Evidence map›Paper›PMID 35720145›Full record

ReviewIJID regions2022

Factors associated with differential COVID-19 mortality rates in the SEAR nations: a narrative review.

Rubina Mulchandani, Giridhara R Babu, Avinash Kaur, Ranjana Singh, Tanica Lyngdoh

Open access · goldAbstract readReview
In one paragraph

Review in IJID regions, 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
1.0field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 10 citations in OpenAlex.

  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

5 authors at 2 institutions in 1 country.

Rubina MulchandaniIndian Institute of Public Health-Delhi, Public Health Foundation of India, Gurugram, India.
Giridhara R BabuIndian Institute of Public Health-Bengaluru, Public Health Foundation of India, Bengaluru, India.
Avinash KaurIndian Institute of Public Health-Delhi, Public Health Foundation of India, Gurugram, India.
Ranjana SinghIndian Institute of Public Health-Delhi, Public Health Foundation of India, Gurugram, India.
Tanica LyngdohIndian Institute of Public Health-Delhi, Public Health Foundation of India, Gurugram, India.
Institute of Public Health Bengaluru · INIndian Council of Medical Research · IN

Funding

DBT-Wellcome Trust India Alliance IA/CPHS/20/1/505278
6 · The paper itself

Abstract

Objectives: Since December 2019, the world has been grappling with the COVID-19 pandemic, which has caused severe loss of lives, the breakdown of health infrastructure, and disruption of the global economy. There is growing evidence on mortality patterns in high-income countries. However, similar evidence from low/middle-income nations is lacking. Our review aimed to describe COVID-19 mortality patterns in the WHO-SEAR nations, and explore the associated factors in order to explain such trends. Methods: A systematic and comprehensive search was undertaken in PubMed and Google Scholar to obtain maximum hits on COVID-19 mortality and its determinants in the SEAR, using a combination of MeSH terms and Boolean operators. The data were narratively synthesized in detail under appropriate themes. Results: Our search identified 6411 unique records. Mortality patterns were described in terms of important demographical and epidemiological indicators. Gaps in available evidence and paucity of adequate research in this area were also highlighted. Conclusions: This review examined significant contributors to COVID-19 mortality across SEAR nations, while emphasizing issues relating to insufficient studies and data quality, and reporting challenges and other concerns in resource-constrained settings. There is a compelling need for more work in this area, to help inform decision making and improve public-health response.

Identifiers

PMID35720145
PMCPMC8882069
OpenAlexW4214720841

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.