Evidence map›Paper›PMID 31998805›Full record

ArticleJournal of diabetes research2020

A Novel Risk Score for Type 2 Diabetes Containing Sleep Duration: A 7-Year Prospective Cohort Study among Chinese Participants.

Xiangtong Liu, Zhiwei Li, Jingbo Zhang, Shuo Chen, Lixin Tao, Yanxia Luo, Xiaolin Xu, Jason Peter Fine, Xia Li, Xiuhua Guo

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

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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 3 countries.

Xiangtong Liu *School of Public Health, Capital Medical University, Beijing 100069, China.
Zhiwei Li *School of Public Health, Capital Medical University, Beijing 100069, China.
Jingbo ZhangBeijing Physical Examination Center, Beijing 100077, China.
Shuo ChenBeijing Physical Examination Center, Beijing 100077, China.
Lixin TaoSchool of Public Health, Capital Medical University, Beijing 100069, China.
Yanxia LuoSchool of Public Health, Capital Medical University, Beijing 100069, China.
Xiaolin XuThe University of Queensland, Brisbane, Australia.
Jason Peter FineUniversity of North Carolina, Chapel Hill 462001, USA.
Xia LiLa Trobe University, Melbourne, Australia.
Xiuhua GuoSchool of Public Health, Capital Medical University, Beijing 100069, China.ORCID https://orcid.org/0000-0001-6657-6940
Capital Medical University · CNLa Trobe University · AUThe University of Queensland · AUUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep duration is associated with type 2 diabetes (T2D). However, few T2D risk scores include sleep duration. We aimed to develop T2D scores containing sleep duration and to estimate the additive value of sleep duration.

methodsWe used data from 43,404 adults without T2D in the Beijing Health Management Cohort study. The participants were surveyed approximately every 2 years from 2007/2008 to 2014/2015. Sleep duration was calculated from the self-reported usual time of going to bed and waking up at baseline. Logistic regression was employed to construct the risk scores. Integrated discrimination improvement (IDI) and net reclassification improvement (NRI) were used to estimate the additional value of sleep duration.

resultsAfter a median follow-up of 6.8 years, we recorded 2623 (6.04%) new cases of T2D. Shorter (both 6-8 h/night and <6 h/night) sleep durations were associated with an increased risk of T2D (odds ratio (OR) = 1.43, 95% confidence interval (CI) = 1.30-1.59; OR = 1.98, 95%CI = 1.63-2.41, respectively) compared with a sleep duration of >8 h/night in the adjusted model. Seven variables, including age, education, waist-hip ratio, body mass index, parental history of diabetes, fasting plasma glucose, and sleep duration, were selected to form the comprehensive score; the

conclusionsThe performance of T2D risk scores developed in the study could be improved by containing the shorter estimated sleep duration, particularly in women and individuals older than 50.

Indexed as

AdultBody Mass IndexChinaDiabetes Mellitus, Type 2FemaleHumansIncidenceMaleMiddle AgedProspective StudiesRiskRisk AssessmentSleep

Identifiers

PMID31998805
PMCPMC6964717
OpenAlexW2996969158

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Registered trials

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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.