Evidence map›Paper›PMID 41163277›Full record

ReviewEndocrine, metabolic & immune disorders drug targets2026

Living with PCOS: A Narrative of its Biology, Diagnosis, and Evolving Treatment.

Samya Shams, Shagufta Jawaid, Nisha Rai, Kanishk Kala, Anjali Choudhary, Nauroz Neelofar, Firoz Anwar

Abstract readReview
In one paragraph

Review in Endocrine, metabolic & immune disorders drug targets, 2026. 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. 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

7 authors.

Samya ShamsDepartment of Pharmacy Practice, School of Pharmaceutical Sciences, Shri Guru Ram Rai University, Dehradun, Uttarakhand, India.
Shagufta JawaidDepartment of Pharmacy Practice, School of Pharmaceutical Sciences, Shri Guru Ram Rai University, Dehradun, Uttarakhand, India.
Nisha RaiDepartment of Pharmacy Practice, School of Pharmaceutical Sciences, Shri Guru Ram Rai University, Dehradun, Uttarakhand, India.
Kanishk KalaDepartment of Pharmacy Practice, School of Pharmaceutical Sciences, Shri Guru Ram Rai University, Dehradun, Uttarakhand, India.
Anjali ChoudharyDepartment of Obstetrics and Gynae, Shri Guru Ram Rai Institute of Medical and Health Sciences, Patel Nagar, Dehradun, Uttarakhand, India.
Nauroz NeelofarDepartment of Obstetrics and Gynae, Himalayan Institute of Medical Sciences, Swami Rama Himalayan University, Jollygrand, Dehradun, Uttarakhand, India.
Firoz AnwarDepartment of Biochemistry, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPolycystic ovary syndrome (PCOS) is a complex endocrine disorder characterized by hyperandrogenism, ovarian dysfunction, and metabolic abnormalities. It affects between 4% and 21% of females of fertile age. The present review provides a comprehensive analysis of PCOS, covering pathophysiology, diagnostic criteria, prevalence, biochemical markers, and demographic influences. It examines genetic, hormonal, and lifestyle variables, contributing to the conditions, highlighting ethnic disparities in prevalence.

methodsTo systematically analyse current data and refine evidence-based diagnosis and management guidelines, published in 2018, a global team was assembled. A systematic literature search was conducted across major academic databases, including PubMed, Scopus, Web of Science, and Google Scholar, to identify relevant studies on PCOS pathophysiology, diagnosis, and emerging therapies. Based on the global team's view, our generalised narrative review explores metabolic implications such as glucose intolerance, obesity, and type-2 diabetes, as well as hormonal imbalances involving androgens, luteinizing hormone, and prolactin.

resultsLifestyle factors, socioeconomic status, and ethnicity significantly influenced PCOS expression. Advancements in diagnosis, including AI-driven evaluation and precision medicine approaches, are discussed, alongside improvements in biochemical testing and treatment strategies. DISCUSSION: PCOS expression varies by lifestyle, ethnicity, and socioeconomic status. Emerging diagnostics like AI and precision medicine enhance detection, treatment, and understanding of its metabolic complexity.

conclusionThe review emphasizes the importance of personalized interventions and integrated healthcare approaches to enhance PCOS management and patient outcomes.

Indexed as

Polycystic Ovary SyndromeFemaleHumansLife StylePrecision MedicineRisk FactorsAI-driven evaluationemerging therapiesendocrine disorder (Hyperandrogenism)insulin resistancemetabolic syndromePolycystic ovary syndrome

Identifiers

PMID41163277
PMCPMC13598742

What OpenQuestion holds

Textmetadata
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.