Evidence map›Paper›PMID 35308325›Full record

ReviewInternational journal of reproductive biomedicine2022

Phytotherapy of polycystic ovary syndrome: A review.

Farahnaz Azin, Homayoun Khazali

Open access · goldAbstract readReview
In one paragraph

Review in International journal of reproductive biomedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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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

2 authors at 1 institution in 1 country.

Farahnaz AzinDepartment of Animal Science and Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.ORCID https://orcid.org/0000-0003-4661-6380
Homayoun KhazaliDepartment of Animal Science and Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.
Shahid Beheshti University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polycystic ovary syndrome (PCOS) is a complex heterogeneous disease with various symptoms, which can affect females of reproductive age. Endocrine and metabolic abnormalities such as infertility, being overweight or obese, type 2 diabetes, hyperandrogenism and increased luteinizing hormone (LH) are common in women with PCOS. Objective: This review aimed to assess the efficacy of non-chemical and herbal substances for PCOS recovery. Materials and Methods: The keywords "non-chemical treatment", "herbal treatment", "polycystic ovary syndrome" and "PCOS" were used to search for articles in the electronic databases PubMed/MEDLINE, Web of Science, Scopus, and Reaxys, published from January 2009 to December 2019. Results: 34 relevant studies were found and were briefly described in this review. The most effective herbal treatments in animal models of PCOS were used to restore abnormality in serum sex steroid profile, LH: follicle stimulating hormone ratio, steroidogenic enzymes, cardiovascular parameters, lipid profile, and glucose and estrous cycles. In PCOS patients, positive effects on PCOS due to reductions in testosterone, estrogen, LH, LH: follicle stimulating hormone ratio, and insulin levels were observed. Conclusion: The results of this reviewrevealed the variability and efficacy of phytotherapy and non-chemical treatments associated with PCOS disease. These findings may help future studies on the etiology and treatment of this syndrome.

Indexed as

Endocrine disordersPhytotherapy.Polycystic ovary syndrome

Identifiers

PMID35308325
PMCPMC8902792
OpenAlexW4214512612

What OpenQuestion holds

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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.