Evidence map›Paper›PMID 29465557›Full record

ArticleMedicine2018

Follow-up of blood glucose distribution characteristics in a health examination population in Chengdu from 2010 to 2016.

Yuting Wang, Wangdong Xu, Qiongying Zhang, Ting Bao, Hanwei Yang, Wenxia Huang, Huairong Tang

Abstract read
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Yuting WangDepartment of Human Resources, West China Hospital, Sichuan University, Chengdu Department of Evidence-based Medicine, School of Public Health, Southwest Medical University, Luzhou Department of Gastroenterology Health Management Center Department of Healthcare, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Wangdong Xu
Qiongying Zhang
Ting Bao
Hanwei Yang
Wenxia Huang
Huairong Tang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The worldwide prevalence and incidence of diabetes and obesity are increasing in pandemic proportions. Thus, regular health examination is an important way for early detection of diabetes and glucose intolerance. The present study aims to detect the blood glucose distribution characteristics of the participants in the Health Examination Center at West China Hospital, Sichuan University from 2010 to 2016.A prospective cohort included 9168 Chinese participants, aged 18 years or more, who had available information on fasting blood glucose concentrations at the start of the study (2010). Examination surveys were conducted every year from 2010 to 2016. Cases having serum level of fasting blood glucose between 2.2 and 6.1 mmol/L were considered as normality, while serum level of fasting blood glucose < 2.2 or higher than 6.2 mmol/L were considered as abnormality.The percentage of participants having normal level of glucose was gradually reduced both in males and females from 2010 to 2016, by which the percentage of males having normal level of glucose was significantly lower than that in females. Moreover, the mean level of glucose was significantly increased from 2010 to 2016 both in males and females overall, and the mean level of glucose was higher in males compared with that in females every year. Furthermore, we showed that the level of glucose was gradually increased year by year in each age group, and the level of glucose was higher in aged cases compared with the young population.The study population in the current study showed higher levels of glucose with ages increasing, and males indicated higher expression of glucose than that in females. Some preventive action may be adopted early and more attention can be paid to this health-examination population.

Indexed as

AdultAge DistributionBlood GlucoseChinaDiagnostic Tests, RoutineFastingFemaleFollow-Up StudiesHumansMaleMass ScreeningMiddle AgedPopulation HealthProspective StudiesSex DistributionBlood Glucose

Identifiers

PMID29465557
PMCPMC5841959

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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.