Evidence map›Paper›PMID 38898090›Full record

ArticleCommunications medicine2024

High capacity clinical SARS-CoV-2 molecular testing using combinatorial pooling.

Shosh Zismanov, Bar Shalem, Yulia Margolin-Miller, Dalia Rosin-Grunewald, Roy Adar, Ayelet Keren-Naus, Doron Amichay, Anat Ben-Dor, Yonat Shemer-Avni, Angel Porgador and 2 more

Abstract read
In one paragraph

Article in Communications medicine, 2024. 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.

No citing paper in PubMed yet.

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

12 authors.

Shosh Zismanov *Department of Microbiology and Immunology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Bar Shalem *Department of Computer Science, Bar-Ilan University, Ramat Gan, Israel.
Yulia Margolin-Miller *Poold Diagnostics ltd., Beer-Sheva, Israel.
Dalia Rosin-GrunewaldPoold Diagnostics ltd., Beer-Sheva, Israel.
Roy AdarPoold Diagnostics ltd., Beer-Sheva, Israel.
Ayelet Keren-NausDepartment of Microbiology and Immunology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Doron AmichayCentral Laboratory, Clalit Health Services, Tel Aviv, Israel.
Anat Ben-DorCentral Laboratory, Clalit Health Services, Tel Aviv, Israel.
Yonat Shemer-AvniDepartment of Microbiology and Immunology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Angel PorgadorDepartment of Microbiology and Immunology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Noam ShentalDepartment of Computer Science, The Open University of Israel, Ra'anana, Israel. shental@openu.ac.il.ORCID http://orcid.org/0000-0001-9645-3773
Tomer HertzDepartment of Microbiology and Immunology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel. thertz@post.bgu.ac.il.ORCID http://orcid.org/0000-0002-0561-1578

Funding

Ben-Gurion University of the Negev (Ben-Gurion University) SARS-CoV-2 pilot funding
6 · The paper itself

Abstract

backgroundThe SARS-CoV-2 pandemic led to unprecedented testing demands, causing major testing delays globally. One strategy used for increasing testing capacity was pooled-testing, using a two-stage technique first introduced during WWII. However, such traditional pooled testing was used in practice only when positivity rates were below 2%.

methodsHere we report the development, validation and clinical application of P-BEST - a single-stage pooled-testing strategy that was approved for clinical use in Israel.

resultsP-BEST is clinically validated using 3636 side-by-side tests and is able to correctly detect all positive samples and accurately estimate their Ct value. Following regulatory approval by the Israeli Ministry of Health, P-BEST was used in 2021 to clinically test 837,138 samples using 270,095 PCR tests - a 3.1fold reduction in the number of tests. This period includes the Alpha and Delta waves, when positivity rates exceeded 10%, rendering traditional pooling non-practical. We also describe a tablet-based solution that allows performing manual single-stage pooling in settings where liquid dispensing robots are not available.

conclusionsOur data provides a proof-of-concept for large-scale clinical implementation of single-stage pooled-testing for continuous surveillance of multiple pathogens with reduced test costs, and as an important tool for increasing testing efficiency during pandemic outbreaks.

Identifiers

PMID38898090
PMCPMC11187214

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Registered trials

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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.