Evidence map›Paper›PMID 42270098›Full record

ArticleBMJ open2026

Prevalence and clinical correlates of metabolic syndrome among women with polycystic ovary syndrome in Western Algeria: a cross-sectional study.

Amira Messaoud, Soumia Zeggai, Khalida Zemri, Anfal Belkacem, Siheme Ouali, Noria Harir, Meriem Rabia Zahzeh, Amine El-Mokhtar Drici, Chahinez Hadj Slimene, Feryel Senoussaoui and 2 more

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Amira MessaoudBiology Department, University of Djillali Liabes Sidi Bel Abbes, Sidi Bel Abbes, Algeria amiramessoud08@gmail.com.ORCID http://orcid.org/0009-0003-6220-0614
Soumia ZeggaiLaboratory of Molecular Microbiology, Proteomics and Health, University of Djillali Liabes Sidi Bel Abbes, Sidi Bel Abbes, Algeria.ORCID http://orcid.org/0000-0003-2755-0873
Khalida ZemriBiology Department, University of Djillali Liabes Sidi Bel Abbes, Sidi Bel Abbes, Algeria.ORCID http://orcid.org/0000-0002-5239-5046
Anfal BelkacemBiology Department, University of Djillali Liabes Sidi Bel Abbes, Sidi Bel Abbes, Algeria.ORCID http://orcid.org/0000-0001-5927-3853
Siheme OualiBiology Department, University of Djillali Liabes Sidi Bel Abbes, Sidi Bel Abbes, Algeria.ORCID http://orcid.org/0000-0002-1767-3397
Noria HarirBiology Department, University of Djillali Liabes Sidi Bel Abbes, Sidi Bel Abbes, Algeria.ORCID http://orcid.org/0000-0002-5221-2705
Meriem Rabia ZahzehBiology Department, University of Djillali Liabes Sidi Bel Abbes, Sidi Bel Abbes, Algeria.ORCID http://orcid.org/0000-0001-6655-0548
Amine El-Mokhtar DriciBiology Department, University of Djillali Liabes Sidi Bel Abbes, Sidi Bel Abbes, Algeria.ORCID http://orcid.org/0000-0002-8393-8138
Chahinez Hadj SlimeneEl Assrar Clinic, Medically Assisted Procreation, Oran, Algeria.ORCID http://orcid.org/0009-0005-0725-9730
Feryel SenoussaouiAl Anis Clinic, Medically Assisted Procreation, Oran, Algeria.ORCID http://orcid.org/0009-0005-1578-8325
Amina BenmessaoudBiology Department, University of Djillali Liabes Sidi Bel Abbes, Sidi Bel Abbes, Algeria.ORCID http://orcid.org/0009-0000-7264-1155
Wassila Nesrine ElmezouarBiology Department, University of Djillali Liabes Sidi Bel Abbes, Sidi Bel Abbes, Algeria.ORCID http://orcid.org/0009-0005-2268-2799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to evaluate the prevalence and metabolic, hormonal and clinical characteristics of metabolic syndrome among women with polycystic ovary syndrome (PCOS) in the Oran region (western Algeria).

designCross-sectional study.

settingOutpatient endocrinology and gynaecology services in the Oran region, western Algeria.

participantsA total of 313 women aged 16-45 years diagnosed with PCOS according to the Rotterdam 2004 criteria. MAIN OUTCOMES: Prevalence of metabolic syndrome and differences in anthropometric (body mass index (BMI)), metabolic (fasting glucose and lipid profile), hormonal (gonadotropins, androgens, anti-Müllerian hormone (AMH), progesterone, vitamin D) and clinical features (hyperandrogenism, menstrual irregularity, infertility) between women with and without metabolic syndrome.

resultsOf the 313 participants, 181 (57.9%) met the criteria for metabolic syndrome. These women had significantly higher BMI (26.70±5.93 vs 25.06±6.47 kg/m²; p=0.004), elevated fasting glucose (133.43±28.52 vs 105.41±28.54 mg/dL; p<0.0001) and triglycerides (p<0.0001), but lower high-density lipoprotein (HDL)-C (p<0.0001). They also exhibited elevated luteinising hormone (LH), LH/follicle-stimulating hormone ratio, total testosterone and AMH levels, and reduced progesterone and vitamin D concentrations (all p<0.0001). Clinical hyperandrogenism, menstrual irregularity and secondary infertility were significantly more prevalent in this group.

conclusionMore than half of women with PCOS exhibited metabolic syndrome, characterised by obesity, dyslipidaemia, insulin resistance and vitamin D deficiency. These findings highlight the need for early metabolic screening and holistic management in women with PCOS to reduce long-term cardiovascular and reproductive risks.

Indexed as

Metabolic SyndromePolycystic Ovary SyndromeAdolescentAdultAlgeriaAnti-Mullerian HormoneBlood GlucoseBody Mass IndexCross-Sectional StudiesFemaleHumansHyperandrogenismMenstruation DisturbancesMiddle AgedPrevalenceTriglyceridesAnti-Mullerian HormoneBlood GlucoseTriglyceridesVitamin DBiochemistryEPIDEMIOLOGYGYNAECOLOGY

Identifiers

PMID42270098
PMCPMC13264898

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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 OpenQuestion graph.