Evidence map›Paper›PMID 39302870›Full record

ReviewProblemy endokrinologii2024

[Polycystic ovary syndrome: new and promising treatment methods].

D M Gasieva, E V Sheremetyeva, M F Kalashnikova, F Kh Dzgoeva, E T Alborova

Abstract readReviewEnglish Abstract
In one paragraph

Review in Problemy endokrinologii, 2024. 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. Review
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

5 authors.

D M GasievaEndocrinology Research Centre.
E V SheremetyevaEndocrinology Research Centre.
M F KalashnikovaN.V. Sklifosovskiy Institute of Clinical Medicine.
F Kh DzgoevaEndocrinology Research Centre.
E T AlborovaEndocrinology Research Centre.

Funding

Non-US Government Research Support type
6 · The paper itself

Abstract

Polycystic Ovary Syndrome (PCOS) - is a polygenic endocrine disorder caused by genetic, hormonal, and epigenetic factors. The importance of addressing PCOS lies in its prevalence, affecting approximately 10 to 13% of women, as well as the associated health conditions that can have a negative impact on women's lives, including infertility, dermatological manifestations of hyperandrogenism (such as hirsutism and acne), cardiovascular pathologies, metabolic disorders, and psychoemotional disorders. Currently, many theories of the development of this disease have been proposed, and as a consequence of methods of influencing and treating it. According to the clinical recommendations of the Ministry of Health of the Russian Federation, modifying the patient's lifestyle forms the basis of comprehensive therapy. We have analyzed about 60 articles on various dietary approaches to the treatment of PCOS, sourced from PubMed, Nature Reviews, Oxford Academic, Clinical Nutrition, EJOG, ScienceDirect, and MDPI. The Mediterranean diet, the DASH diet, the ketogenic diet and the low-carb diet have proven themselves the best. Also, it's necessary to add vitamin D, E, folic acid, calcium, various pro- and prebiotics to a woman's diet. Currently, the use of inositol and GPP-1 is becoming a promising method of PCOS therapy. According to the results of the analysis, a positive effect of diet therapy on the anthropometric and biochemical parameters was noted. Based on the analysis, a positive effect of diet therapy on anthropometric and biochemical parameters has been observed. It is crucial to consider the individual characteristics of each patient and not rely solely on drug therapy when approaching the treatment of PCOS.

Indexed as

Polycystic Ovary SyndromeFemaleHumans

Identifiers

PMID39302870
PMCPMC11551798

What Socratic 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 Socratic graph.