Evidence map›Paper›PMID 36213661›Full record

ArticleFrontiers in medicine2022

Genomic profile of SARS-CoV-2 Omicron variant and its correlation with disease severity in Rajasthan.

Ravi P Sharma, Swati Gautam, Pratibha Sharma, Ruchi Singh, Himanshu Sharma, Dinesh Parsoya, Farah Deeba, Neha Bhomia, Nita Pal, Varsha Potdar and 7 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Ravi P SharmaMedical and Health Rajasthan, Jaipur, India.
Swati GautamDepartment of Microbiology, Sawai Man Singh Medical College, Jaipur, India.
Pratibha SharmaDepartment of Microbiology, Sawai Man Singh Medical College, Jaipur, India.
Ruchi SinghMedical and Health Rajasthan, Jaipur, India.
Himanshu SharmaDepartment of Microbiology, Sawai Man Singh Medical College, Jaipur, India.
Dinesh ParsoyaDepartment of Microbiology, Sawai Man Singh Medical College, Jaipur, India.
Farah DeebaDepartment of Microbiology, Sawai Man Singh Medical College, Jaipur, India.
Neha BhomiaDepartment of Microbiology, Sawai Man Singh Medical College, Jaipur, India.
Nita PalDepartment of Microbiology, Sawai Man Singh Medical College, Jaipur, India.
Varsha PotdarVirology Department, National Institute of Virology (ICMR), Pune, India.
Pragya D YadavVirology Department, National Institute of Virology (ICMR), Pune, India.
Nivedita GuptaVirology Department, Indian Council of Medical Research (ICMR), New Delhi, India.
Sudhir BhandariDepartment of Microbiology, Sawai Man Singh Medical College, Jaipur, India.
Abhinendra KumarVirology Department, National Institute of Virology (ICMR), Pune, India.
Yash JoshiVirology Department, National Institute of Virology (ICMR), Pune, India.
Priyanka PanditVirology Department, National Institute of Virology (ICMR), Pune, India.
Bharti MalhotraDepartment of Microbiology, Sawai Man Singh Medical College, Jaipur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Omicron, a new variant of Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2), was first detected in November 2021. This was believed to be highly transmissible and was reported to evade immunity. As a result, an urgent need was felt to screen all positive samples so as to rapidly identify Omicron cases and isolate them to prevent the spread of infection. Genomic surveillance of SARS-CoV-2 was planned to correlate disease severity with the genomic profile. Methods: All the SARS-CoV-2 positive cases detected in the state of Rajasthan were sent to our Lab. Samples received from 24 November 2021 to 4 January 2022 were selected for Next-Generation Sequencing (NGS). Processing was done as per protocol on the Ion Torrent S5 System for 1,210 samples and bioinformatics analysis was done. Results: Among the 1,210 samples tested, 762 (62.9%) were Delta/Delta-like and other lineages, 291 (24%) were Omicron, and 157 (12.9%) were invalid or repeat samples. Within a month, the proportion of Delta and other variants was reversed, 6% Omicron became 81%, and Delta and other variants became 19%, initially all Omicron cases were seen in international travelers and their contacts but soon community transmission was seen. The majority of patients with Omicron were asymptomatic (56.7%) or had mild disease (33%), 9.2% had moderate symptoms, and two (0.7%) had severe disease requiring hospitalization, of which one (0.3%) died and the rest were (99.7%) recovered. History of vaccination was seen in 81.1%, of the previous infection in 43.2% of cases. Among the Omicron cases, BA.1 (62.8%) was the predominant lineage followed by BA.2 (23.7%) and B.1.529 (13.4%), rising trends were seen initially for BA.1 and later for BA.2 also. Although 8.9% of patients with Delta lineage during that period were hospitalized, 7.2% required oxygen, and 0.9% died. To conclude, the community spread of Omicron occurred in a short time and became the predominant circulating variant; BA.1 was the predominant lineage detected. Most of the cases with Omicron were asymptomatic or had mild disease, and the mortality rate was very low as compared to Delta and other lineages.

Indexed as

BA.1BA.2NGSOmicronpandemicSARS-CoV-2

Identifiers

PMID36213661
PMCPMC9538571

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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.