Evidence map›Paper›PMID 42541059›Full record

ArticleIndian journal of endocrinology and metabolism

Assessment of Glycemic Variability in Patients with Polycystic Ovarian Syndrome Using Continuous Glucose Monitoring System.

Nitesh K Bauddh, Krishna Biswas, Radhika Jindal, Purnima Agrawal

Abstract read
In one paragraph

Article in Indian journal of endocrinology and metabolism. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Nitesh K BauddhDepartment of Endocrinology, Govt Medical College, Kota, Rajasthan, India.
Krishna BiswasDepartment of Endocrinology, VMMC and Safdarjung Hospital, New Delhi, India.
Radhika JindalDepartment of Endocrinology, VMMC and Safdarjung Hospital, New Delhi, India.
Purnima AgrawalDepartment of Endocrinology, VMMC and Safdarjung Hospital, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Polycystic ovarian syndrome (PCOS) predisposes females to metabolic syndrome, diabetes mellitus, and cardiovascular diseases. Continuous glucose monitoring system (CGMS) offers the advantage of better understanding of glycaemic variability as compared to oral glucose tolerance test (OGTT). There is scarce data regarding use of CGMS in understanding glycaemic variability in patients of PCOS. Methods: Fifty nondiabetic PCOS patients of age group 16-45 years diagnosed by Rotterdam criteria (2003) were included and subjected to CGM for 72 hours. Results: The mean age of participants was 23.32 ± 4.58 years. Family history of diabetes mellitus in a first degree relative was present in 40% patients. On OGTT, dysglycemia was present in 14 patients-5 (10%) had impaired fasting glucose (IFG), 6 (12%) had impaired glucose tolerance (IGT), and 6 (12%) had both IFG and IGT. Glycemic variability and post prandial glycaemic excursion (PPGE) were found to have significant positive correlation with Luteinizing hormone: Follicle-stimulating hormone (LH: FSH) ratio [r = 0.37 ( Conclusion: CGMS detected high glycaemic variability and exaggerated post meal glycaemic excursions in Indian non diabetic PCOS patients having either positive family history of diabetes mellitus or IR or higher LH: FSH ratio.

Indexed as

Continuous glucose monitoring systemglycaemic variabilityinsulin resistancepolycystic ovarian syndromepostprandial glycaemic excursion

Identifiers

PMID42541059
PMCPMC13427013

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