Evidence map›Paper›PMID 29245232›Full record

ArticleMedicine2017

Analysis of blood glucose distribution characteristics in a health examination population in Chengdu (2007-2015).

Wenxia Huang, Wangdong Xu, Ping Zhu, Hanwei Yang, Linchong Su, Huairong Tang, Yi Liu

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 7 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

7 authors at 1 institution in 1 country.

Wenxia HuangDepartment of Healthcare, West China Hospital, Sichuan University, Chengdu Department of Evidence-based Medicine, School of Public Health, Southwest Medical University, Luzhou Health Management Center, West China Hospital, Sichuan University, Chengdu, Sichuan Department of Epidemiology and Biostatistics, West China School of Public Health, Sichuan University, Chengdu Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Wangdong Xu
Ping Zhu
Hanwei Yang
Linchong Su
Huairong Tang
Yi Liu
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With socioeconomic growth and cultural changes in China, the level of blood glucose may have changed in recent years. This study aims to detect the blood glucose distribution characteristics with a large size of health examination population.A total of 641,311 cases (360,259 males and 281,052 females) more than 18 years old during 2007 to 2015 were recruited from the Health Examination Center at West China hospital, Sichuan University.The percentage of cases with abnormal glucose level and the mean level of glucose were significantly increased since 2007 to 2015 overall. The percentage of cases with abnormal glucose level in males was significantly higher than that in females every year, and the percentage of cases with abnormal glucose level in aged population was higher than the young population. In addition, the mean level of glucose was higher in aged population with normal level of glucose than the young population with normal level of glucose, and the mean level of glucose was higher in males with normal level of glucose than the females with normal level of glucose.The population showed an increased level of blood glucose. Some preventive action may be adopted early and more attention can be paid to them.

Indexed as

Population SurveillanceAdultAgedBlood GlucoseChinaFemaleHumansHyperglycemiaHypoglycemiaMaleMiddle AgedPrevalenceRisk FactorsBlood Glucose

Identifiers

PMID29245232
PMCPMC5728847
OpenAlexW2775167445

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.