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PMOS Research Observatory

The State of PMOS Research

PMOS Atlas is an independent research observatory mapping 20,777 indexed publications on Polyendocrine Metabolic Ovarian Syndrome (PMOS), formerly known as Polycystic Ovary Syndrome (PCOS), from 2015 to 2025.

It captures a field in transition, moving from PCOS terminology to PMOS, and provides a baseline of what is being studied, where research is happening, how often funding is acknowledged, and which gaps remain visible.

PMOS affects an estimated 8 to 13% of women of reproductive age worldwide, yet many remain undiagnosed or receive fragmented care. WHO, 2023 ↗

20,777
Indexed publications
2015 to 2025
Research window
152
Author-affiliation countries
6,844
Research institutions

39 ahead-of-print articles from 2026 are indexed but excluded from all charts

The shape of the field

Five countries account for more than half of indexed publications, and only a small share of papers involve cross-border collaboration. Some topics, especially mental health, appear less connected to the rest of the research landscape.

Top Research Topics

Endocrinology & Hormones5,391
Metabolic Health4,207
Fertility & Reproduction2,745
Epidemiology & Public Health1,630
Pharmacology & Treatment1,124
View all 15 categories →

Top Countries by Output

China3,804
United States2,438
India1,752
Iran1,196
Turkey924
Explore by geography →

Most isolated topics

Share of each topic's papers that carry no other topic tag, i.e. studied on their own rather than alongside another field.

Mental Health & Psychology22.5%
Diagnostics & Phenotyping11.9%
Dermatology & Aesthetics8.3%
86%
Multi-topic papers
7.6k
Largest crossover pair
Metabolic + Endocrinology
22/105
Heavily-studied topic pairs
≥500 papers each, of 105 possible pairs from 15 topics

Mental Health & Psychology research is twice as isolated as any other topic, rarely connecting with the rest of the field.

How concentrated is the field?

0100%0100%% of publications% of countries (top → bottom publications)
0.83
Geographic Gini index
52%
Top 5 country share
13.7%
Cross-border papers

Output is geographically concentrated; most PMOS research stays within national borders.

Conditions co-investigated with PMOS · Top 10

How often each condition is mentioned alongside PMOS in the literature, a map of what the field connects to clinically. This reflects co-mention, not whether the condition was the study's primary focus.

Metabolic
Mental health
Cancer
Other
Cardiovascular Disease
8794.2%
Type 2 Diabetes
8304%
Depression
6373.1%
Anxiety
5182.5%
Gestational Diabetes
3091.5%
Fatty Liver Disease (NAFLD)
2921.4%
Endometrial Cancer
2371.1%
Thyroid Disorders
2321.1%
Eating Disorders
1150.6%
Sleep Apnoea
1130.5%
Conditions co-mentioned with PMOS in article title or abstract. Shows research attention, not causation or prevalence. % = share of all PMOS articles (2015–2025).

How is it funded?

Three-quarters of PMOS papers acknowledge no funder. That figure is itself an undercount: many funded papers omit acknowledgements. Of those that do disclose, a handful of national agencies dominate, and the acknowledged-funded share has not kept pace with publication growth.

25.2%
25.2% of PMOS papers acknowledge funding

A share that has held flat for a decade despite a 3.5× rise in total publications. 192 funded papers in 2015, 688 in 2025.

56.9%
Funders appearing on a single article

1,422 of 2,499 funders back just one PMOS paper. The landscape is top-heavy: a few dominant agencies and thousands of one-shot contributions.

Funded % by Topic

Cell Biology & Animal Models
40.1%198 art.
Molecular Mechanisms
36.8%207 art.
Genetics & Genomics
35.9%344 art.
Gut Microbiome
30.6%62 art.
Inflammation & Oxidative Stress
30.3%114 art.
Epidemiology & Public Health
26.6%433 art.
Metabolic Health
26.3%1,108 art.
Endocrinology & Hormones
24.9%1,343 art.
Fertility & Reproduction
23.3%640 art.
Pharmacology & Treatment
22.6%254 art.
Lifestyle & Exercise
20.5%51 art.
Nutrition & Diet
19.7%126 art.
Diagnostics & Phenotyping
18.1%198 art.
Mental Health & Psychology
16.5%169 art.
Dermatology & Aesthetics
6.4%8 art.
Root Cause
Symptom Specific
Bridging

Most-Acknowledged Funders · By Distinct Article Count

National Natural Science Foundation of China· China
National Natural Science Foundation of China, China
1,194
National Institutes of Health· United States
National Institutes of Health, United States
627
National Key Research and Development Program of China· China
National Key Research and Development Program of China, China
239
Medical Research Council· United Kingdom
Medical Research Council, United Kingdom
213
National Health and Medical Research Council· Australia
National Health and Medical Research Council, Australia
172
Novo Nordisk· Denmark
Novo Nordisk, Denmark
158
Indian Council of Medical Research· India
Indian Council of Medical Research, India
94
Conselho Nacional de Desenvolvimento Científico e Tecnológico· Brazil
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil
77
Instituto de Salud Carlos III· Spain
Instituto de Salud Carlos III, Spain
61
National Institute for Health and Care Research· United Kingdom
National Institute for Health and Care Research, United Kingdom
57
Natural Science Foundation of Shandong Province· China
Natural Science Foundation of Shandong Province, China
56
Tehran University of Medical Sciences and Health Services· Iran
Tehran University of Medical Sciences and Health Services, Iran
55
Counts are distinct papers acknowledging each funder, not amounts spent. Bar lengths are log-scaled; see Methodology → Funding for source coverage and name-normalisation notes.

Funding Trend · 2015 to 2025

Total publications(left axis)
Funded %(right axis)

What kind of research is it?

Much of PMOS research focuses on specific symptoms or clinical domains. That specialisation is necessary, but only around 30% of indexed publications focus on underlying mechanisms. Fast-growing areas such as microbiome, molecular mechanisms and animal models may help connect symptoms back to root causes.

Research Approach · Underlying Mechanisms vs Symptom Specific

48.9%
Symptom specific. Focuses on one symptom within a specialist domain.
30.3%
Underlying mechanisms. Investigates why PMOS happens.
20.8%
Bridging. Diagnostics, treatment, epidemiology and models.
Symptom Specific(fertility, dermatology, mental health, hormones, diet, exercise)
Bridging(diagnostics, treatment, epidemiology, animal models)
Underlying Mechanisms(genetics, mechanisms, microbiome, inflammation, metabolic)

Inner ring = the 3 research-approach buckets. Outer ring = the 15 topics, each sized by article count and grouped under its bucket. Hover any segment for details.

Topic Momentum · Share Change 2015–17 → 2023–25

Gut Microbiomenow 1.1% of field
+129%
Cell Biology & Animal Modelsnow 2.6% of field
+89%
Molecular Mechanismsnow 3.2% of field
+86%
Lifestyle & Exercisenow 1.4% of field
+55%
Diagnostics & Phenotypingnow 6.4% of field
+50%
Epidemiology & Public Healthnow 8.9% of field
+50%
Inflammation & Oxidative Stressnow 2.1% of field
+41%
Mental Health & Psychologynow 5.6% of field
+38%
Genetics & Genomicsnow 5.0% of field
+29%
Nutrition & Dietnow 3.4% of field
+27%
Pharmacology & Treatmentnow 5.4% of field
+6%
Fertility & Reproductionnow 12.4% of field
-11%
Endocrinology & Hormonesnow 23.7% of field
-21%
Metabolic Healthnow 18.2% of field
-22%
Dermatology & Aestheticsnow 0.5% of field
-24%

Evidence Pyramid · Study Type Distribution

Meta-Analysis
5155.8%
Systematic Review
1711.9%
Randomized Controlled Trial
3694.2%
Clinical Trial
760.9%
Observational / Comparative
2242.5%
Case Reports
1051.2%
Review
1,14112.9%
Primary Research (unspecified design)
5,91866.7%
Comment / Editorial / Letter
3594%
Based on PubMed study-type labels, which cover 43.1% of articles (8,878 of 20,582 non-retracted). Each article is counted once, under its strongest design. How this is built.

Where burden outpaces research

Research attention is unevenly distributed relative to estimated disease burden. This map highlights where the gap appears widest, and where PMOS research may not yet reflect the scale of need.

Research vs Disease Burden

High income
Upper-middle income
Lower-middle income
Low income

Largest research gaps

1Japan
+0.87
2Thailand
+0.76
3Mexico
+0.74
4Malaysia
+0.65
5Ecuador
+0.63
6Indonesia
+0.47
7Singapore
+0.42
8Italy
+0.40
9France
+0.37
10Vietnam
+0.37

Gap score = disease burden percentile minus research intensity percentile. Bar colour follows the income group legend above.

How to read this chart
Position X axis = research output per million reproductive-age women (log scale, 2019–2025). Y axis = GBD 2021 recorded disease burden. Countries in the top-left produced little research relative to their recorded burden.
Colour World Bank FY2022 income group (see legend). The clustering by colour shows whether research gaps follow a wealth gradient.

Read lower-income countries with caution. Recorded DALY rates reflect diagnostic capacity as much as true prevalence. Countries with weaker health systems detect and code fewer diagnoses, so a low Y position often signals invisible burden rather than absent burden.

Burden is understated globally. GBD models PMOS burden through disability only (no mortality component), and covers direct symptoms such as infertility and hormonal disability. Metabolic, cardiovascular, and mental health consequences are attributed to those GBD categories, not back to PMOS, so the Y axis underestimates true burden for every country shown.

Disease burden: GBD 2021 (IHME) via Yao et al., PLOS ONE 2025. Countries with ≥20 publications 2019–2025. Income groups: World Bank FY2022.

About the data

Name update (2026): This condition was officially renamed from Polycystic Ovary Syndrome (PCOS) to Polyendocrine Metabolic Ovarian Syndrome (PMOS) following an international consensus published in The Lancet ↗. All 20,777 articles in this database (20152025) use PCOS terminology. New literature will gradually adopt PMOS.
OpenAlexBackbone

Full metadata, abstracts, and concepts. 2015–2025 coverage.

PubMedBiomedical recall

NCBI Entrez esummary. Adds articles missing from OpenAlex. 9,999 merged by DOI.

ClassificationProvisional

3-tier pipeline (concepts → keywords → Claude Haiku). 99.99% coverage.

Counting methodMethodology

Each article splits equally across its topics, so totals sum to article count, not tag count.

Known limitations (7)
  • Coverage, language and scope. English search terms under-index non-English and regional journals. Social science and qualitative research on PMOS sits largely out of frame.
  • Country reflects author affiliation, not where patients or data come from.
  • Topics and research approach are modelled. The underlying mechanisms / symptom / bridging split is an interpretive mapping, not ground truth.
  • Funding is undercounted and unpriced. Acknowledgement varies by journal and sector; no monetary amounts are available.
  • Disease burden is understated. GBD 2021 omits metabolic, cardiovascular, and mental health consequences of PMOS.
  • Comorbidities are co-mentions, not confirmed comorbidities or primary study focus.
  • The data is a snapshot. One-time extract, English language only; not continuously updated.
Read the full methodology →
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Explore by Topic × Geography

Filter by topic, year, country, and study type. Country × topic heatmap, trend lines, top journals and institutions, and the underlying studies.