Evidence map›Paper›PMID 33619081›Full record

ArticleScience translational medicine2021

Lessons from applied large-scale pooling of 133,816 SARS-CoV-2 RT-PCR tests.

Netta Barak, Roni Ben-Ami, Tal Sido, Amir Perri, Aviad Shtoyer, Mila Rivkin, Tamar Licht, Ayelet Peretz, Judith Magenheim, Irit Fogel and 8 more

Abstract read
In one paragraph

Article in Science translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Article
  2. Article
  3. Acute SARS-CoV-2 infection.Nature reviews. Disease primers · 2025
    Review
  4. Article
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  6. Article
  7. Article
  8. Review
  9. Article
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  11. Review
  12. 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

18 authors.

Netta BarakSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 91904, Israel.ORCID 0000-0001-8074-025X
Roni Ben-AmiDepartment of Developmental Biology and Cancer Research, IMRIC, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91121, Israel.ORCID 0000-0002-4939-0324
Tal SidoClinical Virology Unit, Hadassah Hebrew University Medical Center, Jerusalem 91120, Israel.ORCID 0000-0003-1859-6714
Amir PerriComputing Department of Laboratories and Institutes, Hadassah Hebrew University Medical Center, Jerusalem 91120, Israel.ORCID 0000-0002-2843-5546
Aviad ShtoyerComputing Department of Laboratories and Institutes, Hadassah Hebrew University Medical Center, Jerusalem 91120, Israel.
Mila RivkinClinical Virology Unit, Hadassah Hebrew University Medical Center, Jerusalem 91120, Israel.ORCID 0000-0003-4558-5324
Tamar LichtDepartment of Medical Neurobiology, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91121, Israel.ORCID 0000-0003-2333-1665
Ayelet PeretzDepartment of Developmental Biology and Cancer Research, IMRIC, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91121, Israel.
Judith MagenheimDepartment of Developmental Biology and Cancer Research, IMRIC, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91121, Israel.ORCID 0000-0003-3969-0662
Irit FogelClinical Virology Unit, Hadassah Hebrew University Medical Center, Jerusalem 91120, Israel.
Ayalah LivnehClinical Virology Unit, Hadassah Hebrew University Medical Center, Jerusalem 91120, Israel.
Yutti DaitchClinical Virology Unit, Hadassah Hebrew University Medical Center, Jerusalem 91120, Israel.
Esther Oiknine-DjianClinical Virology Unit, Hadassah Hebrew University Medical Center, Jerusalem 91120, Israel.
Gil BenedekClinical Virology Unit, Hadassah Hebrew University Medical Center, Jerusalem 91120, Israel.
Yuval DorDepartment of Developmental Biology and Cancer Research, IMRIC, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 91121, Israel. danaw@ekmd.huji.ac.il yuvald@ekmd.huji.ac.il moranya@mail.huji.ac.il.ORCID 0000-0003-2456-2289
Dana G WolfClinical Virology Unit, Hadassah Hebrew University Medical Center, Jerusalem 91120, Israel. danaw@ekmd.huji.ac.il yuvald@ekmd.huji.ac.il moranya@mail.huji.ac.il.ORCID 0000-0001-5507-4160
Moran YassourSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 91904, Israel. danaw@ekmd.huji.ac.il yuvald@ekmd.huji.ac.il moranya@mail.huji.ac.il.ORCID 0000-0002-7344-5188
Hebrew University-Hadassah COVID-19 Diagnosis Team

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIPSITCH, MARC · 2009 to 2018
$26.4M
NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

Pooling multiple swab samples before RNA extraction and real-time reverse transcription polymerase chain reaction (RT-PCR) analysis has been proposed as a strategy to reduce costs and increase throughput of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) tests. However, reports on practical large-scale group testing for SARS-CoV-2 have been scant. Key open questions concern reduced sensitivity due to sample dilution, the rate of false positives, the actual efficiency (number of tests saved by pooling), and the impact of infection rate in the population on assay performance. Here, we report an analysis of 133,816 samples collected between April and September 2020 and tested by Dorfman pooling for the presence of SARS-CoV-2. We spared 76% of RNA extraction and RT-PCR tests, despite the frequently changing prevalence (0.5 to 6%). We observed pooling efficiency and sensitivity that exceeded theoretical predictions, which resulted from the nonrandom distribution of positive samples in pools. Overall, our findings support the use of pooling for efficient large-scale SARS-CoV-2 testing.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansReverse Transcriptase Polymerase Chain ReactionRNA, ViralSensitivity and SpecificitySpecimen HandlingRNA, Viral

Identifiers

PMID33619081
PMCPMC8099176

What OpenQuestion holds

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LicenceCC BY
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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.