Evidence map›Paper›PMID 27730077›Full record

ArticleIndian journal of endocrinology and metabolism

Carotid intimo-medial thickness: A predictor for cardiovascular disorder in patients with polycystic ovarian syndrome in the South Indian population.

Neeraj Garg, Mala Dharmalingam, Vinay Prabhu, N S Murthy

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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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 85% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Neeraj GargDepartment of Endocrinology, M.S. Ramaiah Medical College, Bengaluru, Karnataka, India.
Mala DharmalingamDepartment of Endocrinology, M.S. Ramaiah Medical College, Bengaluru, Karnataka, India.
Vinay PrabhuDepartment of Radiology, M.S. Ramaiah Medical College, Bengaluru, Karnataka, India.
N S MurthyDivision of Resarch and Patents, M.S. Ramaiah Medical College, Bengaluru, Karnataka, India.
M.S. Ramaiah Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolycystic ovary syndrome (PCOS) is a common endocrine problem, which is now recognized as not only a reproductive but also a metabolic disorder with long-term effects on women's health, it has a prevalence of 5-10% in India. Among PCOS, it has been reported to have a higher incidence of cardiovascular disorders. Epidemiological studies have demonstrated an association between an increase in the carotid intimo-medial wall thickness (CIMT) and cardiovascular dysfunction. The objective of this study was to compare the CIMT of PCOS with normal women. MATERIALS AND

methodsThe cross-sectional case-control study was conducted in a tertiary care Hospital in South India. Fifty-four subjects with polycystic ovarian disease and 54 healthy women were enrolled into the study. PCOS was diagnosed by Rotterdam criteria, 2003. Both groups of women were investigated with CIMT and cardiovascular dysfunction.

resultsThe mean age of women with PCOS and controls were 24.4 ± 5.3 and 27.7 ± 6.0, respectively, whereas body mass index was significantly higher in PCOS than controls group. Mean carotid IMT was significantly higher in PCOS subjects (0.51 ± 0.078) than control subjects (0.44 ± 0.06).

conclusionHigher CIMT values were observed in PCOS group compared to control group indicating the importance for measuring CIMT in women with PCOS to predict the risk of cardiovascular dysfunction (CVD).

Indexed as

Cardiovascular dysfunctioncarotid intimo-medial thicknesspolycystic ovary syndrome

Identifiers

PMID27730077
PMCPMC5040047
OpenAlexW2519101390

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.