Evidence map›Paper›PMID 39831099›Full record

ArticleJournal of human reproductive sciences

Diagnostic Utility of Various Hormones across Different Polycystic Ovary Syndrome Phenotypes: A Cross-sectional Study.

Padala Ravi Kumar, Radha Krishna Telagareddy, Deepak Kumar Dash, Debasish Patro

Abstract read
In one paragraph

Article in Journal of human reproductive sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Padala Ravi KumarDepartment of Endocrinology, M.K.C.G Medical College, Berhampur, Odisha, India.
Radha Krishna TelagareddyDepartment of Endocrinology, RK ENDOCARE, Rajahmundry, Andhra Pradesh, India.
Deepak Kumar DashDepartment of Endocrinology, M.K.C.G Medical College, Berhampur, Odisha, India.
Debasish PatroDepartment of Endocrinology, M.K.C.G Medical College, Berhampur, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polycystic ovary syndrome (PCOS) presents a complex diagnostic challenge due to its heterogeneous nature. Aim: This study aimed to examine the diagnostic utility of various hormones across different PCOS phenotypes. Settings and Design: This cross-sectional study was carried out in 187 newly diagnosed PCOS women (18-40 years) attending the outdoor clinics of the department of endocrinology and obstetrics and gynaecology of a tertiary care centre in India. Materials and Methods: One hundred and eighty-seven PCOS women based on revised Rotterdam 2003 criteria were recruited. Ninety-four age-matched healthy females were taken as controls. All PCOS women were categorised into four phenotypes (A, B, C and D) based on the National Institute of Health (2012) criteria. Detailed clinical examination and hormonal investigations including testosterone, androstenedione, dehydroepiandrosterone sulphate (DHEAS) and anti-Müllerian hormone (AMH) were performed. Statistical Analysis Used: The receiver operating characteristic curve (ROC) was generated to find the diagnostic utility of various hormones by using SPSS version 26.0 software. Results: The largest PCOS group was phenotype A (33.15%, Conclusion: AMH is a useful hormonal diagnostic marker for PCOS across all phenotypes.

Indexed as

Anti-Müllerian hormonepolycystic ovary syndrome phenotypestestosterone

Identifiers

PMID39831099
PMCPMC11741125

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