Evidence mapPaperPMID 35813613Full record

ReviewFrontiers in endocrinology2022

Metabolic Syndrome-Related Kidney Injury: A Review and Update.

Lirong Lin, Wei Tan, Xianfeng Pan, En Tian, Zhifeng Wu, Jurong Yang

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

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  18. Effect of Doum (Frontiers in nutrition · 2026
    Article
  19. Review
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24 more citing papers are in PubMed but not listed here.

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.

Lirong LinDepartment of Nephrology, The Third Affiliated Hospital of Chongqing Medical University (Gener Hospital), Chongqing, China.
Wei TanDepartment of Nephrology, The Third Affiliated Hospital of Chongqing Medical University (Gener Hospital), Chongqing, China.
Xianfeng PanDepartment of Nephrology, Chongqing Kaizhou District People's Hospital of Chongqing, Chongqing, China.
En TianDepartment of Nephrology, The Third Affiliated Hospital of Chongqing Medical University (Gener Hospital), Chongqing, China.
Zhifeng WuDepartment of Nephrology, The Third Affiliated Hospital of Chongqing Medical University (Gener Hospital), Chongqing, China.
Jurong YangDepartment of Nephrology, The Third Affiliated Hospital of Chongqing Medical University (Gener Hospital), Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic syndrome (MetS) includes visceral obesity, hyperglycemia, dyslipidemia, and hypertension. The prevalence of MetS is 20-25%, which is an important risk factor for chronic kidney disease (CKD). MetS causes effects on renal pathophysiology, including glomerular hyperfiltration, RAAS, microalbuminuria, profibrotic factors and podocyte injury. This review compares several criteria of MetS and analyzes their differences. MetS and the pathogenesis of CKD includes insulin resistance, obesity, dyslipidemia, inflammation, oxidative stress, and endothelial dysfunction. The intervention of MetS-related renal damage is the focus of this article and includes controlling body weight, hypertension, hyperglycemia, and hyperlipidemia, requiring all components to meet the criteria. In addition, interventions such as endoplasmic reticulum stress, oxidative stress, gut microbiota, body metabolism, appetite inhibition, podocyte apoptosis, and mesenchymal stem cells are reviewed.

Indexed as

HyperglycemiaHypertensionMetabolic SyndromeRenal Insufficiency, ChronicHumansKidneychronic kidney diseasediagnosismetabolic syndromepathological characteristicstherapeutics

Identifiers

PMID35813613
PMCPMC9261267

What Socratic 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 Socratic graph.