Evidence map›Paper›PMID 36836149›Full record

ReviewJournal of clinical medicine2023

The Effect of Metabolic Syndrome and Its Individual Components on Renal Function: A Meta-Analysis.

Xu Li, Qichen Liang, Junfeng Zhong, Liangying Gan, Li Zuo

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Frontiers in genetics · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

5 authors.

Xu LiDepartment of Nephrology, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing 100044, China.ORCID 0000-0003-0908-0732
Qichen LiangDepartment of Nephrology, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing 100044, China.ORCID 0000-0001-7154-0635
Junfeng ZhongDepartment of Nephrology, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing 100044, China.
Liangying GanDepartment of Nephrology, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing 100044, China.
Li ZuoDepartment of Nephrology, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing 100044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObservational studies have reported inconsistent findings in the relationship between metabolic syndrome (MetS), its components, and loss of renal function, mainly including eGFR decline, new-onset CKD, and ESRD. This meta-analysis was performed to investigate their potential associations.

methodsPubMed and EMBASE were systematically searched from their inception to 21 July 2022. Observational cohort studies in English assessing the risk of renal dysfunction in individuals with MetS were identified. Risk estimates and their 95% confidence intervals (CIs) were extracted and pooled using the random-effects approach.

resultsA total of 32 studies with 413,621 participants were included in the meta-analysis. MetS contributed to higher risks of renal dysfunction (RR = 1.50, 95% CI = 1.39-1.61) and, specifically, rapid decline in eGFR (RR 1.31, 95% CI 1.13-1.51), new-onset CKD (RR 1.47, 95% CI 1.37-1.58), as well as ESRD (RR 1.55, 95% CI 1.08-2.22). Moreover, all individual components of MetS were significantly associated with renal dysfunction, while elevated BP conveyed the highest risk (RR = 1.37, 95% CI = 1.29-1.46), impaired fasting glucose with the lowest and diabetic-dependent risk (RR = 1.20, 95% CI = 1.09-1.33).

conclusionsIndividuals with MetS and its components are at higher risk of renal dysfunction.

Indexed as

chronic kidney diseasemeta-analysismetabolic syndromerenal function

Identifiers

PMID36836149
PMCPMC9962508

What Socratic holds

Textmetadata
LicenceCC BY
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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.