Evidence map›Paper›PMID 35426487›Full record

ArticleJournal of diabetes investigation2022

Transition of cardiometabolic status and the risk of type 2 diabetes mellitus among middle-aged and older Chinese: A national cohort study.

Yiwen Qiu, Qian Yi, Shuting Li, Weidi Sun, Ziyang Ren, Yaojia Shen, Yuhang Wu, Zhicheng Wang, Wei Xia, Peige Song

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. 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

10 authors at 4 institutions in 1 country.

Yiwen Qiu *School of Public Health and Women's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Qian Yi *School of Public Health and Women's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Shuting LiSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-7670-689X
Weidi SunSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Ziyang RenSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Yaojia ShenSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.
Yuhang WuJiangxi Province Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang, China.
Zhicheng WangVanke School of Public Health, Tsinghua University School of Medicine, Tsinghua University, Beijing, China.
Wei XiaSchool of Nursing, Sun Yat-sen University, Guangzhou, China.
Peige SongSchool of Public Health and Women's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-0196-9759
Women's Hospital, School of Medicine, Zhejiang University · CNNanchang University · CNSun Yat-sen University · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionThe cardiometabolic index (CMI) has been proposed as a novel indicator of cardiometabolic status. This study aimed to investigate the effects of CMI and its longitudinal transitions on the development of type 2 diabetes mellitus in middle-aged and older Chinese. MATERIALS AND

methodsWe used data from the China Health and Retirement Longitudinal Study (2011-2018). CMI was calculated as the product of the waist circumference to height ratio and the triglyceride to high-density lipoprotein cholesterol ratio. At baseline in 2011, the subjects were classified into low- and high-CMI groups, and then divided into four transition patterns during follow-up, i.e. maintained-low, low-to-high, high-to-low, and maintained-high CMI. The hazard ratios (HRs) of different transition patterns for type 2 diabetes mellitus were calculated using multivariable Cox frailty models.

resultsDuring 2011-2018, 7,347 participants were included. Participants with a high-CMI at baseline had a significantly higher risk of new-onset type 2 diabetes mellitus than those with a low-CMI (HR = 1.78, 95% CI:1.55-2.05). For subjects with a low-CMI at baseline, the risk of developing type 2 diabetes mellitus increased by 75% if their CMI status changed to high during follow-up (HR

conclusionsBaseline CMI levels and longitudinal CMI transition patterns were associated with a higher risk of type 2 diabetes mellitus. Early anti-lipid measures should be taken to prevent type 2 diabetes mellitus in middle-aged and older Chinese.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2AgedChinaCohort StudiesHumansLongitudinal StudiesMiddle AgedRisk FactorsCardiometabolic indexCohort studyType 2 diabetes mellitus

Identifiers

PMID35426487
PMCPMC9340876
OpenAlexW4223910527

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.