Evidence map›Paper›PMID 37397651›Full record

ArticleCureus2023

Chasing SARS-CoV-2 XBB.1.16 Recombinant Lineage in India and the Clinical Profile of XBB.1.16 Cases in Maharashtra, India.

Rajesh P Karyakarte, Rashmita Das, Mansi V Rajmane, Sonali Dudhate, Jeanne Agarasen, Praveena Pillai, Priyanka M Chandankhede, Rutika S Labhshetwar, Yogita Gadiyal, Preeti P Kulkarni and 4 more

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

14 authors.

Rajesh P KaryakarteMicrobiology, Byramjee Jeejeebhoy Government Medical College & Sassoon General Hospitals, Pune, IND.
Rashmita DasMicrobiology, Byramjee Jeejeebhoy Government Medical College & Sassoon General Hospitals, Pune, IND.
Mansi V RajmaneMicrobiology, Byramjee Jeejeebhoy Government Medical College & Sassoon General Hospitals, Pune, IND.
Sonali DudhateMicrobiology, Byramjee Jeejeebhoy Government Medical College & Sassoon General Hospitals, Pune, IND.
Jeanne AgarasenMicrobiology, Byramjee Jeejeebhoy Government Medical College & Sassoon General Hospitals, Pune, IND.
Praveena PillaiMicrobiology, Byramjee Jeejeebhoy Government Medical College & Sassoon General Hospitals, Pune, IND.
Priyanka M ChandankhedeMicrobiology, Byramjee Jeejeebhoy Government Medical College & Sassoon General Hospitals, Pune, IND.
Rutika S LabhshetwarMicrobiology, Byramjee Jeejeebhoy Government Medical College & Sassoon General Hospitals, Pune, IND.
Yogita GadiyalMicrobiology, Byramjee Jeejeebhoy Government Medical College & Sassoon General Hospitals, Pune, IND.
Preeti P KulkarniMicrobiology, Byramjee Jeejeebhoy Government Medical College & Sassoon General Hospitals, Pune, IND.
Safanah NizarudeenMicrobiology, Byramjee Jeejeebhoy Government Medical College & Sassoon General Hospitals, Pune, IND.
Suvarna JoshiMicrobiology, Byramjee Jeejeebhoy Government Medical College & Sassoon General Hospitals, Pune, IND.
Krishanpal KarmodiyaBiology, Indian Institute of Science Education and Research, Pune, IND.
Varsha PotdarInfectious Disease, Indian Council of Medical Research (ICMR) - National Institute of Virology, Pune, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background SARS-CoV-2 has evolved rapidly, resulting in the emergence of lineages with a competitive advantage over one another. Co-infections with different SARS-CoV-2 lineages can give rise to recombinant lineages. To date, the XBB lineage is the most widespread recombinant lineage worldwide, with the recently named XBB.1.16 lineage causing a surge in the number of COVID-19 cases in India. Methodology The present study involved retrieval of SARS-CoV-2 genome sequences from India (between December 1, 2022 and April 8, 2023) through GISAID; sequences were curated, followed by lineage and phylogenetic analysis. Demographic and clinical data from Maharashtra, India were collected telephonically, recorded in Microsoft® Excel, and analyzed using IBM® SPSS statistics, version 29.0.0.0 (241). Results A total of 2,944 sequences were downloaded from the GISAID database, of which 2,856 were included in the study following data curation. The sequences from India were dominated by the XBB.1.16* lineage (36.17%) followed by XBB.2.3* (12.11%) and XBB.1.5* (10.36%). Of the 2,856 cases, 693 were from Maharashtra; 386 of these were included in the clinical study. The clinical features of COVID-19 cases with XBB.1.16* infection (XBB.1.16* cases, 276 in number) showed that 92% of those had a symptomatic disease, with fever (67%), cough (42%), rhinorrhea (33.7%), body ache (14.5%) and fatigue (14.1%) being the most common symptoms. The presence of comorbidity was found in 17.7% of the XBB.1.16* cases. Among the XBB.1.16* cases, 91.7% were vaccinated with at least one dose of vaccine against COVID-19. While 74.3% of XBB.1.16* cases were home-isolated; 25.7% needed hospitalization/institutional quarantine, of these, 33.8% needed oxygen therapy. Out of 276 XBB.1.16* cases, seven (2.5%) cases succumbed to the disease. The majority of XBB.1.16* cases who died belonged to an elderly age group (60 years and above), had underlying comorbid condition/s, and needed supplemental oxygen therapy. The clinical features of COVID-19 cases infected with other co-circulating Omicron variants were similar to XBB.1.16* cases. Conclusion The study reveals that XBB.1.16* lineage has become the most predominant SARS-CoV-2 lineage in India. The study also shows that the clinical features and outcome of XBB.1.16* cases were similar to those of other co-circulating Omicron lineage infected cases in Maharashtra, India.

Indexed as

clinical featurescovid-19omicron variantsars-cov-2xbbxbb.1.16xbb.1.16*xbb.1.16.1

Identifiers

PMID37397651
PMCPMC10314318

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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.