

J N EberhardtMax Planck Institute for Mathematics, Bonn, Germany. Electronic address: mail@jenseberhardt.com.
N P BreuckmannDepartment of Physics & Astronomy, University College London, London, United Kingdom.
C S EberhardtCenter for Vaccinology and Department of Pediatrics, University Hospitals of Geneva, Geneva, Switzerland.
Max Planck Institute for Mathematics · DEUniversity College London · GBUniversity Hospital of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSARS-CoV-2 test kits are in critical shortage in many countries. This limits large-scale population testing and hinders the effort to identify and isolate infected individuals.

objectiveHerein, we developed and evaluated multi-stage group testing schemes that test samples in groups of various pool sizes in multiple stages. Through this approach, groups of negative samples can be eliminated with a single test, avoiding the need for individual testing and achieving considerable savings of resources. STUDY

designWe designed and parameterized various multi-stage testing schemes and compared their efficiency at different prevalence rates using computer simulations.

resultsWe found that three-stage testing schemes with pool sizes of maximum 16 samples can test up to three and seven times as many individuals with the same number of test kits for prevalence rates of around 5% and 1%, respectively. We propose an adaptive approach, where the optimal testing scheme is selected based on the expected prevalence rate.

conclusionThese group testing schemes could lead to a major reduction in the number of testing kits required and help improve large-scale population testing in general and in the context of the current COVID-19 pandemic.

Indexed as

PandemicsBetacoronavirusComputer SimulationCoronavirus InfectionsCOVID-19HumansMass ScreeningPneumonia, ViralPrevalenceSARS-CoV-2Group testingMass population testsTesting

Identifiers

PMID32388468
PMCPMC7177109
OpenAlexW3018202701

What OpenQuestion holds

Textmetadata
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.