Evidence map›Paper›PMID 33880458›Full record

ArticleThe Lancet regional health. Europe2021

Epidemiology, clinical characteristics, and virologic features of COVID-19 patients in Kazakhstan: A nation-wide retrospective cohort study.

Sergey Yegorov, Maiya Goremykina, Raifa Ivanova, Sara V Good, Dmitriy Babenko, Alexandr Shevtsov, Kelly S MacDonald, Yersin Zhunussov, COVID-19 Genomics Research Groupon behalf of the Semey COVID-19 Epidemiology Research Group

Registry-linked trialAbstract read
In one paragraph

Article in The Lancet regional health. Europe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04871841 (Study of Sputnik V COVID-19 Vaccination in Adults in Kazakhstan), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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.

NCT04871841 completednot on this map

Study of Sputnik V COVID-19 Vaccination in Adults in Kazakhstan

TypeobservationalSponsorKaraganda Medical UniversityRan2021 to 2023Enrolled82ConditionsCovid19, Vaccine Adverse ReactionArmsSputnik V
3 · Its place in the literature

Who cites it

19 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

9 authors.

Sergey YegorovSchool of Sciences and Humanities, Nazarbayev University, 53 Kabanbay Batyr Ave, Nur-Sultan 010000, Kazakhstan.
Maiya GoremykinaDepartment of Rheumatology and Non-Infectious Diseases, Semey Medical University 103 Abai street, Semey 071400, Kazakhstan.
Raifa IvanovaDepartment of Rheumatology and Non-Infectious Diseases, Semey Medical University 103 Abai street, Semey 071400, Kazakhstan.
Sara V GoodDepartment of Biology, University of Winnipeg, 599 Portage Avenue, Winnipeg, Manitoba R3B2E9, Canada.
Dmitriy BabenkoDepartment of Biology, University of Winnipeg, 599 Portage Avenue, Winnipeg, Manitoba R3B2E9, Canada.
Alexandr ShevtsovNational Centre for Biotechnology, 13/5 Kurgalzhynskoye road, Nur-Sultan 010000, Kazakhstan.
Kelly S MacDonaldDepartments of Medicine, Microbiology & Immunology, Max Rady College of Medicine, University of Manitoba, 745 Bannatyne Avenue, Winnipeg, Manitoba R3E 0J9, Canada.
Yersin ZhunussovDepartment of Public Health, Semey Medical University, 103 Abai street, Semey 071400, Kazakhstan.
COVID-19 Genomics Research Groupon behalf of the Semey COVID-19 Epidemiology Research Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe earliest coronavirus disease-2019 (COVID-19) cases in Central Asia were announced in March 2020 by Kazakhstan. Despite the implementation of aggressive measures to curb infection spread, gaps remain in the understanding of the clinical and epidemiologic features of the regional pandemic.

methodsWe did a retrospective, observational cohort study of patients with laboratory-confirmed COVID-19 hospitalized in Kazakhstan between February and April 2020. We compared demographic, clinical, laboratory and radiological data of patients with different COVID-19 severities on admission. Logistic regression was used to assess factors associated with disease severity and in-hospital death. Whole-genome SARS-CoV-2 analysis was performed in 53 patients.

findingsOf the 1072 patients with laboratory-confirmed COVID-19 in March-April 2020, the median age was 36 years (IQR 24-50) and 484 (45%) were male. On admission, 683 (64%) participants had asymptomatic/mild, 341 (32%) moderate, and 47 (4%) severe-to-critical COVID-19 manifestation; 20 in-hospital deaths (1•87%) were reported by 5 May 2020. Multivariable regression indicated increasing odds of severe disease associated with older age (odds ratio 1•05, 95% CI 1•03-1•07, per year increase; p<0•001), the presence of comorbidities (2•34, 95% CI 1•18-4•85; p=0•017) and elevated white blood cell count (WBC, 1•13, 95% CI 1•00-1•27; p=0•044) on admission, while older age (1•09, 95% CI 1•06-1•13, per year increase; p<0•001) and male sex (5•63, 95% CI 2•06-17•57; p=0•001) were associated with increased odds of in-hospital death. The SARS-CoV-2 isolates grouped into seven phylogenetic lineages, O/B.4.1, S/A.2, S/B.1.1, G/B.1, GH/B.1.255, GH/B.1.3 and GR/B.1.1.10; 87% of the isolates were O and S sub-types descending from early Asian lineages, while the G, GH and GR isolates were related to lineages from Europe and the Americas.

interpretationOlder age, comorbidities, increased WBC count, and male sex were risk factors for COVID-19 disease severity and mortality in Kazakhstan. The broad SARS-CoV-2 diversity suggests multiple importations and community-level amplification predating travel restriction.

fundingMinistry of Education and Science of the Republic of Kazakhstan.

Indexed as

Central AsiaClinical characteristicsCOVID-19Disease risk factorsDisease severityKazakhstanMolecular epidemiologySARS-CoV-2SARS-CoV-2 genomics

Identifiers

PMID33880458
PMCPMC8050615

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Registered trials

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.