Evidence map›Paper›PMID 34274478›Full record

ArticleGene2021

No association between the SARS-CoV-2 variants and mortality rates in the Eastern Mediterranean Region.

Saad Omais, Samer Kharroubi, Hassan Zaraket

Abstract read
In one paragraph

Article in Gene, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

3 authors.

Saad OmaisDepartment of Biology, Faculty of Arts and Sciences, American University of Beirut, Beirut, Lebanon.
Samer KharroubiDepartment of Nutrition and Food Sciences, Faculty of Agricultural and Food Sciences, American University of Beirut, Beirut, Lebanon.
Hassan ZaraketFaculty of Medicine, Center for Infectious Diseases Research, American University of Beirut, Beirut 1107 2020, Lebanon; Department of Experimental Pathology, Faculty of Medicine, Immunology & Microbiology, American University of Beirut, Beirut 1107 2020, Lebanon. Electronic address: hz34@aub.edu.lb.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the novel coronavirus SARS-CoV-2 continues to spread in all countries, there is a growing interest in monitoring and understanding the impact of emerging strains on virus transmission and disease severity. Here, we analyzed SARS-CoV-2 genomic sequences reported in the Eastern Mediterranean Region (EMR) countries, as of 1 January 2021. The majority (~75%) of these sequences originated from three out of 22 EMR countries, and 65.8% of all sequences belonged to GISAID clades GR, GH, G and GV. A delay ranging between 30 and 150 days from sample collection to sequence submission was observed across all countries, limiting the utility of such data in informing public health policies. We identified ten common non-synonymous mutations represented among SARS-CoV-2 in the EMR and several country-specific ones. Two substitutions, spike_D614G and NSP12_P323L, were predominantly concurrent in most countries. While the single incidence of NSP12_P323L was positively correlated with higher case fatality rates in EMR, no such association was established for the double (spike_D614G and NSP12_P323L) concurrent variant across the region. Our study identified critical data gaps in EMR highlighting the importance of enhancing surveillance and sequencing capacities in the region.

Indexed as

MutationAdolescentAdultChildChild, PreschoolCOVID-19FemaleGenome, ViralHumansInfantInfant, NewbornMaleMediterranean RegionMiddle AgedSARS-CoV-2Young AdultCase fatality rateEast Mediterranean RegionSARS-CoV-2VariantsWhole genome

Identifiers

PMID34274478
PMCPMC8282436

What OpenQuestion holds

Textmetadata
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.