Evidence map›Paper›PMID 32719204›Full record

ArticleIndian journal of medical microbiology

Optimal size of sample pooling for RNA pool testing: An avant-garde for scaling up severe acute respiratory syndrome coronavirus-2 testing.

Arvind Khodare, Abhishek Padhi, Ekta Gupta, Reshu Agarwal, Shantanu Dubey, Shiv Kumar Sarin

Abstract read
In one paragraph

Article in Indian journal of medical microbiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Pooled Testing Strategies for SARS-CoV-2 diagnosis: A comprehensive review.Diagnostic microbiology and infectious disease · 2021
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

6 authors.

Arvind KhodareDepartment of Clinical Virology, Institute of Liver and Biliary Sciences, New Delhi, India.
Abhishek PadhiDepartment of Clinical Virology, Institute of Liver and Biliary Sciences, New Delhi, India.
Ekta GuptaDepartment of Clinical Virology, Institute of Liver and Biliary Sciences, New Delhi, India.
Reshu AgarwalDepartment of Clinical Virology, Institute of Liver and Biliary Sciences, New Delhi, India.
Shantanu DubeyDepartment of Hospital Administration, Institute of Liver and Biliary Sciences, New Delhi, India.
Shiv Kumar SarinDepartment of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Timely diagnosis is essential for the containment of the disease and breaks in the chain of transmission of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). The present situation demands the countries to scale up their testing and design innovative strategies to conserve diagnostic kits and reagents. The pooling of samples saves time, workforce and most importantly diagnostic kits and reagents. In the present study, we tried to define the pool size that could be applied with acceptable confidence for testing. Materials and Methods: We used repeatedly tested positive clinical sample elutes having different levels of SARS CoV 2 RNA and negative sample elutes to prepare seven series of 11 pools each, having pool sizes ranging from 2 to 48 samples to estimate the optimal pool size. Each pool had one positive sample elute in different compositions. All the pools were tested by SARS CoV 2 reverse transcriptase quantitative polymerase chain reaction. Results: Out of the 77 pools, only 53 (68.8%) were found positive. The sensitivity of pools of 2-48 samples was decreased from 100% (95% confidence interval [CL]; 98.4-100) to 41.41% (95% CL; 34.9-48.1). The maximum size of the pool with acceptable sensitivity (>95%) was found to be of six samples. For the pool size of six samples, the sensitivity was 97.8% and the efficiency of pooling was 0.38. Conclusions: The pooling of samples is a practical way for scaling up testing and ultimately containing the further spread of the CoV disease 2019 pandemic.

Indexed as

BetacoronavirusClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingHumansPandemicsPneumonia, ViralReverse Transcriptase Polymerase Chain ReactionSARS-CoV-2Sensitivity and SpecificitySpecimen HandlingCoronavirus disease 2019optimal poolingpool testingreal-time polymerase chain reactionsevere acute respiratory syndrome coronavirus-2

Identifiers

PMID32719204
PMCPMC7706413

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.