Evidence map›Paper›PMID 36368961›Full record

ArticleBMC endocrine disorders2022

Epidemiology of type 1 and type 2 diabetes mellitus in Kazakhstan: data from unified National Electronic Health System 2014-2019.

Dinara Galiyeva, Arnur Gusmanov, Yesbolat Sakko, Alpamys Issanov, Kuralay Atageldiyeva, Kainar Kadyrzhanuly, Aiymzhan Nurpeissova, Marzhan Rakhimzhanova, Aigul Durmanova, Antonio Sarria-Santamera and 1 more

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Genetic Associations ofDiagnostics (Basel, Switzerland) · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

11 authors.

Dinara Galiyeva *Department of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000.
Arnur Gusmanov *Department of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000.
Yesbolat SakkoDepartment of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000.
Alpamys IssanovDepartment of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000.
Kuralay AtageldiyevaDepartment of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000.
Kainar KadyrzhanulyDepartment of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000.
Aiymzhan NurpeissovaDepartment of Medical Information Analysis of Outpatient and Polyclinic Care, Republican Center of Electronic Healthcare, Nur-Sultan, Kazakhstan.
Marzhan RakhimzhanovaClinical Academic Department of Pediatrics, University Medical Center, Nur-Sultan, Kazakhstan.
Aigul DurmanovaClinical Academic Department of Internal Medicine, University Medical Center, Nur-Sultan, Kazakhstan.
Antonio Sarria-SantameraDepartment of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000.
Abduzhappar GaipovDepartment of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek street #5/1, Nur-Sultan, Kazakhstan, 010000. abduzhappar.gaipov@nu.edu.kz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to explore descriptive epidemiology of T1 and T2 Diabetes Mellitus (DM) and to investigate demographic factors and comorbidities associated with all-cause mortality by aggregating and utilizing large-scale administrative healthcare data from the Unified National Electronic Health System (UNEHS) of Kazakhstan for 2014-2019 years period.

methodsA total of 475,539 individuals were included in the analyses. The median years of follow-up for Type 1 DM patients accounted for 4.7 years and 4.5 years in Type 2 DM patients. We used Kaplan-Meier and log-rank test to calculate failure function and differences in survival by age, sex, ethnicity, and comorbidities with all-cause mortality for Type 1 and Type 2 DM. Cox proportional hazards regression analysis was used to obtain crude and adjusted hazard ratios.

resultsPrevalence of Type 1 and Type 2 DM increased 1.7 times from 2014 to 2019. Mortality of Type 1 and Type 2 DM also increased 4 times and 6 times from 2014 to 2019, respectively. Male sex, older age and Kazakh ethnicity were associated with a higher risk of all-cause death compared to females, younger age and other nationalities than Kazakh in patients with Type 1 and Type 2 DM. Coronary artery disease, diabetic nephropathy, stroke, amputations and neoplasms were associated with a higher risk of all-cause death.

conclusionThe prevalence and mortality rate of Type 1 and Type 2 DM increased during the years 2014-2019 in Kazakhstan. Male sex, older age and Kazakh ethnicity were associated with a higher risk of all-cause death compared to females, younger age and other nationalities than Kazakh. Coronary artery disease, diabetic nephropathy, stroke, amputations and neoplasms were associated with a higher risk of all-cause death.

Indexed as

Coronary Artery DiseaseDiabetes MellitusDiabetes Mellitus, Type 2Diabetic NephropathiesStrokeElectronicsFemaleHumansKazakhstanMaleProportional Hazards ModelsRisk FactorsComorbiditiesDiabetesEpidemiologyMortalitySurvival

Identifiers

PMID36368961
PMCPMC9650815

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.