Evidence map›Paper›PMID 35516675›Full record

ArticleJournal of family medicine and primary care2022

Evolution of the pandemic: Analysis of demographic characteristics of COVID-19-infected patients during its two waves in Gwalior district of central India.

Durgesh Shukla, Sumit Singh Bhadoria, Manoj Bansal, Richa Changulani

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Durgesh ShuklaDepartment of Community Medicine, G.R. Medical College, Gwalior, MP, India.
Sumit Singh BhadoriaDepartment of Community Medicine, G.R. Medical College, Gwalior, MP, India.
Manoj BansalDepartment of Community Medicine, G.R. Medical College, Gwalior, MP, India.
Richa ChangulaniDepartment of Community Medicine, G.R. Medical College, Gwalior, MP, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Studies of pandemics in past centuries have suggested that the second wave was always more lethal and devastating as compared to the first wave. Regarding coronavirus disease (COVID) pandemic also, various speculations were made that during the second wave virus changes its nature either for age structure, gender or rural-urban differential. Present study was aimed to compare the demographic and mortality profile of COVID-19 patients during the two waves. Materials and Methods: A total of 51,425 individuals with 16,538 cases from first wave and 34,887 cases from the second wave were included in the study. Frequency, percentage, case fatality rate (CFR) and OR (95% CI) were calculated. Level of significance was considered at 5%. Results: Maximum cases were observed in the age group 21-30 years (23.7%). During the first wave, 29.5% females were infected while during the second wave 38.5% females were infected. Infection in rural areas increased to 5.7% as compared to 4.8% in the first wave. Among the females, CFR increased to 37% in second wave which was 25.2% in the first wave. Disease load was at its peak in the month of April 2021. Conclusion: During the second wave, infection rate and mortality were higher in females and patients residing in rural areas showing extension of community spread. Patients with age above 50 years succumbed more. Occurrence of more than two-fifth of the cases in a single month (April 2021) shows a need for better planning for the supposed third wave to tackle any unwanted situation.

Indexed as

Agecase fatality rate (CFR)first wavepandemic wavesecond wave

Identifiers

PMID35516675
PMCPMC9067213

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.