Evidence map›Paper›PMID 35012503›Full record

ArticleBMC public health2022

Time trends in type 2 diabetes mellitus incidence across the BRICS from 1990 to 2019: an age-period-cohort analysis.

Panglin Sun, Haoyu Wen, Xiaoxue Liu, Yudiyang Ma, Jie Jang, Chuanhua Yu

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Observational
  14. Article
  15. Unilateral Phrenic Nerve Palsy as a Presentation of Diabetes Mellitus: A Rare Case Report.Clinical medicine insights. Endocrinology and diabetes · 2023
    Article
  16. Article
  17. Article
  18. 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

6 authors at 2 institutions in 1 country.

Panglin SunDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, #115 Donghu Road, Wuhan, 430071, China.
Haoyu WenDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, #115 Donghu Road, Wuhan, 430071, China.
Xiaoxue LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, #115 Donghu Road, Wuhan, 430071, China.
Yudiyang MaDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, #115 Donghu Road, Wuhan, 430071, China.
Jie JangDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, Hubei, China.
Chuanhua YuDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, #115 Donghu Road, Wuhan, 430071, China. yuchua@whu.edu.cn.
Wuhan Donghu University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence rate of type 2 diabetes mellitus (T2DM) is rapidly increasing in Brazil, Russia, India, China, and South Africa (BRICS). The present study analyzed trends in T2DM incidence rate across the BRICS and associations with age, period, and birth cohort.

methodsThe incidence rate was estimated by the data obtained from GBD 2019 (Global Burden of Disease Study 2019) and was analyzed with the age-period-cohort framework. Incidence rates of T2DM (1990-2019) were collected for each 5-year age group (from 25 to 29 to 85-89 age group) stratified by gender from the Global Burden of Disease 2019 Study.

resultsIn 2019, the the incidence rate of T2DM was 280.2 per 100,000 across the BRICS. Between 1990 and 2019, the incidence rate of T2DM among the BRICS population increased by 83.3%. In each period, as age increases, the incidence rate of T2DM in China and Russia first increased and then decreased, while the incidence rate of T2DM in Brazil, India and South Africa first increased and then decreased slightly with age group. Deteriorating period and cohort risks for incidence rate of T2DM were generally found across the BRICS.

conclusionsThe number of diabetic patients in the BRICS countries has continued to increase and the growth rate has been stable in the past 30 years, which is dependent on age and some other environmental factors. Some possible factors influencing T2DM incidence are analyzed and hypotheses generated through the age and period effects.

Indexed as

Diabetes Mellitus, Type 2BrazilChinaCohort StudiesHumansIncidenceIndiaRussiaSouth AfricaAge-period-cohort effectDiabetes mellitusIncidence

Identifiers

PMID35012503
PMCPMC8751323
OpenAlexW4205479482

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.