Unlocking the secrets of metabolic syndrome: retroperitoneal fat area as a novel predictor.

The study findings underscore the associations between anthropometric parameters, specifically RFA and MetS. RFA is a valuable tool for assessing metabolic risk, with implications for refining criteria for adrenalectomy in individuals with adrenal incidentalomas.

Authors

Osman Anıl Savaş (ORCID: https://orcid.org/0000-0002-9698-5080)
Yeşim Erbil (ORCID: https://orcid.org/0000-0001-8651-4130)

Institutions

Istinye University (TR)

Publication Details

Journal: PubMed
Published: 2024-09-01
DOI: https://doi.org/10.26355/eurrev_202409_36714
Citations: 1
Primary Topic: Liver Disease Diagnosis and Treatment
Type: article
Field-Weighted Citation Impact: 0.39

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article

Unlocking the secrets of metabolic syndrome: retroperitoneal fat area as a novel predictor.

Osman Anıl Savaş, Yeşim Erbil

Sep 1, 2024

1 citations

PubMed

Liver Disease Diagnosis and Treatment

0.39

article

Unlocking the secrets of metabolic syndrome: retroperitoneal fat area as a novel predictor.

Osman Anıl Savaş, Yeşim Erbil

September 1, 2024article en

1 citations

Abstract

PubMedVol. 28(17)

Istinye University (TR)

Openalex Percentile: Top 34%

Liver Disease Diagnosis and Treatment

0.39

DOI Source OpenAlex

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Unlocking the secrets of metabolic syndrome: retroperitoneal fat area as a novel predictor. — Osman Anıl Savaş, Yeşim Erbil · PubMed (2024) | TGRS Research Map | TGRS