Evidence map›Paper›PMID 29155890›Full record

ArticlePloS one2017

Longitudinal fasting blood glucose patterns and arterial stiffness risk in a population without diabetes.

Yuntao Wu, Junxing Yu, Cheng Jin, Yun Li, Jinmei Su, Guoqing Wei, Xiaoming Zheng, Jingsheng Gao, Wenyuan Gao, Shouling Wu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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 3 institutions in 1 country.

Yuntao WuSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.
Junxing YuGraduate School, North China University of Science and Technology, Tangshan, China.
Cheng JinDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
Yun LiSchool of Public Health, North China University of Science and Technology, Tangshan, China.
Jinmei SuDepartment of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China.
Guoqing WeiDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
Xiaoming ZhengDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
Jingsheng GaoDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
Wenyuan GaoSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
North China University of Science and Technology · CNKailuan General Hospital · CNPeking Union Medical College Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify long-term fasting blood glucose trajectories and to assess the association between the trajectories and the risk of arterial stiffness in individuals without diabetes.

methodsWe enrolled 16,454 non-diabetic participants from Kailuan cohort. Fasting blood glucose concentrations were measured in 2006, 2008, and 2010 survey. Brachial-ankle pulse wave velocities were measured during 2011 to 2016. Multivariate regression model was used to estimate the difference of brachial-ankle pulse wave velocity levels and logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (95%CIs) of arterial stiffness risk, according to the fasting blood glucose trajectories.

resultsWe identified five distinct fasting blood glucose trajectories and each of the trajectories was labeled according to its range and change over 2006-2010 survey: elevated-stable pattern (5.0% of participants), elevated-decreasing pattern (6.6%), moderate-increasing pattern (10.9%), moderate-stable pattern (59.3%), and low-stable pattern (18.2%). After adjustment for potential confounders, individuals with elevated-stable pattern had a 42.6 cm/s (95%CI: 24.7 to 60.6 cm/s) higher brachial-ankle pulse wave velocity level and a 37% (OR 1.37, 95%CI: 1.14 to 1.66) higher arterial stiffness risk, and individuals with moderate-increasing pattern had a 19.6 cm/s (95%CI: 6.9 to 32.3 cm/s) higher brachial-ankle pulse wave velocity level and a 17% (OR 1.17, 95%CI: 1.03 to 1.33) higher arterial stiffness risk, related to individuals with moderate-stable pattern. We did not find significant associations of the elevated-decreasing or low-stable patterns with arterial stiffness. Consistently, the cumulative average, variability, and increased rate of fasting blood glucose during 2006-2010 survey were significantly associated with the arterial stiffness risk.

conclusionDiscrete fasting blood glucose trajectories were associated with the arterial stiffness risk in non-diabetic individuals.

Indexed as

Vascular StiffnessAdultAnkle Brachial IndexBlood GlucoseBlood PressureDiabetes MellitusFastingFemaleHumansLogistic ModelsLongitudinal StudiesMaleMiddle AgedOdds RatioPulse Wave AnalysisRisk FactorsBlood Glucose

Identifiers

PMID29155890
PMCPMC5695806
OpenAlexW2768554930

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.