Evidence map›Paper›PMID 34465636›Full record

ArticleJournal of research in health sciences2021

Analysis of COVID-19 pandemics in Kazakhstan.

Baurzhan Zhussupov, Timur Saliev, Gulya Sarybayeva, Kuanysh Altynbekov, Shynar Tanabayeva, Sagat Altynbekov, Gulnara Tuleshova, Dainius Pavalkis, Ildar Fakhradiyev

Abstract read
In one paragraph

Article in Journal of research in health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  7. COVID-19 Mortality in Public Hospitals in a Brazilian State: An Analysis of the Three Waves of the Pandemic.International journal of environmental research and public health · 2022
    Observational
  8. 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

9 authors.

Baurzhan ZhussupovNational Center for Public Health, Nur-Sultan, Kazakhstan.
Timur SalievS.D. Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.
Gulya SarybayevaAstana Medical University, Nur-sultan, Kazakhstan.
Kuanysh AltynbekovRepublican Scientific and Practical Centre of Mental Health of the Ministry of Health of the Republic of Kazakhstan, Almaty, Kazakhstan.
Shynar TanabayevaS. D. Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.
Sagat AltynbekovS. D. Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.
Gulnara TuleshovaAstana Medical University, Nur-sultan, Kazakhstan.
Dainius PavalkisAstana Medical University, Nur-sultan, Kazakhstan.
Ildar FakhradiyevS. D. Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan. fakhradiyev.i@kaznmu.kz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to analyze the demographic and epidemiological features of identified COVID-19 cases in Kazakhstan. STUDY

designA cross-sectional study.

methodsThis cross-sectional study aimed to analyze COVID-19 cases (n=5116) collected from March 13 to June 6, 2020, in Kazakhstan. The data were obtained from a state official medical electronic database. The study investigated the geographic and demographic data of patients as well as the association of COVID-19 cases with gender and age. The prevalence of symptoms, the presence of comorbidities, complications, and COVID-19 mortality were determined for all patients.

resultsThe mean±SD age of the patients in this study was 34.8±17.6 years, and the majority (55.7%) of COVID-19 cases were male and residents of cities (79.6%). In total, 80% of the cases had the asymptomatic/mild form of the disease. Cough (20.8 %) and sore throat (17.1%) were the most common symptoms among patients, and pneumonia was diagnosed in 1 out of 5 cases. Acute respiratory distress syndrome (ARDS) was recorded in 1.2% of the patients. The fatality rate was 1% in the study population and lethality was 2.6 times higher in males compared to females.  Each additional year in age increased the probability of COVID-19 infection by 1.06 times. The presence of cardiovascular, diabetes, respiratory, and kidney diseases affected the rate of mortality (P<0.05).

conclusionThe results demonstrated a high proportion (40%) of the asymptomatic type of coronavirus infection in the Kazakhstan population. The severity of COVID-19 symptoms and lethality were directly related to the age of patients and the presence of comorbidities.

Indexed as

COVID-19PandemicsAdolescentAdultAgedAge FactorsCarrier StateChildComorbidityCoughCross-Sectional StudiesFemaleHumansKazakhstanMaleMiddle AgedComorbidityCoronavirusCOVID-19EpidemiologyMortality

Identifiers

PMID34465636
PMCPMC8957677

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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.