Evidence map›Paper›PMID 34181279›Full record

ArticleJournal of clinical laboratory analysis2021

Pooled testing for SARS-CoV-2 infection in an automated high-throughput platform.

Girish Chandra Dash, Usha Kiran Rout, Rashmi Ranjan Nanda, Debaprasad Parai, Hari Ram Choudhary, Srikanta Kanungo, Subrata Kumar Palo, Jaya Singh Kshatri, Jyotirmayee Turuk, Bijaya Kumar Mishra and 2 more

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 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. Review
  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

12 authors.

Girish Chandra DashDepartment of Microbiology, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Bhubaneswar, India.ORCID https://orcid.org/0000-0003-2771-5965
Usha Kiran RoutDepartment of Microbiology, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Bhubaneswar, India.ORCID https://orcid.org/0000-0002-2588-3538
Rashmi Ranjan NandaDepartment of Microbiology, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Bhubaneswar, India.ORCID https://orcid.org/0000-0002-2685-1570
Debaprasad ParaiDepartment of Microbiology, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Bhubaneswar, India.ORCID https://orcid.org/0000-0003-0266-5623
Hari Ram ChoudharyDepartment of Microbiology, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Bhubaneswar, India.ORCID https://orcid.org/0000-0001-6457-7202
Srikanta KanungoDepartment of Microbiology, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Bhubaneswar, India.ORCID https://orcid.org/0000-0001-5647-0122
Subrata Kumar PaloDepartment of Microbiology, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Bhubaneswar, India.ORCID https://orcid.org/0000-0002-0205-178X
Jaya Singh KshatriDepartment of Microbiology, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Bhubaneswar, India.ORCID https://orcid.org/0000-0003-3616-3402
Jyotirmayee TurukDepartment of Microbiology, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Bhubaneswar, India.
Bijaya Kumar MishraDepartment of Microbiology, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Bhubaneswar, India.
Sanghamitra PatiDepartment of Microbiology, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Bhubaneswar, India.ORCID https://orcid.org/0000-0002-7717-5592
Debdutta BhattacharyaDepartment of Microbiology, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Bhubaneswar, India.ORCID https://orcid.org/0000-0001-5199-5288

Funding

Indian Council of Medical Research (ICMR), New Delhi
6 · The paper itself

Abstract

backgroundActive detection of SARS-CoV-2 infection through testing is elementary for the control of COVID-19 pandemic. The implementation of large-scale RT-PCR testing has led to a rise in the demand for testing kits whose availability is always a concern.

objectiveTo find out the feasibility of pooled testing in a high-throughput platform. METHODOLOGY: Pooled testing was conducted in Roche cobas 6800 in 2 methods. Firstly, the simple two-stage testing algorithm was conducted for 1410 samples individually and then as pooled samples. Secondly, we evaluated the sensitivity of cobas 6800 for the detection of a single positive sample within a pool of negative samples.

resultsImplementing the five-sample Dorfman pooling to test 1410 samples, we identified 42 (2.9%) individual SARS-CoV-2-positive samples and 27 (9.5%) positive pool samples. The pooling strategy precisely identified all the positive samples. All individually negative samples were also accurately determined by pooling. There was 100% sensitivity of detecting positive samples in a pool of negative samples even up to 1:64 dilution. There was a threefold increase in total throughput in one-third of the cost per day.

conclusionA high-throughput platform such as Cobas 6800 can effectively increase the testing capacity by twofold to threefold by adopting the pooled testing strategy for successful management of SARS-CoV-2 and helping in the containment of community transmission.

Indexed as

AdolescentAdultAgedChildCOVID-19COVID-19 TestingFemaleHigh-Throughput Screening AssaysHumansMaleMiddle AgedSARS-CoV-2Young AdultCobas 6800high-throughput machinepooled testingRT-PCRSARS-CoV-2

Identifiers

PMID34181279
PMCPMC8274989

What OpenQuestion holds

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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.