Evidence map›Paper›PMID 35258478›Full record

ArticleEndocrine connections2022

Can dysglycemia in OGTT be predicted by baseline parameters in patients with PCOS?

Sarantis Livadas, Christina Bothou, Justyna Kuliczkowska-Płaksej, Ralitsa Robeva, Andromahi Vryonidou, Jelica Bjekic Macut, Ioannis Androulakis, Milica Opalic, Zadalla Mouslech, Andrej Milewicz and 3 more

Abstract read
In one paragraph

Article in Endocrine connections, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

13 authors.

Sarantis LivadasEndocrine Unit, Athens Medical Centre, Athens, Greece.ORCID 0000-0001-9594-1521
Christina BothouDepartment of Endocrinology, Diabetology and Clinical Nutrition, University Hospital of Zurich, Zurich, Switzerland.
Justyna Kuliczkowska-PłaksejDepartment of Endocrinology, Diabetology and Isotope Therapy, University of Medicine, Wrocław, Poland.
Ralitsa RobevaUshate 'acad. IV. Penchev', Department of Endocrinology, Faculty of Medicine, Medical University-Sofia, Sofia, Bulgaria.
Andromahi VryonidouDepartment of Endocrinology and Diabetes, Hellenic Red Cross Hospital, Athens, Greece.
Jelica Bjekic MacutDepartment of Endocrinology, UMC Bežanijska Kosa, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Ioannis AndroulakisEndocrine Unit, Athens Medical Centre, Athens, Greece.
Milica OpalicClinic of Endocrinology, Diabetes and Metabolic Diseases, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Zadalla Mouslech1st Medical Propedeutic, Department of Internal Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Andrej MilewiczDepartment of Endocrinology, Diabetology and Isotope Therapy, University of Medicine, Wrocław, Poland.
Alessandra GambineriDepartment of Medical and Surgical Science-DIMEC Endocrinology Unit, University of Bologna - S. Orsola-Mapighi Hospital, Italy.
Dimitrios PanidisGynaecological Endocrinology Infirmary of the Second Department of Obstetrics and Gynaecology, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Djuro MacutClinic of Endocrinology, Diabetes and Metabolic Diseases, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polycystic ovary syndrome (PCOS) is considered a risk factor for the development of type 2 diabetes mellitus (T2DM). However, which is the most appropriate way to evaluate dysglycemia in women with PCOS and who are at increased risk are as yet unclear. Aim of the study: To determine the prevalence of T2DM, impaired glucose tolerance (IGT), and impaired fasting glucose (IFG) in PCOS women and potential factors to identify those at risk. Subjects and methods: The oral glucose tolerance test (OGTT), biochemical/hormonal profile, and ovarian ultrasound data from 1614 Caucasian women with PCOS and 362 controls were analyzed in this cross-sectional multicenter study. The data were categorized according to age and BMI. Results: Dysglycemia (T2DM, IGT, and IFG according to World Health Organization criteria) was more frequent in the PCOS group compared to controls: 2.2% vs 0.8%, P = 0.04; 9.5% vs 7.4%, P = 0.038; 14.2% vs 9.1%, P = 0.002, respectively. OGTT was essential for T2DM diagnosis, since in 88% of them basal glucose values were inconclusive for diagnosis. The presence of either T2DM or IFG was irrespective of age (P = 0.54) and BMI (P = 0.32), although the latter was associated with IGT (P = 0.021). There was no impact of age and BMI status on the prevalence of T2DM or IFG. Regression analysis revealed a role for age, BMI, fat deposition, androgens, and insulin resistance for dysglycemia. However, none of the factors prevailed as a useful marker employed in clinical practice. Conclusions: One-third of our cohort of PCOS women with either T2DM or IGT displayed normal fasting glucose values but without confirming any specific predictor for dysglycemic condition. Hence, the evaluation of glycemic status using OGTT in all women with PCOS is strongly supported.

Indexed as

ageandrogensdiabetesimpaired glucose toleranceinsulin resistancepolycystic ovary syndrome

Identifiers

PMID35258478
PMCPMC9066574

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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.