Evidence map›Paper›PMID 39334214›Full record

ArticleBMC medicine2024

Estimated glucose disposal rate for predicting cardiovascular events and mortality in patients with non-diabetic chronic kidney disease: a prospective cohort study.

Juan Peng, Yan Zhang, Yiqun Zhu, Weilin Chen, Li Chen, Fangyu Ma, Bin Yi, Zhijun Huang

Abstract read
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 2 pooled it
–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

82 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Association of Estimated Glucose Disposal Rate With Prevalent Kidney Stones: A Large-Scale Cross-Sectional Study in China.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

22 more citing papers are in PubMed but not listed here.

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

8 authors.

Juan Peng *Department of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yan Zhang *Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yiqun ZhuDepartment of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Weilin ChenDepartment of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Li ChenDepartment of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Fangyu MaHealth Management Center, Xiangya Hospital Central South University, Changsha, Hunan, China. waterxiaoyu@126.com.
Bin YiDepartment of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China. yibin2008@csu.edu.cn.
Zhijun HuangDepartment of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China. huangzj@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence suggests that insulin resistance (IR) is an autonomous risk factor for cardiovascular disease (CVD). Nevertheless, the association between estimated glucose disposal rate (eGDR), a novel indicator of IR, and incident CVD and mortality in chronic kidney disease (CKD) patients without diabetes remains uncertain.

methodsThe study included 19,906 participants from the UK Biobank who had an estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73m

resultsDuring a follow-up of around 12 years, 2,860 CVD, 2,249 CHD, 783 stroke, 2,431 all-cause, 2,326 non-accidental and 492 cardiovascular deaths were recorded from UK Biobank. Higher eGDR level was not only associated with lower risk of CVD (hazard ratio [HR] 0.641, 95% confidence interval [CI] 0.559-0.734), CHD (HR 0.607, 95% CI 0.520-0.709), stroke (HR 0.748, 95% CI 0.579-0.966), but also related to reduced risk of all-cause (HR 0.803, 95% CI 0.698-0.923), non-accidental (HR 0.787, 95% CI 0.682-0.908), and cardiovascular mortality (HR 0.592, 95% CI 0.423-0.829). Validation analyses from NHANES yielded consistent relationship on mortality.

conclusionsIn these two large cohorts of CKD patients without DM, a higher eGDR level was associated with a decreased risk of CVD and mortality.

Indexed as

Cardiovascular DiseasesRenal Insufficiency, ChronicAdultAgedBlood GlucoseFemaleGlomerular Filtration RateGlucoseHumansInsulin ResistanceMaleMiddle AgedProspective StudiesRisk FactorsUnited KingdomBlood GlucoseGlucoseCardiovascular eventsChronic kidney diseaseEstimated glucose disposal rateMortality

Identifiers

PMID39334214
PMCPMC11438365

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.