Evidence map›Paper›PMID 35936056›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2022

Metabolism Score for Visceral Fat (METS-VF): A New Predictive Surrogate for CKD Risk.

Ling Feng, Tong Chen, Xuan Wang, Chongxiang Xiong, Jianhui Chen, Shiquan Wu, Jing Ning, Hequn Zou

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 32 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Ling Feng *Department of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Tong Chen *Department of Nephrology, South China Hospital of Shenzhen University, Shenzhen, People's Republic of China.
Xuan WangDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Chongxiang XiongDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Jianhui ChenDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Shiquan WuDepartment of Nephrology, South China Hospital of Shenzhen University, Shenzhen, People's Republic of China.
Jing NingDepartment of Nephrology, South China Hospital of Shenzhen University, Shenzhen, People's Republic of China.ORCID 0000-0001-9739-6563
Hequn ZouDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Shenzhen University · CNThird Affiliated Hospital of Southern Medical University · CNGuangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Metabolic disorders are closely related to the occurrence and development of chronic kidney disease (CKD). We explored the prospective association between the Metabolic Score for Visceral Fat (METS-VF) and CKD in a 5-year follow-up study. Patients and Methods: In this cohort study, 631 adults not suffering from CKD from Wanzhai Town, in China in 2012 were included at baseline and followed up in 2017 and 2018. Multivariable logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between METS-VF and CKD risk. Area under the receiver operating characteristic curve (AUC) analyses were used to evaluate the ability of METS-VF, waist-to-height ratio (WhtR), visceral adiposity index (VAI), homeostatic model assessment of insulin resistance (HOMA-IR), body mass index (BMI) to predict CKD risk. Results: We identified 103 CKD cases during follow-up. After adjustment for confounding factors, comparing the lowest quartile of METS-VF, the OR (95% CI) of CKD risk in the highest quartile was 3.04 (1.39-6.64). The per Standard deviation (SD) increase in METS-VF was positively correlated with CKD risk. The AUC of METS-VF for predicting CKD risk was, in general, higher than that for WhtR, VAI, HOMA-IR, and BMI. Conclusion: METS-VF may be an indicator for predicting CKD risk.

Indexed as

CKDMETS-VFvisceral obesity

Identifiers

PMID35936056
PMCPMC9346409
OpenAlexW4288740971

What OpenQuestion holds

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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.