Evidence map›Paper›PMID 30271157›Full record

ArticleTherapeutics and clinical risk management2018

Association of different glucose traits with kidney function decline risk in a Chinese community-based population without chronic kidney disease.

Xingang Wang, Fangfang Fan, Jia Jia, Xin Xu, Xianhui Qin, Bo Zheng, Haixia Li, Liguang Dong, Shuyu Wang, Jianping Li and 3 more

Open access · goldAbstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2018. 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
0.2field-weighted citation impact, top 49% 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, 5 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

13 authors at 5 institutions in 1 country.

Xingang WangDepartment of Cardiology, Peking University First Hospital, Beijing, China, drzhy1108@163.com.
Fangfang FanDepartment of Cardiology, Peking University First Hospital, Beijing, China, drzhy1108@163.com.
Jia JiaDepartment of Cardiology, Peking University First Hospital, Beijing, China, drzhy1108@163.com.
Xin XuNational Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xianhui QinNational Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Bo ZhengDepartment of Cardiology, Peking University First Hospital, Beijing, China, drzhy1108@163.com.
Haixia LiClinical Laboratory, Peking University First Hospital, Beijing, China.
Liguang DongPeking University Shougang Hospital, Beijing, China.
Shuyu WangBeijing Hypertension League Institute, Beijing, China.
Jianping LiDepartment of Cardiology, Peking University First Hospital, Beijing, China, drzhy1108@163.com.
Yong HuoDepartment of Cardiology, Peking University First Hospital, Beijing, China, drzhy1108@163.com.
Jingtao DouDepartment of Endocrinology, Chinese PLA General Hospital, Beijing, China, jingtaodou@163.com.
Yan ZhangDepartment of Cardiology, Peking University First Hospital, Beijing, China, drzhy1108@163.com.
Peking University · CNChinese PLA General Hospital · CNNanfang Hospital · CNPeking University Shougang Hospital · CNShanghai Institute of Hypertension · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) has become a major issue worldwide and hyperglycemia is known as an important risk factor responsible for CKD progression. Few studies have investigated whether fasting plasma glucose (FPG) could predict kidney function decline (KFD) risk better than postprandial plasma glucose, and vice versa. In this study, we investigated the roles of FPG and 2-hour plasma glucose (2 h-PG) in predicting KFD risk in a Chinese community-based population without baseline deterioration of kidney functions.

methodsSubjects with normal kidney function from an atherosclerosis cohort in Beijing, China were followed up for 2.3 years. The outcome was KFD (a drop in glomerular filtration rate category accompanied by 25% or greater decline of estimated glomerular filtration rate from the baseline or a sustained decline of more than 5 mL/min/1.73 m

resultsA total of 3,738 subjects were included of which, 7.7% of the subjects suffered from KFD. After covariates adjustments, both FPG (OR =1.23,

conclusionFPG was superior to 2 h-PG in predicting KFD in a Chinese community-based population without CKD. FPG screening may be an important measure for CKD primary prevention even in subjects with impaired fasting glucose.

Indexed as

chronic kidney diseasefasting plasma glucosekidney function declinepostprandial plasma glucose

Identifiers

PMID30271157
PMCPMC6147541
OpenAlexW2891266158

What OpenQuestion holds

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LicenceCC BY-NC
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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.