Evidence map›Paper›PMID 35186833›Full record

ArticleFrontiers in public health2022

Bibliometric Analysis of Renal Fibrosis in Diabetic Kidney Disease From 1985 to 2020.

Yuqing Zhang, De Jin, Yingying Duan, Yuehong Zhang, Liyun Duan, Fengmei Lian, Xiaolin Tong

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
–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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

7 authors.

Yuqing ZhangEndocrinology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
De JinEndocrinology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yingying DuanEndocrinology Department, Guang'anmen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yuehong ZhangEndocrinology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Liyun DuanEndocrinology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Fengmei LianEndocrinology Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Xiaolin TongEndocrinology Department, Affiliated Hospital to Changchun University of Chinese Medicine, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic renal fibrosis (DRF) is an irreversible renal pathological change in the end-stage of diabetic kidney disease (DKD), which plays a significant role in the development and deterioration of the disease. However, data for bibliometric analysis of renal fibrosis in DKD is currently missing. This study aimed to provide a comprehensive and visualized view of DRF research and lay the foundation for further studies. MATERIALS AND

methodsFirstly, the data was collected from the Web of Science Core Collection (WoSCC) database. Secondly, the Web of Science analytic tool was performed to analyze publication years, authors, countries/regions, organizations, and citation frequency. Finally, CiteSpace was employed to construct a visualization bibliometric network to reveal the emerging trends and hotspots of DRF.

resultsA total of 3,821 publications from 1985 to 2020 were included in this study. The number of publications has maintained a growth trend since 2003. Cooper is the most prolific author in this field, and the

conclusionsThe present study analyzed the research hotspots, Frontiers, and development trend of DRF and have important implications for future research.

Indexed as

Diabetes MellitusDiabetic NephropathiesBibliometricsChinaDatabases, FactualFemaleFibrosisHumansMaleUnited StatesbibliometricsCiteSpacecluster analysisdiabetic kidney diseaserenal fibrosis

Identifiers

PMID35186833
PMCPMC8855938

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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.