Evidence map›Paper›PMID 42659541›Full record

ArticleEndocrinology, diabetes & metabolism2026

The Effect of Polycystic Ovarian Syndrome on Development of Diabetes Mellitus by a Multistate Modelling Approach.

Maryam Mousavi, Marzieh Saei Ghare Naz, Mahsa Noroozzadeh, Fereidoun Azizi, Fahimeh Ramezani Tehrani

Abstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism, 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

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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

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

5 authors.

Maryam MousaviReproductive Endocrinology Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-3946-2507
Marzieh Saei Ghare NazReproductive Endocrinology Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-1259-2459
Mahsa NoroozzadehReproductive Endocrinology Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Fereidoun AziziEndocrine Research Center, Research Institute for Endocrine Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-6470-2517
Fahimeh Ramezani TehraniReproductive Endocrinology Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-4621-7972

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWomen with polycystic ovary syndrome (PCOS) are more susceptible to metabolic dysfunction, especially glucose impairment. Previous studies have considered prediabetes (pre-DM) and diabetes mellitus (DM) as single-point outcomes without accounting for the transition states. This study aimed to explore the transition between different blood glucose states using a multistate Markov model among women with and without PCOS.

methodsThis study employed a dataset from the population-based study of the Tehran Lipid and Glucose Study. Women, aged over 20 years, without pre-DM and DM at baseline (1999-2000) and with documented PCOS status, were included; subsequent follow-ups were conducted every 3 years, totaling six follow-up assessments. Three states of 'Normoglycemia', 'Pre-DM', and 'DM' and three possible transitions of (I) normoglycemia to pre-DM, (II) normoglycemia to DM, and (III) pre-DM to DM were defined. The multi-state Markov models were applied to examine the predictive effect of PCOS on the transition rates throughout the progression of DM.

resultsOut of 1587 participated women, 782 (49.3%) remained free of pre-DM and DM at the end of the study. Transition from normoglycemia to pre-DM was the most frequent progression observed, affecting 46.6% of the study participants. Women with PCOS significantly had 23% higher hazard of transition I [HR (95% CI): 1.23 (1.01-1.49); p = 0.034] compared to those without PCOS. While being PCOS did not significantly affect the risk of other transitions.

conclusionsThis study underscores the significant impact of PCOS on the dynamic progression from normoglycemia to pre-DM. Future longitudinal studies are essential to support our findings.

Indexed as

Diabetes MellitusPolycystic Ovary SyndromePrediabetic StateAdultBlood GlucoseDisease ProgressionFemaleFollow-Up StudiesHumansIranMarkov ChainsYoung AdultBlood Glucosediabetesmultistate modelpolycystic ovarian syndromepre‐diabetes

Identifiers

PMID42659541
PMCPMC13521517

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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.