Evidence map›Paper›PMID 32857823›Full record

ArticlePloS one2020

A novel strategy for community screening of SARS-CoV-2 (COVID-19): Sample pooling method.

Khai Lone Lim, Nur Alia Johari, Siew Tung Wong, Loke Tim Khaw, Boon Keat Tan, Kok Keong Chan, Shew Fung Wong, Wan Ling Elaine Chan, Nurul Hanis Ramzi, Patricia Kim Chooi Lim and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
1.2field-weighted citation impact, top 12% 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

30 citing papers in PubMed, 51 citations in OpenAlex.

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  14. Clinical Impact, Costs, and Cost-effectiveness of Expanded Severe Acute Respiratory Syndrome Coronavirus 2 Testing in Massachusetts.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  15. Pooled Testing Strategies for SARS-CoV-2 diagnosis: A comprehensive review.Diagnostic microbiology and infectious disease · 2021
    Review
  16. Article
  17. Sample pooling: burden or solution?Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021
    Review
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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

12 authors at 1 institution in 1 country.

Khai Lone LimInstitute for Research, Development and Innovation (IRDI), International Medical University, Kuala Lumpur, Malaysia.
Nur Alia JohariInstitute for Research, Development and Innovation (IRDI), International Medical University, Kuala Lumpur, Malaysia.ORCID 0000-0003-4874-3164
Siew Tung WongPathology Division, School of Medicine, International Medical University, Kuala Lumpur, Malaysia.
Loke Tim KhawPathology Division, School of Medicine, International Medical University, Kuala Lumpur, Malaysia.
Boon Keat TanHuman Biology Division, School of Medicine, International Medical University, Kuala Lumpur, Malaysia.
Kok Keong ChanHuman Biology Division, School of Medicine, International Medical University, Kuala Lumpur, Malaysia.
Shew Fung WongPathology Division, School of Medicine, International Medical University, Kuala Lumpur, Malaysia.
Wan Ling Elaine ChanInstitute for Research, Development and Innovation (IRDI), International Medical University, Kuala Lumpur, Malaysia.
Nurul Hanis RamziInstitute for Research, Development and Innovation (IRDI), International Medical University, Kuala Lumpur, Malaysia.
Patricia Kim Chooi LimInstitute for Research, Development and Innovation (IRDI), International Medical University, Kuala Lumpur, Malaysia.
Sulaiman Lokman HakimCentre for Environmental and Population Health Research, Institute for Research, Development and Innovation, International Medical University, Kuala Lumpur, Malaysia.
Kenny VoonPathology Division, School of Medicine, International Medical University, Kuala Lumpur, Malaysia.ORCID 0000-0002-5418-5309
IMU University · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid global spread of the coronavirus disease (COVID-19) has inflicted significant health and socioeconomic burden on affected countries. As positive cases continued to rise in Malaysia, public health laboratories experienced an overwhelming demand for COVID-19 screening. The confirmation of positive cases of COVID-19 has solely been based on the detection of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) using real-time reverse transcription polymerase chain reaction (qRT-PCR). In efforts to increase the cost-effectiveness and efficiency of COVID-19 screening, we evaluated the feasibility of pooling clinical Nasopharyngeal/Oropharyngeal (NP/OP) swab specimens during nucleic acid extraction without a reduction in sensitivity of qRT-PCR. Pools of 10 specimens were extracted and subsequently tested by qRT-PCR according to the WHO-Charité protocol. We demonstrated that the sample pooling method showed no loss of sensitivity. The effectiveness of the pooled testing strategy was evaluated on both retrospective and prospective samples, and the results showed a similar detection sensitivity compared to testing individual sample alone. This study demonstrates the feasibility of using a pooled testing strategy to increase testing capacity and conserve resources, especially when there is a high demand for disease testing.

Indexed as

Real-Time Polymerase Chain ReactionBetacoronavirusCoronavirus InfectionsCOVID-19HumansMalaysiaMass ScreeningNasopharynxOropharynxPandemicsPneumonia, ViralSARS-CoV-2Sensitivity and SpecificitySpecimen Handling

Identifiers

PMID32857823
PMCPMC7454965
OpenAlexW3080119772

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.