Evidence map›Paper›PMID 35035875›Full record

ArticleTherapeutic advances in endocrinology and metabolism2022

Lipid ratios and obesity indices are effective predictors of metabolic syndrome in women with polycystic ovary syndrome.

Małgorzata Kałużna, Magdalena Czlapka-Matyasik, Pola Kompf, Jerzy Moczko, Katarzyna Wachowiak-Ochmańska, Adam Janicki, Karolina Samarzewska, Marek Ruchała, Katarzyna Ziemnicka

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 4 pooled it
4.4field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 4 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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  13. MicroRNAs as Biomarkers for Metabolic Disorders in Polycystic Ovary Syndrome (PCOS): A Review.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Review
  14. Article
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  18. Association between insulin resistance and abnormal menstrual cycle in Saudi females with polycystic ovary syndrome.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
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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

9 authors at 3 institutions in 1 country.

Małgorzata KałużnaDepartment of Endocrinology, Metabolism and Internal Medicine, Poznan University of Medical Sciences, 49 Przybyszewskiego Street, 60-355 Poznan, Poland.ORCID https://orcid.org/0000-0002-2116-4384
Magdalena Czlapka-MatyasikDepartment of Human Nutrition and Dietetics, Poznan University of Life Sciences, Poznan, Poland.
Pola KompfDepartment of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, Poznan, Poland.
Jerzy MoczkoDepartment of Computer Science and Statistics, Poznan University of Medical Sciences, Poznan, Poland.
Katarzyna Wachowiak-OchmańskaHeliodor Świȩcicki Clinical Hospital, Poznan, Poland.
Adam JanickiHeliodor Świȩcicki Clinical Hospital, Poznan, Poland.
Karolina SamarzewskaDepartment of Clinical Auxiology and Pediatric Nursing, Poznan University of Medical Sciences, Poznan, Poland.
Marek RuchałaDepartment of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, Poznan, Poland.
Katarzyna ZiemnickaDepartment of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, Poznan, Poland.
Poznan University of Medical Sciences · PLHeliodor Swiecicki Clinical Hospital · PLUniversity of Life Sciences in Poznań · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin resistance (IR) is common in women with polycystic ovary syndrome (PCOS). Metabolic syndrome (MS) involves IR, arterial hypertension, dyslipidemia, and visceral fat accumulation. Therefore, fatness indices and blood lipid ratios can be considered as screening markers for MS. Our study aimed to evaluate the predictive potential of selected indirect metabolic risk parameters to identify MS in PCOS.

methodsThis cross-sectional study involved 596 women aged 18-40 years, including 404 PCOS patients diagnosed according to the Rotterdam criteria and 192 eumenorrheic controls (CON). Anthropometric and blood pressure measurements were taken, and blood samples were collected to assess glucose metabolism, lipid parameters, and selected hormone levels. Body mass index (BMI), waist-to-height ratio (WHtR), homeostasis model assessment for insulin resistance index (HOMA-IR), visceral adiposity index (VAI), lipid accumulation product (LAP), non-high-density lipoprotein cholesterol (non-HDL-C), and triglycerides-to-HDL cholesterol ratio (TG/HDL-C) were calculated. MS was assessed using the International Diabetes Federation (IDF) and the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) criteria.

resultsMS prevalence was significantly higher in PCOS

conclusionsLAP, TG/HDL-C, VAI, and WHtR are representative markers for MS assessment in PCOS. Their predictive power makes them excellent screening tools for internists and enables acquiring accurate diagnoses using fewer MS markers.

Indexed as

lipid accumulation product (LAP)metabolic syndrome (MS)polycystic ovary syndrome (PCOS)visceral adiposity index (VAI)waist-to-height ratio (WHtR)

Identifiers

PMID35035875
PMCPMC8755932
OpenAlexW4206551005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.