Evidence map›Paper›PMID 25969722›Full record

ArticleJournal of diabetes investigation2015

High-normal urinary albumin-to-creatinine ratio is independently associated with metabolic syndrome in Chinese patients with type 2 diabetes mellitus: A cross-sectional community-based study.

Mei-Fang Li, Qi-Ming Feng, Lian-Xi Li, Yin-Fang Tu, Rong Zhang, Xue-Hong Dong, Jun-Xi Lu, Yu-Qian Bao, Wei-Ping Jia, Ren-Ming Hu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes investigation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. 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 4 institutions in 1 country.

Mei-Fang LiDepartment of Emergency, Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai, China ; Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Key Laboratory of Diabetes Mellitus Shanghai, China.
Qi-Ming FengDepartment of Emergency, Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai, China.
Lian-Xi LiDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Key Laboratory of Diabetes Mellitus Shanghai, China.
Yin-Fang TuDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Key Laboratory of Diabetes Mellitus Shanghai, China.
Rong ZhangDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Key Laboratory of Diabetes Mellitus Shanghai, China.
Xue-Hong DongDepartment of Endocrinology and Metabolism, HuaShan Hospital, Institute of Endocrinology and Diabetology at Fudan University Shanghai, China.
Jun-Xi LuDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Key Laboratory of Diabetes Mellitus Shanghai, China.
Yu-Qian BaoDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Key Laboratory of Diabetes Mellitus Shanghai, China.
Wei-Ping JiaDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Diseases, Shanghai Key Laboratory of Diabetes Mellitus Shanghai, China.
Ren-Ming HuDepartment of Endocrinology and Metabolism, HuaShan Hospital, Institute of Endocrinology and Diabetology at Fudan University Shanghai, China.
Shanghai Jiao Tong University · CNShanghai Sixth People's Hospital · CNFudan University · CNHuashan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionMicroalbuminuria is positively related to metabolic syndrome (MetS). Our aim was to investigate whether urinary albumin-to-creatinine ratio (UACR) within the normal range is independently associated with MetS in Chinese community-based patients with type 2 diabetes. MATERIALS AND

methodsA total of 514 participants (206 males and 308 females; mean age 66 years) with UACR less than 3.5 mg/mmol were enrolled from two downtown areas of Shanghai. The participants were stratified into quartiles according to UACR levels. The prevalence of MetS was assessed and compared among the four groups by binary logistic regression.

resultsCompared with participants with UACRs in the first quartile, the other quartiles had a higher prevalence of MetS (65.9%, 74.4% and 81.3%, respectively, P = 0.001) after adjustment for sex and age. After adjusting for potential confounders, participants in the second to the fourth quartile group had a 1.36-, 1.84- and 2.73-fold risk of MetS, respectively, relative to those in the lowest quartile. Furthermore, UACR, whether as quartile groups or as a continuous variable, is an independent predictor of MetS after fully adjusting for other variables.

conclusionsThese results suggest that UACR even within the normal range is independently associated with MetS in Chinese community-based patients with type 2 diabetes mellitus.

Indexed as

Metabolic syndromeType 2 diabetes mellitusUrinary-to-albumin creatinine ratio

Identifiers

PMID25969722
PMCPMC4420569
OpenAlexW2029258790

What Socratic 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 Socratic graph.