Evidence map›Paper›PMID 24124962›Full record

ArticleJournal of diabetes science and technology2013

Nocturnal continuous glucose and sleep stage data in adults with type 1 diabetes in real-world conditions.

Stephanie Feudjio Feupe, Patrick F Frias, Sara C Mednick, Elizabeth A McDevitt, Nathaniel D Heintzman

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Observational
  7. Review
  8. Type 1 Diabetes, Sleep, and Hypoglycemia.Current diabetes reports · 2021
    Review
  9. Article
  10. Sleep-wake characteristics, daytime sleepiness, and glycemia in young adults with type 1 diabetes.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
    Article
  11. Article
  12. Article
  13. Review
  14. Automated meal detection from continuous glucose monitor data through simulation and explanation.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Impact of Chronic Sleep Disturbance for People Living With T1 Diabetes.Journal of diabetes science and technology · 2016
    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

5 authors at 3 institutions in 1 country.

Stephanie Feudjio FeupeDepartment of Medicine, University of California, San Diego, 9500 Gilman Dr., MC 0436, La Jolla, CA 92093-0436.
Patrick F Frias
Sara C Mednick
Elizabeth A McDevitt
Nathaniel D Heintzman
University of California, Riverside · USUniversity of California, San Diego · USUniversity of Arizona · US

Funding

iDASH: Integrating Data for Analysis, Anonymization, and SharingU54HL108460 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2010 to 2015
$19.1M
San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
Understanding memory consolidation by studying pharmacologically enhanced napsK01MH080992 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MEDNICK, SARA CAROLE · 2007 to 2011
$807k
NHLBI NIH HHS U54 HL108460NHLBI NIH HHS U54HL¬108460NIMH NIH HHS K01MH080992NLM NIH HHS T15 LM011271NLM NIH HHS T15LM011271
6 · The paper itself

Abstract

backgroundSleep plays an important role in health, and poor sleep is associated with negative impacts on diabetes management, but few studies have objectively evaluated sleep in adults with type 1 diabetes mellitus (T1DM). Nocturnal glycemia and sleep characteristics in T1DM were evaluated using body-worn sensors in real-world conditions.

methodsAnalyses were performed on data collected by the Diabetes Management Integrated Technology Research Initiative pilot study of 17 T1DM subjects: 10 male, 7 female; age 19-61 years; T1DM duration 14.9 ± 11.0 years; hemoglobin A1c (HbA1c) 7.3% ± 1.3% (mean ± standard deviation). Each subject was equipped with a continuous glucose monitor and a wireless sleep monitor (WSM) for four nights. Sleep stages [rapid eye movement (REM), light, and deep sleep] were continuously recorded by the WSM. Nocturnal glycemia (mg/dl) was evaluated as hypoglycemia (<50 mg/dl), low (50-69 mg/dl), euglycemia (70-120 mg/dl), high (121-250 mg/dl), and hyperglycemia (>250 mg/dl) and by several indices of glycemic variability. Glycemia was analyzed within each sleep stage.

resultsSubjects slept 358 ± 48 min per night, with 85 ± 27 min in REM sleep, 207 ± 42 min in light sleep, and 66 ± 30 min in deep sleep (mean ± standard deviation). Increased time in deep sleep was associated with lower HbA1c (R2 = 0.42; F = 9.37; p < .01). Nocturnal glycemia varied widely between and within subjects. Glycemia during REM sleep was hypoglycemia 5.5% ± 18.1%, low 6.6% ± 18.5%, euglycemia 44.6% ± 39.5%, high 37.9% ± 39.7%, and hyperglycemia 5.5% ± 21.2%; glycemia during light sleep was hypoglycemia 4.8% ± 12.4%, low 7.3% ± 12.9%, euglycemia 42.1% ± 33.7%, high 39.2% ± 34.6%, and hyperglycemia 6.5% ± 20.5%; and glycemia during deep sleep was hypoglycemia 0.5% ± 2.2%, low 5.8% ± 14.3%, euglycemia 48.0% ± 37.5%, high 39.5% ± 37.6%, and hyperglycemia 6.2% ± 19.5%. Significantly less time was spent in the hypoglycemic range during deep sleep compared with light sleep (p = .02).

conclusionsIncreased time in deep sleep was associated with lower HbA1c, and less hypoglycemia occurred in deep sleep in T1DM, though this must be further evaluated in larger subsequent studies. Furthermore, the consumer-grade WSM device was useful for objectively studying sleep in a real-world setting.

Indexed as

AdultBlood GlucoseDiabetes Mellitus, Type 1FemaleHumansMaleMiddle AgedMonitoring, PhysiologicSleepYoung AdultBlood Glucose

Identifiers

PMID24124962
PMCPMC3876379
OpenAlexW2101165847

What OpenQuestion holds

Textmetadata
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.