ArticleRevista da Associacao Medica Brasileira (1992)2026
The discriminative role of angiopoietin-like protein-3 for metabolic syndrome in polycystic ovary syndrome.
Article in Revista da Associacao Medica Brasileira (1992), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivePatients with polycystic ovary syndrome face an increased risk of developing metabolic syndrome. Identifying biomarkers that can detect metabolic syndrome in polycystic ovary syndrome is essential, as it may enable physicians to implement preventive strategies aimed at reducing the risk of metabolic complications. The aim of this study was to assess angiopoietin-like protein-3 levels in polycystic ovary syndrome and to investigate the potential of angiopoietin-like protein-3 for discriminating metabolic syndrome in polycystic ovary syndrome.
methodsA total of 50 women with polycystic ovary syndrome and 45 controls were included in this prospective study. Then, polycystic ovary syndrome patients were categorized into two subgroups: metabolic syndrome-positive (n=15) and metabolic syndrome-negative polycystic ovary syndrome (n=35). Age, parity, body mass index, blood pressure, waist circumference, Ferriman-Gallwey scores, hormone and lipid profiles, glucose, insulin, C-reactive protein, procalcitonin, and angiopoietin-like protein-3 levels were compared between groups.
resultsThe median angiopoietin-like protein-3 level was significantly higher in polycystic ovary syndrome as compared to controls [41.19 (15.28-69.56) vs. 29.11 (9.85-66.25) ng/mL, p<0.001]. Similarly, angiopoietin-like protein-3 levels were higher in metabolic syndrome-positive polycystic ovary syndrome patients compared to those without metabolic syndrome (p=0.010). Angiopoietin-like protein-3 >32.5 ng/mL yielded a sensitivity of 76% and a specificity of 66.7% for predicting polycystic ovary syndrome (p<0.001, AUC=0.751), while angiopoietin-like protein-3 >44.54 ng/mL provided 68.8% sensitivity and 79.4% specificity for predicting metabolic syndrome in polycystic ovary syndrome (p=0.002, AUC=0.759). No correlation was detected between angiopoietin-like protein-3 and systolic blood pressure, body mass index, waist circumference, glucose, homeostatic model assessment insulin resistance, lipids, and inflammatory markers in polycystic ovary syndrome patients with metabolic syndrome.
conclusionAngiopoietin-like protein-3 could discriminate metabolic syndrome in polycystic ovary syndrome patients. However, given that the correlation analysis did not find any association between Angiopoietin-like protein-3 and any etiopathogenesis-related characteristic, we think that further research is necessary to determine how it accomplishes this.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.