Evidence map›Paper›PMID 33118520›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2020

[Correlation of type 2 diabetes and impaired glucose regulation with chronic kidney disease in middle-aged and elderly individuals].

Qiangmei Wang, Jieyu Zhen, Conghui Guan, Nan Zhao, Jinjin Liu, Hongli Li, Songbo Fu, Xulei Tang, Yanping Han, Shan Su and 3 more

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

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

13 authors at 1 institution in 1 country.

Qiangmei WangFirst College of Clinical Medicine, Lanzhou University, Gansu Provincial People's Hospital, Lanzhou 730000, China.
Jieyu ZhenDepartment of Gynecology, Gansu Provincial People's Hospital, Lanzhou 730000, China.
Conghui GuanDepartment of Endocrinology, First Hospital of Lanzhou University, Gansu Provincial People's Hospital, Lanzhou 730000, China.
Nan ZhaoDepartment of Endocrinology, First Hospital of Lanzhou University, Gansu Provincial People's Hospital, Lanzhou 730000, China.
Jinjin LiuDepartment of Endocrinology, First Hospital of Lanzhou University, Gansu Provincial People's Hospital, Lanzhou 730000, China.
Hongli LiDepartment of Endocrinology, First Hospital of Lanzhou University, Gansu Provincial People's Hospital, Lanzhou 730000, China.
Songbo FuDepartment of Endocrinology, First Hospital of Lanzhou University, Gansu Provincial People's Hospital, Lanzhou 730000, China.
Xulei TangDepartment of Endocrinology, First Hospital of Lanzhou University, Gansu Provincial People's Hospital, Lanzhou 730000, China.
Yanping HanFirst College of Clinical Medicine, Lanzhou University, Gansu Provincial People's Hospital, Lanzhou 730000, China.
Shan SuFirst College of Clinical Medicine, Lanzhou University, Gansu Provincial People's Hospital, Lanzhou 730000, China.
Di ZhangDepartment of Endocrinology, First Hospital of Lanzhou University, Gansu Provincial People's Hospital, Lanzhou 730000, China.
Lijuan LiuFirst College of Clinical Medicine, Lanzhou University, Gansu Provincial People's Hospital, Lanzhou 730000, China.
Donghu ZhenDepartment of Endocrinology, First Hospital of Lanzhou University, Gansu Provincial People's Hospital, Lanzhou 730000, China.
Gansu Provincial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the correlation of different glucose metabolism statues with chronic kidney disease (CKD) in middle-aged and elderly individuals in Lanzhou.

methodsBased on the baseline data of REACTION Study in Lanzhou area, we randomly sampled 10 038 residents aged 40-75 years in 3 communities in Lanzhou, who were classified into normal glucose tolerance (NGT), impaired glucose regulation (IGR) and diabetes groups. The estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (ACR) were used to assess the renal function and albuminuria, respectively. Binary logistic regression was performed to analyze the contribution of the risk factors to CKD. Polynominal regression was used to determine the trends of eGFR with the increment of ACR.

resultsAmong all the participants, the prevalences of albuminuria, CKD and renal insufficiency (RI) were 26.2%, 27.4% and 2.5%, respectively. The prevalence of albuminuria, CKD and RI were significantly higher in the diabetes group than in IGR and NGT groups (

conclusionsDiabetes mellitus is a significant risk factor for albuminuria and RI, while IGR is not. Screening for albuminuria and eGFR is highly recommended for individuals with diabetes, hypertension, and obesity, especially in women and the elderly population.

Indexed as

Diabetes Mellitus, Type 2Renal Insufficiency, ChronicAdultAgedAlbuminuriaFemaleGlomerular Filtration RateGlucoseHumansMiddle AgedPrevalenceRisk FactorsGlucosealbuminuriachronic kidney diseaseglucose metabolismmiddle-aged and elderly individuals

Identifiers

PMID33118520
PMCPMC7606229
OpenAlexW3097452985

What OpenQuestion holds

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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.