Evidence map›Paper›PMID 35311567›Full record

ArticleMicrobiology spectrum2022

SARS-CoV-2 Lineage Tracking, and Evolving Trends Seen during Three Consecutive Peaks of Infection in Delhi, India: a Clinico-Genomic Study.

Pramod Gautam, Diptanu Paul, Varun Suroliya, Rahul Garg, Reshu Agarwal, Santanu Das, Urvinder S Kaur, Amit Pandey, Arjun Bhugra, Bansidhar Tarai and 3 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

13 authors at 2 institutions in 1 country.

Pramod Gautam *Genome Sequencing Laboratory, Institute of Liver and Biliary Sciencesgrid.418784.6, New Delhi, India.ORCID 0000-0003-2046-7719
Diptanu Paul *Department of Clinical Virology, Institute of Liver and Biliary Sciencesgrid.418784.6, New Delhi, India.
Varun Suroliya *Genome Sequencing Laboratory, Institute of Liver and Biliary Sciencesgrid.418784.6, New Delhi, India.
Rahul GargDepartment of Clinical Virology, Institute of Liver and Biliary Sciencesgrid.418784.6, New Delhi, India.
Reshu AgarwalDepartment of Clinical Virology, Institute of Liver and Biliary Sciencesgrid.418784.6, New Delhi, India.
Santanu DasDepartment of Pathology, Institute of Liver and Biliary Sciencesgrid.418784.6, New Delhi, India.
Urvinder S KaurDepartment of Pathology, Institute of Liver and Biliary Sciencesgrid.418784.6, New Delhi, India.
Amit PandeyDepartment of Clinical Virology, Institute of Liver and Biliary Sciencesgrid.418784.6, New Delhi, India.
Arjun BhugraDepartment of Clinical Virology, Institute of Liver and Biliary Sciencesgrid.418784.6, New Delhi, India.
Bansidhar TaraiMax Super Speciality Hospital, Max Healthcare, New Delhi, India.
Chhagan BihariDepartment of Pathology, Institute of Liver and Biliary Sciencesgrid.418784.6, New Delhi, India.
S K SarinDepartment of Hepatology, Institute of Liver and Biliary Sciencesgrid.418784.6, New Delhi, India.ORCID 0000-0002-0544-5610
Ekta GuptaDepartment of Clinical Virology, Institute of Liver and Biliary Sciencesgrid.418784.6, New Delhi, India.ORCID 0000-0002-5237-216X
Institute of Liver and Biliary Sciences · INMax Super Speciality Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since its advent, the pandemic has caused havoc in multiple waves due partly to amplified transmissibility and immune escape to vaccines. Delhi, India also witnessed brutal multiple peaks causing exponential rise in cases. Here we had retrospectively investigated clade variation, emergence of new lineages and varied clinical characteristics during those three peaks in order to understand the trajectory of the ongoing pandemic. In this study, a total of 123,378 samples were collected for a time span of 14 months (1 June 2020 to 3 August 2021) encompassing three different peaks in Delhi. A subset of 747 samples was processed for sequencing. Complete clinical and demographic details of all the enrolled cases were also collected. We detected 26 lineages across three peaks nonuniformly from 612 quality passed samples. The first peak was driven by diverse early variants, while the second one by B.1.36 and B.1.617.2, unlike third peak caused entirely by B.1.617.2. A total of 18,316 mutations with median of 34 were reported. Majority of mutations were present in less than 1% of samples. Differences in clinical characteristics across three peaks was also reported. To be ahead of the frequently changing course of the ongoing pandemic, it is of utmost importance that novel lineages be tracked continuously. Prioritized sequencing of sudden local outburst and community hot spots must be done to swiftly detect a novel mutation/lineage of potential clinical importance.

Indexed as

COVID-19SARS-CoV-2GenomicsHumansMutationPhylogenyRetrospective StudiesSpike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19COVID-19 in DelhiCOVID-19 trackingDelhigenome surveillanceIndialineage trackingpandemicSARS-CoV-2 lineagesSARS-CoV-2 variants

Identifiers

PMID35311567
PMCPMC9045110
OpenAlexW4220921239

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.