Evidence mapPaperPMID 39333998Full record

ArticleBMC endocrine disorders2024

Hyperandrogenism and anthropometric parameters in women with polycystic ovary syndrome.

Asieh Mansour, Maryam Noori, Monir Sadat Hakemi, Ziba Haghgooyan, Mohammad Reza Mohajeri-Tehrani, Maryam Mirahmad, Sayed Mahmoud Sajjadi-Jazi

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Effects of physical activity in women with polycystic ovary syndrome: a systematic review and meta-analysis.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2025
    Pooled it
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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

7 authors.

Asieh MansourEndocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Maryam NooriStudent Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Monir Sadat HakemiDepartment of Nephrology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Ziba HaghgooyanDepartment of Internal Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Reza Mohajeri-TehraniEndocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Maryam Mirahmad *Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran. mar.mirahmad@gmail.com.
Sayed Mahmoud Sajjadi-Jazi *Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran. mahmood.sajadi@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOne of the main features of polycystic ovary syndrome (PCOS) is increased adipose tissue, which can result in hormonal disturbances. In the present study, we aimed to investigate which indicator of obesity could better associate with hormonal disturbances in PCOS women.

methodsIn this cross-sectional analysis, women with PCOS were included according to the Rotterdam criteria. Fasting blood samples were analyzed for biochemical, metabolic, and hormonal parameters. Anthropometric measures comprised body composition indices (assessed by bioelectric impedance analysis [BIA]), waist circumference, body mass index (BMI), and waist-to-height ratio (WHtR). Linear regression modeling was used to assess the association between anthropometric indices and hormonal imbalance, adjusted for age, mensuration status, and the homeostasis model assessment-estimated insulin resistance (HOMA-IR). Receiver operating characteristics (ROC) curves were utilized to ascertain the sensitivity, specificity, and optimal cut-off points of various anthropometric indices in identifying hyperandrogenism.

resultsA total of 129 PCOS women with a median (interquartile range [IQR]) age of 32.0 (23.0-32.0) years and a median BMI of 26.3 (23.00-29.70) kg/m

conclusionsWHtR is related to hyperandrogenism in PCOS better than other anthropometric measures.

Indexed as

Body Mass IndexHyperandrogenismPolycystic Ovary SyndromeWaist CircumferenceAdultAnthropometryBody CompositionCross-Sectional StudiesFemaleHumansInsulin ResistanceObesityWaist-Height RatioYoung AdultAndrogensFat distributionObesityPolycystic ovary syndromeWaist-to-height ratio

Identifiers

PMID39333998
PMCPMC11438141

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.