Evidence map›Paper›PMID 37780898›Full record

ReviewVirusdisease2023

Integrated point-of-care RT-PCR methods during and after COVID-19 pandemic.

Shagun Sharma, Surabhi Shrivastava, Shankar B Kausley, Beena Rai

Open access · greenAbstract readReview
In one paragraph

Review in Virusdisease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Shagun SharmaDepartment of Zoology, University of Rajasthan, JLN Marg, Jaipur, 302004 India.
Surabhi ShrivastavaPhysical Sciences Research Area, TCS Research, Tata Research Development and Design Centre, Tata Consultancy Services Limited, Pune, 411013 India.
Shankar B KausleyPhysical Sciences Research Area, TCS Research, Tata Research Development and Design Centre, Tata Consultancy Services Limited, Pune, 411013 India.ORCID 0000-0003-0617-4338
Beena RaiPhysical Sciences Research Area, TCS Research, Tata Research Development and Design Centre, Tata Consultancy Services Limited, Pune, 411013 India.
Tata Consultancy Services (India) · INUniversity of Rajasthan · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has taken the world by surprise and people and organisations worldwide worked in some way or the other to combat the spread; isolate from the infected and get back to normal life, as it was before the pandemic hit. In this regard, the diagnosis of COVID-19 was at the centre of control and prevention and have seen a vehement change in every aspect, especially development of point-of-care testing for better and quick diagnosis. Among different types of techniques developed, the most important was the RT-PCR method of detection which detects nucleic acid of the virus in samples. RT-PCR is a laboratory-based method requiring trained professionals and precise steps for accurate testing. With the advent and spread of the pandemic, number of RT-PCR diagnostic centres rose significantly, and the detection process became less cumbersome, easy to use, ability to handle large volume of samples, more accurate, less time-consuming, and cost-effective. Different industries developed RT-PCR kits, reducing the efforts to prepare laboratory samples. Machines were employed for labour-driven tasks in PCR testing. In addition, new age technologies such as artificial intelligence, IoT, digital systems were combined with RT-PCR for accurate and easy testing. In this review, point-of-care RT-PCR methods, when the COVID-19 started, and the methods now, has been compared on the basis of technological advancements.

Indexed as

COVID-19Point-of-care diagnosisRT-PCRSARS-CoV-2

Identifiers

PMID37780898
PMCPMC10533447
OpenAlexW4386502840

What OpenQuestion holds

Textmetadata
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.