Evidence mapPaperPMID 41370421Full record

ReviewJBRA assisted reproduction2025

A review on herbal interventions and nanotechnological advancements for managing polycystic ovarian syndrome.

Khushi Sharma, Snigdha Bhardwaj, Kandasamy Nagarajan

Abstract readReview
In one paragraph

Review in JBRA assisted reproduction, 2025. 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

3 authors.

Khushi SharmaKIET School of Pharmacy, KIET Group of Institutions, Ghaziabad, Delhi-NCR, Uttar Pradesh, INDIA.
Snigdha BhardwajKIET School of Pharmacy, KIET Group of Institutions, Ghaziabad, Delhi-NCR, Uttar Pradesh, INDIA.
Kandasamy NagarajanKIET School of Pharmacy, KIET Group of Institutions, Ghaziabad, Delhi-NCR, Uttar Pradesh, INDIA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePolycystic ovarian syndrome (PCOS) is a condition caused by hormonal imbalance that can't be fully cured, but some symptoms can get better with changes in lifestyle, medications, and fertility treatments. This study aimed to evaluate the efficacy of herbal medicine on ovarian mass, weight, sex hormone disorders, and insulin resistance to treat PCOS. This disorder is mainly characterized by increased levels of androgens, acne, and hirsutism, and can lead to long-term insulin resistance, miscarriage, or even infertility in women. The present study reviews previous studies on the treatment of PCOS using natural drugs and nanotechnology used to treat PCOS.

methodsA literature search was conducted in the scientific database using the keywords "polycystic ovary syndrome, phytoconstituents, and herbals". This review includes a collection of reports from Science Direct, Scholar Google, and PubMed were searched up to 2024. The results were assessed, gathered, and reported in this paper. A total of 162 papers were included, with an exponential growth in the number of articles published from 1980 to 2024.

resultsWe discuss the significance of herbal remedies in treating PCOS, and the chemical composition, mechanism of action, and therapeutic application of selected herbal drugs against PCOS. These plant compounds can help PCOS patients by improving how their bodies process sugar and making them more sensitive to insulin.

conclusionsThe review suggested that future research should focus on integrating lifestyle modifications and natural therapies to enhance the quality of life for individuals at risk or suffering from PCOS.

Indexed as

NanotechnologyPhytotherapyPolycystic Ovary SyndromeFemaleHumanscausesherbalshormonal imbalancephysiologyphytoconstituentspolycystic ovary syndrome

Identifiers

PMID41370421
PMCPMC12694957

What Socratic holds

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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.