Evidence map›Paper›PMID 35756046›Full record

ArticleFrontiers in microbiology2022

A Regional Pooling Intervention in a High-Throughput COVID-19 Diagnostic Laboratory to Enhance Throughput, Save Resources and Time Over a Period of 6 Months.

Prerna Mandhan, Mansi Sharma, Sushmita Pandey, Neha Chandel, Nidhi Chourasia, Amit Moun, Divyani Sharma, Rubee Sukar, Niyati Singh, Shubhangi Mathur and 7 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2022. 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.

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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

17 authors.

Prerna MandhanICMR-National Institute of Cancer Prevention and Research, Noida, India.
Mansi SharmaICMR-National Institute of Cancer Prevention and Research, Noida, India.
Sushmita PandeyICMR-National Institute of Cancer Prevention and Research, Noida, India.
Neha ChandelICMR-National Institute of Cancer Prevention and Research, Noida, India.
Nidhi ChourasiaICMR-National Institute of Cancer Prevention and Research, Noida, India.
Amit MounICMR-National Institute of Cancer Prevention and Research, Noida, India.
Divyani SharmaICMR-National Institute of Cancer Prevention and Research, Noida, India.
Rubee SukarICMR-National Institute of Cancer Prevention and Research, Noida, India.
Niyati SinghICMR-National Institute of Cancer Prevention and Research, Noida, India.
Shubhangi MathurICMR-National Institute of Cancer Prevention and Research, Noida, India.
Aarti KotnalaICMR-National Institute of Cancer Prevention and Research, Noida, India.
Neetu NegiICMR-National Institute of Cancer Prevention and Research, Noida, India.
Ashish GuptaICMR-National Institute of Cancer Prevention and Research, Noida, India.
Anuj KumarICMR-National Institute of Cancer Prevention and Research, Noida, India.
R Suresh KumarICMR-National Institute of Cancer Prevention and Research, Noida, India.
Pramod KumarICMR-National Institute of Cancer Prevention and Research, Noida, India.
Shalini SinghICMR-National Institute of Cancer Prevention and Research, Noida, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An effective and rapid diagnosis has great importance in tackling the ongoing COVID-19 pandemic through isolation of the infected individuals to curb the transmission and initiation of specialized treatment for the disease. It has been proven that enhanced testing capacities contribute to efficiently curbing SARS-CoV-2 transmission during the initial phases of the outbreaks. RT-qPCR is considered a gold standard for the diagnosis of COVID-19. However, in resource-limited countries expenses for molecular diagnosis limits the diagnostic capacities. Here, we present interventions of two pooling strategies as 5 sample pooling (P-5) and 10 sample pooling (P-10) in a high-throughput COVID-19 diagnostic laboratory to enhance throughput and save resources and time over a period of 6 months. The diagnostic capacity was scaled-up 2.15-folds in P-5 and 1.8-fold in P-10, reagents (toward RNA extraction and RT-qPCR) were preserved at 75.24% in P-5 and 86.21% in P-10, and time saved was 6,290.93 h in P-5 and 3147.3 h in P-10.

Indexed as

COVID-19high-throughput diagnosispooling interventionsRT-qPCR–real-time quantitative polymerase chain reactionSARS-CoV-2

Identifiers

PMID35756046
PMCPMC9218601

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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.