Evidence mapPaperPMID 40947705Full record

ReviewCurrent pharmaceutical design2026

Unraveling the Complexity of Polycystic Ovary Syndrome: Biomarkers for Diagnosis, Prognosis, and Treatment.

Saloni Upadhyay, Avijit Mazumder, Saumya Das

Abstract readReview
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In one paragraph

Review in Current pharmaceutical design, 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

3 authors.

Saloni UpadhyayDepartment of Pharmacology, Noida Institute of Engineering and Technology (Pharmacy Institute), Knowledge Park-II, Greater Noida, 201306, Uttar Pradesh, India.
Avijit MazumderDepartment of Pharmacology, Noida Institute of Engineering and Technology (Pharmacy Institute), Knowledge Park-II, Greater Noida, 201306, Uttar Pradesh, India.ORCID 0000-0002-3053-8106
Saumya DasDepartment of Pharmacology, Noida Institute of Engineering and Technology (Pharmacy Institute), Knowledge Park-II, Greater Noida, 201306, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic ovary syndrome is distinguished by alterations in ovarian morphology, ovulatory failure, and increased androgen levels. The National Institutes of Health (NIH) defines it as ovulatory dysfunction accompanied by hyperandrogenism. Women with PCOS may have obesity, type 2 diabetes, anxiety, hypertension, insulin resistance, and pregnancy-related complications. PCOS is additionally linked with a greater chance of cardiovascular and metabolic disorders. Several factors, including LH/FSH ratio, FAI levels, and ovarian USG, should be considered when diagnosing PCOS. The Rotterdam criterion is employed to determine the condition when two of the three features are present and other etiologies are eliminated. Biomarkers have developed as a means of optimizing PCOS diagnosis and treatment results. This review has examined a number of biomarkers associated with PCOS, such as insulin, anti-Mullerian hormone, oxidative stress markers, inflammatory markers, and others. Controlling these disease-related markers may aid in lessening the symptoms of PCOS.

Indexed as

Polycystic Ovary SyndromeBiomarkersFemaleHumansPrognosisBiomarkersandrogenbiomarkerscardiovascularhyperandrogenisminsulin resistancePolycystic ovary syndrome (PCOS)

Identifiers

What Socratic 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 Socratic graph.