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A prospective hospital study of alcohol use disorders, comorbid psychiatric conditions and withdrawal prognosis

Overview of attention for article published in Annals of General Psychiatry, August 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

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7 tweeters

Citations

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9 Dimensions

Readers on

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56 Mendeley
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Title
A prospective hospital study of alcohol use disorders, comorbid psychiatric conditions and withdrawal prognosis
Published in
Annals of General Psychiatry, August 2016
DOI 10.1186/s12991-016-0111-5
Pubmed ID
Authors

Philippe Nubukpo, Murielle Girard, Jean-Marie Sengelen, Sophie Bonnefond, Aurélien Varnoux, Benoît Marin, Dominique Malauzat

Abstract

The objective of this study was to describe the profile and alcoholic status of a population with alcohol use disorders (AUD) requesting help from a psychiatric hospital to stop drinking, as well as their clinical outcome and care consumption over the 2 years following the request. The visits were conducted at baseline (M0) and at 6, 12, 18 and 24 months (M6, M12, M18, M24). Demographic, clinical and psychometric data [Beck Depression Inventory (BDI), AUDIT questionnaire, Global Assessment of Functioning (GAF) scale], and information regarding the use of psychiatric care and therapeutics were collected. The 330 subjects included were mostly male, aged 45.2 ± 10.2 years with an employment rate of 55.4 %, living alone (69.1 %), with a psychiatric comorbidity (60.9 %), especially depressive, and with few somatic complications. Their global functioning was poor (GAF score 49.14 ± 15.6), and less than 10 % were addicted to another substance. The abstinence rate at 24 months was 41.4 %, but only 23 % (20) abstained continuously between M0 and M24, and 66.7 % (58) intermittently. The likelihood of abstinence at M24 was greater for females aged over 60 years. The BDI score decreased significantly between M0 and M24. In all, 56.2 % of the participants were re-hospitalized after weaning, but were not integrated in long-term medical care. Abstinence after alcohol withdrawal fluctuated over time indicating the need for long-term support. The treatment of AUD should not target total, continuous abstinence. Prognostic profiles combining socio-demographic, clinical and biological indicators must be established.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 29%
Researcher 8 14%
Student > Ph. D. Student 6 11%
Student > Doctoral Student 6 11%
Professor > Associate Professor 4 7%
Other 8 14%
Unknown 8 14%
Readers by discipline Count As %
Medicine and Dentistry 12 21%
Psychology 10 18%
Nursing and Health Professions 8 14%
Social Sciences 5 9%
Neuroscience 5 9%
Other 3 5%
Unknown 13 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 October 2016.
All research outputs
#5,896,076
of 18,224,724 outputs
Outputs from Annals of General Psychiatry
#146
of 446 outputs
Outputs of similar age
#96,244
of 273,343 outputs
Outputs of similar age from Annals of General Psychiatry
#1
of 1 outputs
Altmetric has tracked 18,224,724 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 446 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 67% 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 273,343 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them