Evidence map›Paper›PMID 35946230›Full record

ArticleThe Indian journal of medical research

Characterizing the third wave of COVID-19: An analysis from the National Clinical Registry of COVID-19.

Gunjan Kumar, Aparna Mukherjee, Alka Turuk, Ashish Bhalla, Arunansu Talukdar, Sachin K Shivnitwar, U K Ojha, Geetha R Menon, Damodar Sahu, Samiran Panda and 3 more

Open access · diamondAbstract read
In one paragraph

Article in The Indian journal of medical research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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 9 institutions in 2 countries.

Gunjan KumarClinical Studies, Trials & Projection Unit, Indian Council of Medical Research, New Delhi, India.
Aparna MukherjeeClinical Studies, Trials & Projection Unit, Indian Council of Medical Research, New Delhi, India.
Alka TurukNational Clinical Registry for COVID-19, Indian Council of Medical Research, New Delhi, India.
Ashish BhallaDepartment of Internal Medicine, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Arunansu TalukdarDepartment of Geriatric Medicine, Medical College, Kolkata, West Bangal, India.
Sachin K ShivnitwarDepartment of Medicine, Dr. D.Y. Patil Medical College Hospital & Research Centre, Pune, Maharashtra, India.
U K OjhaDepartment of Medicine, Saheed Nirmal Mahto Medical College & Hospital, Dhanbad, Jharkhand, India.
Geetha R MenonICMR-National Institute of Medical Statistics, New Delhi, India.
Damodar SahuICMR-National Institute of Medical Statistics, New Delhi, India.
Samiran PandaDivision of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
Vishnu Vardhan RaoICMR-National Institute of Medical Statistics, New Delhi, India.
Sujeet Kumar SinghNational Centre for Disease Control, New Delhi, India.
Balram BhargavaIndian Council of Medical Research, New Delhi, India.
National Institute of Medical Statistics · INClinical Trials New Zealand · NZNational Center for Disease Control · INBangur Institute of Neurosciences · INDr. D. Y. Patil Medical College, Hospital and Research Centre · INIndian Council of Medical Research · INIndian Institute of Technology Dhanbad · INNational Institute of Pathology · INPost Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: Data from the National Clinical Registry for COVID-19 (NCRC) were analyzed with an aim to describe the clinical characteristics, course and outcomes of patients hospitalized with COVID-19 in the third wave of the pandemic and compare them with patients admitted earlier. Methods: The NCRC, launched in September 2020, is a multicentre observational initiative, which provided the platform for the current investigation. Demographic, clinical, treatment and outcome data of hospitalized COVID-19 patients were captured in an electronic data portal from 38 hospitals across India. Patients enrolled during December 16, 2021 to January 17, 2022 were considered representative of the third wave of COVID-19 and compared with those registered during November 15 to December 15, 2021, representative of the tail end of the second wave. Results: Between November 15, 2021 and January 17, 2022, 3230 patients were recruited in NCRC. Patients admitted in the third wave were significantly younger than those admitted earlier (46.7±20.5 vs. 54.6±18 yr). The patients admitted in the third wave had a lower requirement of drugs including steroids, interleukin (IL)-6 inhibitors and remdesivir as well as lower oxygen supplementation and mechanical ventilation. They had improved hospital outcomes with significantly lower in-hospital mortality (11.2 vs. 15.1%). The outcomes were better among the fully vaccinated when compared to the unvaccinated or partially vaccinated. Interpretation & conclusions: The pattern of illness and outcomes were observed to be different in the third wave compared to the last wave. Hospitalized patients were younger with fewer comorbidities, decreased symptoms and improved outcomes, with fully vaccinated patients faring better than the unvaccinated and partially vaccinated ones.

Indexed as

COVID-19Influenza, HumanHospitalizationHumansPandemicsRegistriesDelta variantdemographyhospitalizedOmicron variantoutcomeSARS-CoV-2

Identifiers

PMID35946230
PMCPMC9807205
OpenAlexW4297880841

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.