Evidence map›Paper›PMID 32404104›Full record

ArticleCardiovascular diabetology2020

Association of sleep disturbance with risk of cardiovascular disease and all-cause mortality in patients with new-onset type 2 diabetes: data from the Korean NHIS-HEALS.

Young Choi, Jae Woo Choi

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05609890 (Effect of a Novel Formulation on Sleep Parameters Among People With Poor Sleep Quality), which is not on this map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
5.2field-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.

NCT05609890 nacompletednot on this mapstarted 2023, after this paper: background citation

Effect of a Novel Formulation on Sleep Parameters Among People With Poor Sleep Quality: A Randomized Controlled Trial

TypeinterventionalSponsorCarlos O MendivilRan2023 to 2023Enrolled58ConditionsSleep, Sleep Disorder, Insomnia, Quality of LifeArmsSupplement, Placebo
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Sleep experiences of parents of children 18 years or younger with sickle cell disease during the COVID-19 pandemic: a qualitative study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Article
  14. The incidence of heart attacks among young individuals in Mosul City.Journal of education and health promotion · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Effects of sleep deprivation on coronary heart disease.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2022
    Review
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

2 authors at 2 institutions in 1 country.

Young ChoiDepartment of Health Care Management, Catholic University of Pusan, 57 Oryundae-ro, Geumjeong-gu, Busan, South Korea.
Jae Woo ChoiCollege of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, Yonsei University, 162-1 Songdo-Dong, Yeonsu-Gu, Incheon, South Korea. jwchoi2695@hanmail.net.ORCID 0000-0002-7428-8858
Catholic University of Pusan · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep disturbance has been significantly associated with the incidence of cardiovascular disease (CVD) in the general population. However, despite the common prevalence of sleep disturbance in patients with type 2 diabetes, its relationship with the risk of CVD remains unclear. Here, we have examined the association of sleep disturbance with the incidence of all CVD and all-cause mortality in patients with newly-diagnosed type 2 diabetes.

methodsWe used the Korean National Health Insurance Service-Health Screening Cohort data and included 36,058 patients with new-onset type 2 diabetes aged ≥ 40 years between 2004 and 2007, along with follow-up examinations to 2013. We used the ICD-10 code to measure sleep disturbance as a primary diagnosis and the multivariable Cox proportional hazards regression models to estimate the adjusted hazard ratio (AHR) and 95% confidence interval (CI) of all CVD, coronary heart disease (CHD), stroke, and all-cause mortality.

resultsWe identified 6897 cases of all CVD (CHD, n = 4138; stroke, n = 2759) and 2890 events of all-cause mortality during a mean follow-up period of 7.0 years. Sleep disturbance was associated with an increased risk of All CVD (AHR, 1.24; 95% CI, 1.06-1.46), CHD events (AHR, 1.24; 95% CI, 1.00-1.53), and all-cause mortality (AHR, 1.47; 95% CI, 1.15-1.87) in patients with new-onset type 2 diabetes. Furthermore, women (AHR, 1.33; 95% CI, 1.06-1.67) and middle-aged adults (AHR, 1.29; 95% CI, 1.02-1.64) with sleep disturbance had a significantly increased risk of CVD than those without; contrarily, men (AHR, 1.45; 95% CI, 1.09-1.95) and older adults (AHR, 1.51; 95% CI, 1.15-1.99) with sleep disturbance were associated with a significantly increased risk of all-cause mortality than those without.

conclusionsOur findings suggest that sleep disturbance is significantly associated with an increased risk of CVD and all-cause mortality in patients with new-onset type 2 diabetes.

Indexed as

AdultAgedCardiovascular DiseasesDiabetes Mellitus, Type 2FemaleHumansIncidenceMaleMiddle AgedPrognosisRepublic of KoreaRisk AssessmentRisk FactorsSleep Wake DisordersTime FactorsCardiovascular diseaseCoronary heart diseaseMortalitySleep disturbanceStrokeType 2 diabetes

Identifiers

PMID32404104
PMCPMC7222449
OpenAlexW3026134308

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.