Evidence map›Paper›PMID 33930195›Full record

ArticleJournal of medical virology2021

Optimal uses of pooled testing for COVID-19 incorporating imperfect test performance and pool dilution effect: An application to congregate settings in Los Angeles County.

Roch A Nianogo, I Obi Emeruwa, Prabhu Gounder, Vladimir Manuel, Nathaniel W Anderson, Tony Kuo, Moira Inkelas, Onyebuchi A Arah

Abstract readMulticenter Study
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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

8 authors.

Roch A NianogoDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA.ORCID 0000-0001-5932-6169
I Obi EmeruwaDepartment of Health Policy and Management, UCLA Fielding School of Public Health, Los Angeles, California, USA.
Prabhu GounderLos Angeles County Department of Public Health (LACDPH), Los Angeles, California, USA.ORCID 0000-0002-8600-0348
Vladimir ManuelDivision of Pulmonary and Critical Care Medicine, UCLA David Geffen School of Medicine, Los Angeles, California, USA.ORCID 0000-0001-8101-5885
Nathaniel W AndersonCalifornia Center for Population Research, Los Angeles, California, USA.ORCID 0000-0002-4305-2447
Tony KuoDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA.ORCID 0000-0002-4120-8559
Moira InkelasDepartment of Health Policy and Management, UCLA Fielding School of Public Health, Los Angeles, California, USA.ORCID 0000-0003-1963-2430
Onyebuchi A ArahDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA.ORCID 0000-0002-9067-1697

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Statistics and Methods CoreR24HD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SELTZER, JUDITH A. · 2001 to 2016
$10.1M
NRSA Training CoreTL1TR001883 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ALEX BUI, Nina Thawata Harawa · 2016 to 2026
$8.6M
Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Martha Jane Bailey · 2016 to 2026
$6.9M
NCATS NIH HHS TL1 TR001883NCATS NIH HHS UL1 TR001881NICHD NIH HHS P2C HD041022NICHD NIH HHS R24 HD041022
6 · The paper itself

Abstract

introductionPooled testing is a potentially efficient alternative strategy for COVID-19 testing in congregate settings. We evaluated the utility and cost-savings of pooled testing based on imperfect test performance and potential dilution effect due to pooling and created a practical calculator for online use.

methodsWe developed a 2-stage pooled testing model accounting for dilution. The model was applied to hypothetical scenarios of 100 specimens collected during a one-week time-horizon cycle for varying levels of COVID-19 prevalence and test sensitivity and specificity, and to 338 skilled nursing facilities (SNFs) in Los Angeles County (Los Angeles) (data collected and analyzed in 2020).

resultsOptimal pool sizes ranged from 1 to 12 in instances where there is a least one case in the batch of specimens. 40% of Los Angeles SNFs had more than one case triggering a response-testing strategy. The median number (minimum; maximum) of tests performed per facility were 56 (14; 356) for a pool size of 4, 64 (13; 429) for a pool size of 10, and 52 (11; 352) for an optimal pool size strategy among response-testing facilities. The median costs of tests in response-testing facilities were $8250 ($1100; $46,100), $6000 ($1340; $37,700), $6820 ($1260; $43,540), and $5960 ($1100; $37,380) when adopting individual testing, a pooled testing strategy using pool sizes of 4, 10, and optimal pool size, respectively.

conclusionsPooled testing is an efficient strategy for congregate settings with a low prevalence of COVID-19. Dilution as a result of pooling can lead to erroneous false-negative results.

Indexed as

Models, StatisticalCaliforniaCOVID-19COVID-19 Nucleic Acid TestingFalse Negative ReactionsHumansNasopharynxPrevalenceRNA, ViralSARS-CoV-2Sensitivity and SpecificitySkilled Nursing FacilitiesSpecimen HandlingRNA, Viralcongregate settingcost savingCOVID-19dilutionpooled testingskilled nursing facilities

Identifiers

PMID33930195
PMCPMC8242460

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.