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Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios: are they useful for predicting gestational diabetes mellitus during pregnancy?

Overview of attention for article published in Therapeutics and Clinical Risk Management, April 2016
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Title
Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios: are they useful for predicting gestational diabetes mellitus during pregnancy?
Published in
Therapeutics and Clinical Risk Management, April 2016
DOI 10.2147/tcrm.s104247
Pubmed ID
Authors

Mehmet Akif Sargın, Murat Yassa, Bilge Dogan Taymur, Ayhan Celik, Emrah Ergun, Niyazi Tug

Abstract

We aimed to investigate whether the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) could be utilized to screen for gestational diabetes mellitus (GDM). NLR and PLR were assessed by retrospective analysis of 762 healthy and pregnant women with GDM. The patients were stratified into four groups, as follows: GDM (n=144), impaired glucose tolerance (n=76), only screen positive (n=238), and control (n=304). The leukocyte, neutrophil, and lymphocyte counts were significantly higher in the study groups compared with the control group (P=0.001; P<0.01). There were no statistically significant differences between the groups with respect to the NLR and PLR (P>0.05). We do not recommend that blood NLR and PLR can be used to screen for GDM. However, increase in the leukocyte count is an important marker for GDM as it provides evidence of subclinical inflammation.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 15%
Other 6 13%
Student > Bachelor 6 13%
Student > Postgraduate 5 10%
Student > Ph. D. Student 4 8%
Other 7 15%
Unknown 13 27%
Readers by discipline Count As %
Medicine and Dentistry 20 42%
Neuroscience 2 4%
Agricultural and Biological Sciences 2 4%
Nursing and Health Professions 2 4%
Unspecified 1 2%
Other 6 13%
Unknown 15 31%
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 05 May 2016.
All research outputs
#20,103,978
of 25,576,275 outputs
Outputs from Therapeutics and Clinical Risk Management
#1,018
of 1,324 outputs
Outputs of similar age
#220,135
of 315,173 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#45
of 56 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,324 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,173 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.