Evidence map›Paper›PMID 40739376›Full record

ArticleEndocrine2025

Metabolic phenotype in non-aldosterone producing adrenal adenomas with co-existent polycystic ovary syndrome: a joint Ens@t project.

Ariadni Spyroglou, Panagiota Konstantakou, Marianna Minnetti, Barbara Altieri, Elisabeth Nowak, Petros Papalexis, Anna Angelousi, Dimitra Vasiliadi, Otilia Kimpel, Djuro Macut and 10 more

Abstract readMulticenter Study
In one paragraph

Article in Endocrine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

20 authors.

Ariadni Spyroglou2nd Department of Surgery, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece.
Panagiota Konstantakou2nd Department of Surgery, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece.
Marianna MinnettiDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Barbara AltieriDivision of Endocrinology and Diabetes, Department of Medicine, University Hospital, University of Würzburg, Würzburg, Germany.
Elisabeth NowakDepartment of Medicine IV, LMU University Hospital, LMU Munich, Munich, Germany.
Petros PapalexisFirst Department of Internal Medicine, Unit of Endocrinology, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
Anna AngelousiFirst Department of Internal Medicine, Unit of Endocrinology, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
Dimitra VasiliadiDepartment of Endocrinology, Diabetes and Metabolism, European Reference Network on Rare Endocrine Conditions (ENDO-ERN), Evangelismos Hospital, Athens, Greece.
Otilia KimpelDivision of Endocrinology and Diabetes, Department of Medicine, University Hospital, University of Würzburg, Würzburg, Germany.
Djuro MacutClinic for Endocrinology, Diabetes and Metabolic Diseases University Clinical Centre of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Lorenzo TucciDivision of Endocrinology and Diabetes Prevention and Care, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Francesca DonnarummaDivision of Endocrinology and Diabetes Prevention and Care, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Guido Di DalmaziDivision of Endocrinology and Diabetes Prevention and Care, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Theodore PapaioannouDepartment of Biomedical Engineering, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Andrea IsidoriDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Martin ReinckeDepartment of Medicine IV, LMU University Hospital, LMU Munich, Munich, Germany.
Manousos Konstadoulakis2nd Department of Surgery, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece.
George Mastorakos2nd Department of Surgery, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece.
Gregory Kaltsas1st Propaedeutic Department of Internal Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Krystallenia I Alexandraki2nd Department of Surgery, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece. alexandrakik@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNon-aldosterone producing-adrenal-adenomas (NAPACAs) and polycystic ovary syndrome (PCOS) are associated with insulin-resistance (IR). Whether the co-existence of the two diseases leads to accentuated adverse metabolic profile remains unknown. Aim of this study is the assessment of cardiometabolic risk factors in women with NAPACAs with and without PCOS.

methodsWe conducted a retrospective multicenter study including adult premenopausal women categorized as NAPACA (n = 45), PCOS (=20) or NAPACA+PCOS (n = 24), excluding women with hormonally active adenomas, congenital-adrenal-hyperplasia, diabetes, systemic steroid medication or active malignancy.

resultsNAPACA patients were significantly older than the other two groups (P < 0.001). All groups did not differ in blood pressure, HbA1c, fasting plasma glucose (P > 0.05) or in body-mass-index (P = 0.06). NAPACA+PCOS patients displayed significantly increased insulin resistance (IR) (GIR:P < 0.05, HOMA: P < 0.05, QUICKI:P < 0.05, MATSUDA-index: P < 0.05). Cortisol levels upon 1-mg-dexamethasone-suppression-test (DST) did not differ among the groups; DHEA-S (P < 0.05) and testosterone (P < 0.01) were significantly higher in the two groups with PCOS patients. Free-androgen-index positively correlated with IR in NAPACA (GIR P < 0.01, HOMA P < 0.05, QUICKI P < 0.05) and PCOS (GIR P < 0.01, HOMA P < 0.01, QUICKI P < 0.01, MATSUDA P < 0.01), while 1mg-DST positively correlated with IR in NAPACA+PCOS (GIR P = 0.05, HOMA P < 0.05, QUICKI P < 0.05, MATSUDA P < 0.05). Younger age, higher IR and lower HDL levels predicted the PCOS presence in NAPACA patients whereas the multivariate analysis revealed age and HDL levels as the most important predictors of this association.

conclusionThese findings provide evidence for a distinct metabolic pattern in NAPACA+PCOS patients compared to NAPACA patients. Further prospective studies with larger patient cohorts will be necessary to elucidate this observation.

Indexed as

Adrenocortical AdenomaInsulin ResistancePolycystic Ovary SyndromeAdultFemaleHumansMiddle AgedPhenotypeRetrospective StudiesYoung AdultHyperandrogenemiaHypercortisolismInsulin resistanceNon-aldosterone producing adrenal adenomaPolycystic ovaries syndrome

Identifiers

PMID40739376
PMCPMC12572089

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