Evidence map›Paper›PMID 39378428›Full record

ArticleInteractive journal of medical research2024

Shift in Demographic Involvement and Clinical Characteristics of COVID-19 From Wild-Type SARS-CoV-2 to the Delta Variant in the Indian Population: In Silico Analysis.

Ashutosh Kumar, Adil Asghar, Khursheed Raza, Ravi K Narayan, Rakesh K Jha, Abhigyan Satyam, Gopichand Kumar, Prakhar Dwivedi, Chetan Sahni, Chiman Kumari and 9 more

Abstract read
In one paragraph

Article in Interactive journal of medical research, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

19 authors.

Ashutosh KumarDepartment of Anatomy, All India Institute of Medical Sciences-Patna, Patna, India.ORCID https://orcid.org/0000-0003-1589-9568
Adil AsgharDepartment of Anatomy, All India Institute of Medical Sciences-Patna, Patna, India.ORCID https://orcid.org/0000-0002-1404-1298
Khursheed RazaDepartment of Anatomy, All India Institute of Medical Sciences-Deoghar, Deoghar, Jharkhand, India.ORCID https://orcid.org/0000-0002-0455-8306
Ravi K NarayanDepartment of Anatomy, All India Institute of Medical Sciences-Bhubaneshwar, Bhubaneshwar, India.ORCID https://orcid.org/0000-0003-2510-6744
Rakesh K JhaDepartment of Anatomy, All India Institute of Medical Sciences-Patna, Patna, India.ORCID https://orcid.org/0000-0003-1292-5927
Abhigyan SatyamDepartment of Anatomy, All India Institute of Medical Sciences-Patna, Patna, India.ORCID https://orcid.org/0000-0002-6751-9267
Gopichand KumarDepartment of Anatomy, All India Institute of Medical Sciences-Patna, Patna, India.ORCID https://orcid.org/0000-0002-3100-8908
Prakhar DwivediDepartment of Anatomy, All India Institute of Medical Sciences-Patna, Patna, India.ORCID https://orcid.org/0000-0001-8756-1676
Chetan SahniDepartment of Anatomy, All India Institute of Medical Sciences-Gorakhpur, Gorakhpur, India.ORCID https://orcid.org/0000-0002-4301-4643
Chiman KumariDepartment of Anatomy, Postgraduate Institute of Medical Education and Research, Chandigarh, India.ORCID https://orcid.org/0000-0002-9116-8380
Maheswari KulandhasamyDepartment of Biochemistry, All India Institute of Medical Sciences-Madurai, Madurai, India.ORCID https://orcid.org/0000-0002-6769-2596
Rohini MotwaniDepartment of Anatomy, All India Institute of Medical Sciences-Bibinagar, Bibinagar, Telangna, India.ORCID https://orcid.org/0000-0002-2002-5198
Gurjot KaurDepartment cum National Centre for Human Genome Studies and Research, Punjab University, Chandigarh, India.ORCID https://orcid.org/0000-0002-2894-4009
Hare KrishnaDepartment of Anatomy, All India Institute of Medical Sciences-Jodhpur, Jodhpur, Rajasthan, India.ORCID https://orcid.org/0000-0002-0683-0377
Sujeet KumarSchool of Allied Health Sciences (Nagpur), Datta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, India.ORCID https://orcid.org/0000-0001-5427-8735
Kishore SeshamDepartment of Anatomy, All India Institute of Medical Sciences-Mangalagiri, Mangalagiri, Andhra Pradesh, India.ORCID https://orcid.org/0000-0002-6196-5565
Sada N PandeyDepartment of Zoology, Banaras Hindu University, Varanasi, Uttar Pradesh, India.ORCID https://orcid.org/0000-0003-3201-2287
Rakesh ParasharIndia Health Lead, Oxford Policy Management Limited, Oxford, United Kingdom.ORCID https://orcid.org/0000-0002-2428-8622
Kamla KantDepartment of Microbiology, All India Institute of Medical Sciences-Bathinda, Bathinda, India.ORCID https://orcid.org/0000-0002-8966-6268

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Delta variant (B.1.617.2) was considered the most dangerous SARS-CoV-2 strain; however, in-depth studies on its impact based on demographic and clinical characteristics of COVID-19 are scarce.

objectiveWe aimed to investigate the shift in demographic and clinical characteristics of the COVID-19 pandemic with the emergence of the SARS-CoV-2 Delta variant compared with the wild-type (WT) strain (B.1).

methodsA cross-sectional study of COVID-19 cases in the Indian population caused by the WT strain (B.1) and Delta variant of SARS-CoV-2 was performed. The viral genomic sequence metadata containing demographic, vaccination, and patient status details (N=9500, N

resultsWith the Delta variant, in comparison with the WT strain, a higher proportion of young individuals (<20 years) were infected (0-9 years: Delta: 281/6238, 4.5% vs B.1: 75/3262, 2.3%; 10-19 years: Delta: 562/6238, 9% vs B.1: 229/3262, 7%; P<.001). The proportion of women contracting infection increased (Delta: 2557/6238, 41% vs B.1: 1174/3262, 36%; P<.001). However, it decreased for men (Delta: 3681/6238, 59% vs B.1: 2088/3262, 64%; P<.001). An increased proportion of the young population developed symptomatic illness and were hospitalized (Delta: 27/262, 10.3% vs B.1: 5/130, 3.8%; P=.02). Moreover, an increased proportion of the women (albeit not men) from the young (Delta: 37/262, 14.1% vs B.1: 4/130, 3.1%; P<.001) and adult (Delta: 197/262, 75.2% vs B.1: 72/130, 55.4%; P<.001) groups developed symptomatic illness and were hospitalized. The mean age of men and women who contracted infection (Delta: men=37.9, SD 17.2 years; women=36.6, SD 17.6 years; P<.001; B.1: men=39.6, SD 16.9 years; women=40.1, SD 17.4 years; P<.001) as well as developing symptoms or being hospitalized (Delta: men=39.6, SD 17.4 years; women=35.6, SD 16.9 years, P<.001; B.1: men=47, SD 18 years; women=49.5, SD 20.9 years, P<.001) were considerably lower with the Delta variant than the B.1 strain. The total mortality was about 1.8 times higher with the Delta variant than with the WT strain. With the Delta variant, compared with B.1, mortality decreased for men (Delta: 58/85, 68% vs B.1: 15/20, 75%; P<.001); in contrast, it increased for women (Delta: 27/85, 32% vs B.1: 5/20, 25%; P<.001). The odds of death increased with age, irrespective of sex (odds ratio 3.034, 95% CI 1.7-5.2, P<.001). Frequent postvaccination infections (24/6238) occurred with the Delta variant following complete doses.

conclusionsThe increased involvement of young people and women, the lower mean age for illness, higher mortality, and frequent postvaccination infections were significant epidemiological concerns with the Delta variant.

Indexed as

COVID-19demographic shiftepidemiologygenomic analysispandemicpopulation studiesSARS-CoV-2severity of illnessvariantvirus

Identifiers

PMID39378428
PMCPMC11496911

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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.