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Combination therapy as a potential risk factor for the development of type 2 diabetes in patients with schizophrenia: the GOMAP study

Overview of attention for article published in BMC Psychiatry, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
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12 X users
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1 Facebook page
video
1 YouTube creator

Citations

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5 Dimensions

Readers on

mendeley
134 Mendeley
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2 CiteULike
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Title
Combination therapy as a potential risk factor for the development of type 2 diabetes in patients with schizophrenia: the GOMAP study
Published in
BMC Psychiatry, August 2018
DOI 10.1186/s12888-018-1826-4
Pubmed ID
Authors

Vasiliki Mamakou, Sophie Hackinger, Eleni Zengini, Evgenia Tsompanaki, Eirini Marouli, Ioannis Serafetinidis, Bram Prins, Athina Karabela, Eirini Glezou, Lorraine Southam, Nigel W. Rayner, Karoline Kuchenbaecker, Klea Lamnissou, Vassilis Kontaxakis, George Dedoussis, Fragiskos Gonidakis, Anastasia Thanopoulou, Nikolaos Tentolouris, Eleftheria Zeggini

Abstract

Schizophrenia (SCZ) is associated with increased risk of type 2 diabetes (T2D). The potential diabetogenic effect of concomitant application of psychotropic treatment classes in patients with SCZ has not yet been evaluated. The overarching goal of the Genetic Overlap between Metabolic and Psychiatric disease (GOMAP) study is to assess the effect of pharmacological, anthropometric, lifestyle and clinical measurements, helping elucidate the mechanisms underlying the aetiology of T2D. The GOMAP case-control study (Genetic Overlap between Metabolic and Psychiatric disease) includes hospitalized patients with SCZ, some of whom have T2D. We enrolled 1653 patients with SCZ; 611 with T2D and 1042 patients without T2D. This is the first study of SCZ and T2D comorbidity at this scale in the Greek population. We retrieved detailed information on first- and second-generation antipsychotics (FGA, SGA), antidepressants and mood stabilizers, applied as monotherapy, 2-drug combination, or as 3- or more drug combination. We assessed the effects of psychotropic medication, body mass index, duration of schizophrenia, number of hospitalizations and physical activity on risk of T2D. Using logistic regression, we calculated crude and adjusted odds ratios (OR) to identify associations between demographic factors and the psychiatric medications. Patients with SCZ on a combination of at least three different classes of psychiatric drugs had a higher risk of T2D [OR 1.81 (95% CI 1.22-2.69); p = 0.003] compared to FGA alone therapy, after adjustment for age, BMI, sex, duration of SCZ and number of hospitalizations. We did not find evidence for an association of SGA use or the combination of drugs belonging to two different classes of psychiatric medications with increased risk of T2D [1.27 (0.84-1.93), p = 0.259 and 0.98 (0.71-1.35), p = 0.885, respectively] compared to FGA use. We find an increased risk of T2D in patients with SCZ who take a combination of at least three different psychotropic medication classes compared to patients whose medication consists only of one or two classes of drugs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 134 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 26 19%
Student > Master 14 10%
Student > Ph. D. Student 12 9%
Student > Postgraduate 11 8%
Researcher 10 7%
Other 15 11%
Unknown 46 34%
Readers by discipline Count As %
Medicine and Dentistry 24 18%
Nursing and Health Professions 19 14%
Psychology 16 12%
Biochemistry, Genetics and Molecular Biology 6 4%
Neuroscience 5 4%
Other 14 10%
Unknown 50 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 23 August 2018.
All research outputs
#2,392,811
of 23,098,660 outputs
Outputs from BMC Psychiatry
#875
of 4,771 outputs
Outputs of similar age
#51,181
of 331,122 outputs
Outputs of similar age from BMC Psychiatry
#25
of 100 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,771 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done well, scoring higher than 81% of its peers.
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 331,122 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.