Evidence mapPaperPMID 39875694Full record

ReviewReproductive sciences (Thousand Oaks, Calif.)2025

Polycystic Ovarian Syndrome: A Review of Multi-omics Analyses.

Ilmas Naqvi, Anannya Bandyopadhyay, Amisha Panda, B Hareramadas

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In one paragraph

Review in Reproductive sciences (Thousand Oaks, Calif.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
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

4 authors.

Ilmas NaqviDepartment of Zoology, Zakir Husain Delhi College (University of Delhi), J.L.N. Marg, New Delhi, 110002, India.
Anannya BandyopadhyayLab. No. 115, Department of Zoology, University of Delhi, Delhi, 110007, India.ORCID 0009-0009-4049-9161
Amisha PandaLab. No. 115, Department of Zoology, University of Delhi, Delhi, 110007, India.
B HareramadasDepartment of Zoology, Zakir Husain Delhi College (University of Delhi), J.L.N. Marg, New Delhi, 110002, India. harib2k@zh.du.ac.in.ORCID 0000-0001-5284-1109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic Ovary Syndrome (PCOS) is among the most prevalent endocrinological abnormalities of young females, posing a grave public health challenge to the society. The objective of the present literature review is to analyze the enormous amount of information available by way of numerous multi-omic studies, and to explore a meaningful relationship between various factors such as genetic, proteomic, environmental etc. to understand the multifactorial metabolic disorder in a proper manner. Detailed literature search was done in various science article repositories and biomedical databases such as PubMed, Google Scholar, BioMed Central, Embase etc. by using several keywords in whole gamut of combinations. PCOS is a heritable disease. It manifests as a result of a combination of several intricately inter-linked symptoms such as anovulation, obesity, type II diabetes, hyperandrogenism, polycystic ovaries etc., the last one being the main manifestation of the disease, thus leading to infertility among several other complications. Such a multifactorial metabolic disorder with extreme symptomatic heterogeneity cannot be fully explained solely based on symptoms or genetic variations; thus, giving some space of thought to other factors such as epigenetic, microbiomic factors etc. playing a role in the causation of the disease. The present scientific survey of literature extensively reviews various aspects of PCOS by critically looking into the vast multi-omic data, and concluded with suggesting treatment options as well as lifestyle changes required to deal with the psychological/ emotional impacts of the condition on affected women.

Indexed as

MetabolomicsPolycystic Ovary SyndromeProteomicsFemaleHumansMultiomicsGenomicsMetabolomicsMicrobiomicsPCOSProteomicsTranscriptomics

Identifiers

What Socratic holds

Textmetadata
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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.