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Psychopathological and sociodemographic features in treatment-resistant unipolar depression versus bipolar depression: a comparative study

Overview of attention for article published in BMC Psychiatry, March 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 blog
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3 X users
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1 Facebook page

Citations

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19 Dimensions

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78 Mendeley
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Title
Psychopathological and sociodemographic features in treatment-resistant unipolar depression versus bipolar depression: a comparative study
Published in
BMC Psychiatry, March 2018
DOI 10.1186/s12888-018-1641-y
Pubmed ID
Authors

Nicolas A. Nuñez, Stefano Comai, Eduard Dumitrescu, Maykel F. Ghabrash, John Tabaka, Marie Saint-Laurent, Stephen Vida, Theodore Kolivakis, Allan Fielding, Nancy Low, Pablo Cervantes, Linda Booij, Gabriella Gobbi

Abstract

Some authors have hypothesized that Treatment-Resistant Unipolar Depression (TRD-UP) should be considered within the bipolar spectrum disorders and that hidden bipolarity may be a risk factor for TRD-UP. However, there are neither studies comparing clinical and sociodemographic data of patients with TRD-UP versus Bipolar (BP) disorders nor are there any examining differences versus Bipolar type I (BP-I) and Bipolar type II (BP-II). Charts analysis was conducted on 194 patients followed at the Mood Disorders Clinic of the McGill University Health Center. Sociodemographic, clinical features and depression scales were collected from patients meeting DSM-IV criteria for TRD-UP (n = 100) and BP (n = 94). Binary logistic regression analysis was conducted to examine clinical predictors independently associated with the two disorders. Compared to BP, TRD-UP patients exhibited greater severity of depression, prevalence of anxiety and panic disorders, melancholic features, Cluster-C personality disorders, later onset of depression and fewer hospitalizations. Binary logistic regression indicated that higher comorbidity with anxiety disorders, higher depression scale scores and lower global assessment of functioning (GAF) scores, and lower number of hospitalizations and psychotherapies differentiated TRD-UP from BP patients. We also found that the rate of unemployment and the number of hospitalizations for depression was higher in BP-I than in BP-II, while the rate of suicide attempts was lower in BP-I than in BP-II depressed patients. These results suggest that TRD-UP constitutes a distinct psychopathological condition and not necessarily a prodromal state of BP depression.

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The data shown below were collected from the profiles of 3 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 18%
Researcher 8 10%
Student > Ph. D. Student 7 9%
Student > Doctoral Student 6 8%
Student > Postgraduate 5 6%
Other 14 18%
Unknown 24 31%
Readers by discipline Count As %
Psychology 15 19%
Medicine and Dentistry 15 19%
Biochemistry, Genetics and Molecular Biology 4 5%
Neuroscience 3 4%
Social Sciences 3 4%
Other 10 13%
Unknown 28 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 20 March 2018.
All research outputs
#3,713,268
of 23,028,364 outputs
Outputs from BMC Psychiatry
#1,355
of 4,748 outputs
Outputs of similar age
#74,756
of 333,153 outputs
Outputs of similar age from BMC Psychiatry
#45
of 89 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,748 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 gotten more attention than average, scoring higher than 70% 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 333,153 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 77% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.