Evidence map›Paper›PMID 27423183›Full record

ReviewReproductive biology and endocrinology : RB&E2016

Genetic, hormonal and metabolic aspects of PCOS: an update.

V De Leo, M C Musacchio, V Cappelli, M G Massaro, G Morgante, F Petraglia

Abstract readReview
In one paragraph

Review in Reproductive biology and endocrinology : RB&E, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
187citing papers in PubMed, 11 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

187 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  20. Phenotype-Specific Association ofInternational journal of fertility & sterility · 2026
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127 more citing papers are in PubMed but not listed here.

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

6 authors.

V De LeoDepartment Molecular Medicine and Development, University of Siena, Policlinico Le Scotte, Viale Bracci, 53100, Siena, Italy. vincenzo.deleo@unisi.it.
M C MusacchioDepartment Molecular Medicine and Development, University of Siena, Policlinico Le Scotte, Viale Bracci, 53100, Siena, Italy.
V CappelliDepartment Molecular Medicine and Development, University of Siena, Policlinico Le Scotte, Viale Bracci, 53100, Siena, Italy.
M G MassaroDepartment Molecular Medicine and Development, University of Siena, Policlinico Le Scotte, Viale Bracci, 53100, Siena, Italy.
G MorganteDepartment Molecular Medicine and Development, University of Siena, Policlinico Le Scotte, Viale Bracci, 53100, Siena, Italy.
F PetragliaDepartment Molecular Medicine and Development, University of Siena, Policlinico Le Scotte, Viale Bracci, 53100, Siena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is a complex endocrine disorder affecting 5-10 % of women of reproductive age. It generally manifests with oligo/anovulatory cycles, hirsutism and polycystic ovaries, together with a considerable prevalence of insulin resistance. Although the aetiology of the syndrome is not completely understood yet, PCOS is considered a multifactorial disorder with various genetic, endocrine and environmental abnormalities. Moreover, PCOS patients have a higher risk of metabolic and cardiovascular diseases and their related morbidity, if compared to the general population.

Indexed as

AnimalsEpigenesis, GeneticFemaleGonadal Steroid HormonesHirsutismHumansHyperandrogenismInsulin ResistanceObesityPolycystic Ovary SyndromeGonadal Steroid HormonesGeneticHyperandrogenismInfertilityInsulin-resistanceMetforminMyo-inositolOral contraceptivesPCOS

Identifiers

PMID27423183
PMCPMC4947298

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.