Evidence map›Paper›PMID 23275937›Full record

ArticleDiabetes & metabolism journal2012

Chronic kidney disease and associated cardiovascular risk factors in chinese with type 2 diabetes.

Qing-Lin Lou, Xiao-Jun Ouyang, Liu-Bao Gu, Yong-Zhen Mo, Ronald Ma, Jennifer Nan, Alice Kong, Wing-Yee So, Gary Ko, Juliana Chan and 2 more

Open access · goldAbstract read
In one paragraph

Article in Diabetes & metabolism journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 35 citations in OpenAlex.

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  18. Diabetes and its comorbidities--where East meets West.Nature reviews. Endocrinology · 2013
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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

12 authors at 2 institutions in 1 country.

Qing-Lin LouDiabetes Care and Research Center, Jiangsu Province Institute of Geriatrics, Nanjing, China. ; Department of Endocrinology and Metabolism, Jiangsu Province Institute of Geriatrics, Nanjing, China.
Xiao-Jun Ouyang
Liu-Bao Gu
Yong-Zhen Mo
Ronald Ma
Jennifer Nan
Alice Kong
Wing-Yee So
Gary Ko
Juliana Chan
Chun-Chung Chow
Rong-Wen Bian
Chinese University of Hong Kong · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine the frequency of chronic kidney disease (CKD) and its associated risk factors in Chinese type 2 diabetic patients, we conducted a cross-sectional study in Nanjing, China, in the period between January 2008 and December 2009.

methodsPatients with type 2 diabetes under the care by Jiangsu Province Official Hospital, Nanjing, China were invited for assessment. CKD was defined as the presence of albuminuria or estimated glomerular filtration rate <60 mL/min/1.73 m(2). Albuminuria was defined as urinary albumin-to-creatinine ratio ≥30 mg/g.

resultsWe recruited 1,521 urban Chinese patients with type 2 diabetes (mean age, 63.9±12.0 years). The frequency of CKD and albuminuria was 31.0% and 28.9%, respectively. After adjusted by age and sex, hypertension, anemia and duration of diabetes were significantly associated with CKD with odds ratio (95% confidence interval) being 1.93 (1.28 to 2.93), 1.70 (1.09 to 2.64), and 1.03 (1.00 to 1.06), respectively.

conclusionIn conclusion, CKD was common in the urban Nanjing Chinese with type 2 diabetes. Strategies to prevent or delay progression of kidney disease in diabetes should be carried out at the early disease course of type 2 diabetes.

Indexed as

AlbuminuriaChronic kidney diseaseDiabetes mellitus, type 2Risk factors

Identifiers

PMID23275937
PMCPMC3530714
OpenAlexW1983518045

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.