Evidence map›Paper›PMID 33408492›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Discrimination of Chronic Kidney Disease and Diabetic Nephropathy and Analysis of Their Related Influencing Factors.

Xiumin Liu, Yinpei Guo, Jing Wu, Nan Yao, Han Wang, Bo Li

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 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
–field-weighted citation impact, top 78% 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, 3 citations in OpenAlex.

  1. Review
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

6 authors at 2 institutions in 1 country.

Xiumin LiuDepartment of Clinical Laboratory, The Second Affiliated Hospital of Jilin University, Changchun, People's Republic of China.
Yinpei GuoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, People's Republic of China.
Jing WuDepartment of Clinical Laboratory, The Second Affiliated Hospital of Jilin University, Changchun, People's Republic of China.
Nan YaoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, People's Republic of China.
Han WangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, People's Republic of China.
Bo LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, People's Republic of China.ORCID 0000-0003-1455-9596
Jilin University · CNSecond Affiliated Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeClinically there are not many clinical indicators to differentiate diabetic kidney disease (DKD) and chronic kidney disease (CKD). Data from laboratory inspections on admission of clinical patients were used to complete the relationship and discrimination analysis of the two diseases. PATIENTS AND

methodsAll subjects were taken from the Department of Nephrology of the Second Hospital of Jilin University from January 2019 to September 2020 with clinical diagnosis of CKD or diabetic nephropathy and no other diseases. After querying the hospital's medical record system, the basic demographic information was obtained, and data on cardiovascular, metabolism, renal function, blood function, and other relevant indicators were extracted as well. IBM SPSS 24.0 software was used for data collation and analysis.

resultsA total of 1726 inpatients (986 males and 740 females) over 18 years old were included, 1407 were CKD patients, 319 were DKD patients. Female accounted for 55.4% in CKD patients, 64.6% in DKD patients. Compared to men, women may be more susceptible to DKD (OR=2.234). DKD patients were more likely to be have higher DP, GLU, eGFR, TCHO, and abnormal TVU (OR=1.746, 3.404, 1.107, 3.004, 14.03) while VB

conclusionFemale, higher DP, fasting blood GLU and TCHO level seemed to be more indicative for DKD, while lower eGFR level and VB

Indexed as

chronic kidney diseasediabetic kidney diseasediscriminant analysismultivariate logistic regressionROC curve

Identifiers

PMID33408492
PMCPMC7779288
OpenAlexW3117260383

What OpenQuestion holds

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LicenceCC BY-NC
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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.