Evidence map›Paper›PMID 32960929›Full record

ArticlePloS one2020

Evaluation of pooled sample analysis strategy in expediting case detection in areas with emerging outbreaks of COVID-19: A pilot study.

Anirudh K Singh, Ram Kumar Nema, Ankur Joshi, Prem Shankar, Shashwati Nema, Arun Raghuwanshi, Chitra Patankar, Bijina J Mathew, Arti Shrivas, Ritu Pandey and 3 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.5field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Pooled Testing Strategies for SARS-CoV-2 diagnosis: A comprehensive review.Diagnostic microbiology and infectious disease · 2021
    Review
  5. Sample pooling: burden or solution?Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. 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

13 authors at 1 institution in 1 country.

Anirudh K SinghDepartment of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.
Ram Kumar NemaRegional Virology Laboratory, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.
Ankur JoshiDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.
Prem ShankarDepartment of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID 0000-0003-3087-0413
Shashwati NemaDepartment of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.
Arun RaghuwanshiRegional Virology Laboratory, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.
Chitra PatankarDepartment of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.
Bijina J MathewDepartment of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.
Arti ShrivasDepartment of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.
Ritu PandeyDepartment of Biochemistry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.
Ranu TripathiDepartment of Pediatrics, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.
Debasis BiswasDepartment of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.ORCID 0000-0002-7557-3693
Sarman SinghDepartment of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.
All India Institute of Medical Sciences Bhopal · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Timely diagnosis of COVID-19 infected individuals and their prompt isolation are essential for controlling the transmission of SARS-CoV-2. Though quantitative reverse transcriptase PCR (qRT-PCR) is the method of choice for COVID-19 diagnostics, the resource-intensive and time-consuming nature of the technique impairs its wide applicability in resource-constrained settings and calls for novel strategies to meet the ever-growing demand for more testing. In this context, a pooled sample testing strategy was evaluated in the setting of emerging disease outbreak in 3 central Indian districts to assess if the cost of the test and turn-around time could be reduced without compromising its diagnostic characteristics and thus lead to early containment of the outbreak. From 545 nasopharyngeal and oropharyngeal samples received from the three emerging districts, a total of 109 pools were created with 5 consecutive samples in each pool. The diagnostic performance of qRT-PCR on pooled sample was compared with that of individual samples in a blinded manner. While pooling reduced the cost of diagnosis by 68% and the laboratory processing time by 66%, 5 of the 109 pools showed discordant results when compared with induvial samples. Four pools which tested negative contained 1 positive sample and 1 pool which was positive did not show any positive sample on deconvolution. Presence of a single infected sample with Ct value of 34 or higher, in a pool of 5, was likely to be missed in pooled sample analysis. At the reported point prevalence of 4.8% in this study, the negative predictive value of qRT-PCR on pooled samples was around 96% suggesting that the adoption of this strategy as an effective screening tool for COVID-19 needs to be carefully evaluated.

Indexed as

BetacoronavirusClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingDiagnostic ErrorsDisease OutbreaksHumansIndiaMass ScreeningPandemicsPilot ProjectsPneumonia, ViralReverse Transcriptase Polymerase Chain ReactionSARS-CoV-2Specimen Handling

Identifiers

PMID32960929
PMCPMC7508355
OpenAlexW3087321517

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.