Evidence map›Paper›PMID 38321350›Full record

Observational studyArchives of gynecology and obstetrics2024

The role of the visceral adiposity index in the assessment of metabolic syndrome of polycystic ovary syndrome patients: a new anthropometric index.

Ana Luiza L Rocha, Thais Baêta, Isabel R Nazareth, Julia M Costa, Julia D Caporalli, Maraisa A Oliveira, Marina G Couto, Rosana C Azevedo, Fábio V Comim, Flávia R Oliveira and 2 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Archives of gynecology and obstetrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
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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

12 authors at 1 institution in 1 country.

Ana Luiza L RochaDepartment of Obstetrics and Gynecology, Federal University of Minas Gerais, Belo Horizonte, Brazil. ana_lunardi@yahoo.com.br.ORCID 0000-0002-4717-9541
Thais BaêtaDepartment of Obstetrics and Gynecology, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Isabel R NazarethDepartment of Obstetrics and Gynecology, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Julia M CostaDepartment of Obstetrics and Gynecology, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Julia D CaporalliDepartment of Obstetrics and Gynecology, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Maraisa A OliveiraDepartment of Obstetrics and Gynecology, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Marina G CoutoDepartment of Obstetrics and Gynecology, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Rosana C AzevedoDepartment of Internal Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Fábio V ComimDepartment of Internal Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Flávia R OliveiraDepartment of Obstetrics and Gynecology, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Fernando M ReisDepartment of Obstetrics and Gynecology, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Ana L CândidoDepartment of Internal Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Universidade Federal de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePolycystic ovary syndrome (PCOS) is a common endocrine disorder often linked to metabolic syndrome (MS), raising the risk of cardiovascular disease and type II diabetes. Certain indicators, such as the lipid accumulation product (LAP) and homeostatic model assessment for insulin resistance (HOMA-IR), can predict MS in PCOS patients. This study aimed to assess the predictive power of the visceral adiposity index (VAI) in comparison to LAP and HOMA-IR as predictors of MS in PCOS patients.

methodsIn this cross-sectional observational study, data from 317 diagnosed PCOS women were analyzed. VAI, LAP, and HOMA-IR were computed as indexes. Participants were categorized into two groups for index accuracy comparison: PCOS patients with and without MS. The data were assessed using a ROC curve.

resultsAmong PCOS women with MS, 92.3% had abnormal VAI results, 94.5% had abnormal LAP results, and only 50.5% had abnormal HOMA-IR results. Conversely, the majority of PCOS women without MS had normal HOMA-IR (64.6%). When comparing these indexes using the ROC curve, VAI displayed the highest accuracy, followed by LAP and HOMA-IR.

conclusionThe VAI index proved to be a superior predictor of metabolic MS in PCOS women when compared to other indexes.

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceMetabolic SyndromePolycystic Ovary SyndromeAdiposityBody Mass IndexCross-Sectional StudiesFemaleHumansCardiovascular risksMetabolic Syndrome (MS)Polycystic ovary syndrome (PCOS)Type II diabetesVisceral adiposity index (VAI)

Identifiers

PMID38321350
OpenAlexW4391561142

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.