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Metformin increases pressure pain threshold in lean women with polycystic ovary syndrome

Overview of attention for article published in Drug Design, Development and Therapy, August 2016
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Title
Metformin increases pressure pain threshold in lean women with polycystic ovary syndrome
Published in
Drug Design, Development and Therapy, August 2016
DOI 10.2147/dddt.s109086
Pubmed ID
Authors

Marta Kiałka, Tomasz Milewicz, Krystyna Sztefko, Iwona Rogatko, Renata Majewska

Abstract

Despite the strong preclinical rationale, there are only very few data considering the utility of metformin as a potential pain therapeutic in humans. The aim of this study was to determine the association between metformin therapy and pressure pain threshold (PPT) in lean women with polycystic ovary syndrome (PCOS). We hypothesized that metformin therapy in lean PCOS women increases PPT. Twenty-seven lean PCOS women with free androgen index phenotype >5 and 18 lean healthy controls were enrolled in the study. Fifteen of the PCOS women were randomly assigned to be treated with metformin 1,500 mg daily for 6 months. PPT and plasma β-endorphin levels were measured in all women at the beginning of the study and after 6 months of observation. We observed an increase in PPT values measured on deltoid and trapezius muscle in the PCOS with metformin group after 6 months of metformin administration (4.81±0.88 kg/cm(2), P<0.001 on deltoid muscle, and 5.71±1.16 kg/cm(2) on trapezius muscle). We did not observe any significant changes in PPT values in the PCOS without treatment group and in controls. We did not observe any significant changes in serum β-endorphin levels in any studied groups during the 6-month observation. We conclude that metformin therapy increases PPT in lean PCOS women, without affecting plasma β-endorphin concentration. Our results may suggest the potential role of metformin in pain therapy. We propose that larger, randomized studies on metformin impact on pain perception should be performed.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 17%
Student > Master 4 13%
Professor > Associate Professor 2 7%
Student > Ph. D. Student 2 7%
Researcher 2 7%
Other 2 7%
Unknown 13 43%
Readers by discipline Count As %
Medicine and Dentistry 8 27%
Nursing and Health Professions 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Environmental Science 1 3%
Other 4 13%
Unknown 13 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 August 2016.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Drug Design, Development and Therapy
#1,754
of 2,268 outputs
Outputs of similar age
#339,042
of 381,020 outputs
Outputs of similar age from Drug Design, Development and Therapy
#49
of 76 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.