Evidence map›Paper›PMID 33878507›Full record

ReviewClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2021

Sample pooling: burden or solution?

Nadja Grobe, Alhaji Cherif, Xiaoling Wang, Zijun Dong, Peter Kotanko

Abstract readReview
In one paragraph

Review in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. ExploringFrontiers in public health · 2025
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  14. Current-use pesticide exposures in remote Inuit communities.International journal of circumpolar health · 2024
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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

5 authors.

Nadja GrobeRenal Research Institute, New York, NY, USA.
Alhaji CherifRenal Research Institute, New York, NY, USA.
Xiaoling WangRenal Research Institute, New York, NY, USA.
Zijun DongNew York University College of Arts and Science, New York, NY, USA.
Peter KotankoRenal Research Institute, New York, NY, USA; Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: peter.kotanko@rriny.com.

Funding

Early detection, containment, and management of COVID-19 in dialysis facilities using multi-modal data sourcesR01DK130067 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI GUO, WENSHENG, KOTANKO, PETER · 2021 to 2023
$2.0M
NIDDK NIH HHS R01 DK130067
6 · The paper itself

Abstract

backgroundPool-testing strategies combine samples from multiple people and test them as a group. A pool-testing approach may shorten the screening time and increase the test rate during times of limited test availability and inadequate reporting speed. Pool testing has been effectively used for a wide variety of infectious disease screening settings. Historically, it originated from serological testing in syphilis. During the current coronavirus disease 2019 (COVID-19) pandemic, pool testing is considered across the globe to inform opening strategies and to monitor infection rates after the implementation of interventions.

aimsThis narrative review aims to provide a comprehensive overview of the global efforts to implement pool testing, specifically for COVID-19 screening. SOURCES: Data were retrieved from a detailed search for peer-reviewed articles and preprint reports using Medline/PubMed, medRxiv, Web of Science, and Google up to 21st March 2021, using search terms "pool testing", "viral", "serum", "SARS-CoV-2" and "COVID-19". CONTENT: This review summarizes the history and theory of pool testing. We identified numerous peer-reviewed articles that describe specific details and practical implementation of pool testing. Successful examples as well as limitations of pool testing, in general and specifically related to the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA and antibodies, are reviewed. While promising, significant operational, pre-analytical, logistical, and economic challenges need to be overcome to advance pool testing. IMPLICATIONS: The theory of pool testing is well understood and numerous successful examples from the past are available. Operationalization of pool testing requires sophisticated processes that can be adapted to the local medical circumstances. Special attention needs to be paid to sample collection, sample pooling, and strategies to avoid re-sampling.

Indexed as

Antibodies, ViralCOVID-19COVID-19 TestingDiagnostic Tests, RoutineHumansMass ScreeningResearch DesignRNA, ViralSARS-CoV-2Sensitivity and SpecificitySpecimen HandlingAntibodies, ViralRNA, ViralAntibodyAntigenCOVID-19Pool testingRT-PCRSARS-CoV-2Viral

Identifiers

PMID33878507
PMCPMC9477502

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.