Evidence map›Paper›PMID 33941037›Full record

ArticleRenal failure2021

The 100 top-cited articles in diabetic kidney disease: a bibliometric analysis.

Zineng Huang, Huifang Zhang, Ying Luo, Cong Wei, Yuee Zhao, Ying Huang, Lei Zhang, Wei Chen, Liyu He, Hong Liu and 3 more

Abstract read
In one paragraph

Article in Renal failure, 2021. 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
–field-weighted citation impact
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.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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.

Zineng HuangDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Huifang ZhangDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Ying LuoDepartment of Nephrology, Zhuzhou Central Hospital, Zhuzhou, China.
Cong WeiDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Yuee ZhaoDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Ying HuangDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Lei ZhangDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Wei ChenDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Liyu HeDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Hong LiuDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Lin SunDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Fuyou LiuDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.
Li XiaoDepartment of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTremendous scientific researches have been conducted in the field of diabetic kidney disease (DKD), while few bibliometric analyses have been performed. We aim to identify 100 top-cited published articles about DKD and analyze their main characteristics quantitatively.

methodsWeb of Science was searched with the term 'diabetic kidney disease' OR 'diabetic nephropathy' to identify the top 100 most cited articles. For articles meeting the predefined criteria, the following data were extracted and analyzed: citation ranking, publication year, publication journal, journal impact factor, country and institution, authors, study type, and keywords.

resultsThe highest number of citations was 4753 times. The median average citations per year was 21.8 (IQR, 16.6-33.0). Most articles focused on the pathogenesis and treatment. These articles were published in 25 different journals and the

conclusionsThis bibliometric analysis helps in identifying the milestones, inadequacies, classic hotspots, and emerging trends of DKD. Pathogenesis and treatment are core themes in DKD research, while high-quality articles on the prediction and biomarker are insufficient. New analyzing metrics are needed to assess the actual impact of these top-cited articles on clinical practice.

Indexed as

BibliometricsDiabetic NephropathiesBiomedical ResearchHumansPublicationsBibliometric analysiscitation analysisdiabetic kidney diseasetop cited

Identifiers

PMID33941037
PMCPMC8901283

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.